is...(what am I doing? What I do best. Nothin. put something here)
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Konaploinks
Re: Konaploinks post# 11393
Tuesday, 03/19/2024 6:26:02 PM
A lot of talk on Vcsy chat site about reverse splits etc. No reverse split and no sale of Corp to anyone other than a well know established huge corporation for no less than half stock and half cash. No way a sale to some newbie Corp. That would be a huge red flag. Just sayin. We should all be on guard for anything and everything. Very little communication from your corporation is never good. A little “ hang in there just a little longer shareholder's “ would go a long way. But we get crickets. Pathetic. Sad. Disgusting really.
Where am I defending him? I’ve been calling for jail time louder than anyone here or on chat site. No one seems to have an answer. Weird at best. Call the Dallas D A and ask him. I bet u get stonewalled. Good luck to us forgotten shareholders.
I wonder if someone knows something we don’t? Someone had a heads up before latest news the other day. It was pretty obvious imo Let’s see what tomorrow brings.
lol. I told u I was always wrong.
Unless huge news comes out with huge $$$. I think this will drop back to around 7.80 ? But what do I know. My crystal ball is always wrong.
I believe the Cruz patent expired about a year ago? Correct me if I’m wrong. It’s been over 20 years since granted.
Jack. I agree. Keeping some powder dry for the 7’s possibly? Looks like some good support around 7.80. We shall see. Nothing wrong with the corp. Just the world. Lol
Looks like time to buy more? The shorts are having a field day.
Hey Doc! Ya think Jensen needs VCSY patents and ionq? I can see Elizabeth blowing her top! Great day in the morning. LOL 😄😂🤣Crush her Jensen.
The more I think of it Jensen makes the most sense for a buyout offer. Do a j v first then kinda roll it into nvda as a subsidiary to keep Elizabeth and Bernie at bay, then go whole hog and rename the corp after a buyout as something new like JenQ. Or ??? Elon , Sam, Billy , Mark and or Mark ( the funky bunch lol) Larry, Jeff, etc etc are gonna do it. Who’s on first?
I think once the word is out about quantum working at the molecular level, silicon chip stocks for classical computing will take a major hit. Quantum is coming. Get in.
Qualcomm makes sense. But they too need to diversify. Imo Get more into quantum or be left in the dust of a mountain of silicon chips .
I know. I know. SHOW ME THE MONEY !$$$$$$$
Reconfigure on the fly? Quantum FPGA’s. Quantum Clouds. Quantum memresistors. Quantum Capacitors. Quantum hybrids / Cuda-Q. Quantum is coming. Get in.
Yeah. Intel is in no position to buy us. But they need to diversify quickly. The “ 1 chip wonders” will soon all die if they don’t diversify. Jensen has and is in the lead. Imo. He would be very wise to scoop up Ionq as he already has Cuda-Q up and running. But does he have the cash? Answer. He just sold a ton of Nvda for something. I’m sure he didn’t just bank it. lol. Maybe he will make Ionq an offer soon. That would be a hoot!
Here ya go.
Troubled chipmaker Intel has rejected a bid by chip designer Arm Holdings for its product division, Bloomberg reported late Thursday.
It was the latest of several Intel-related rumors. Earlier this week, the news outlet reported that Apollo Global Management had offered to invest as much as $5 billion in Intel, days after The Wall Street Journal said that Qualcomm had made a "takeover approach" for it.
Intel shares have lost more than half their value since the start of the year amid concerns about the chipmaker's ability to turn around its business.
Yet another Intel (INTC) rumor is out there—this time, about a deal that appears not to be happening.
The embattled chipmaker, shares of which are down more than 50% this year, rejected a bid by chip designer Arm Holdings (ARM) for its product division, Bloomberg reported late Thursday.
1
Intel's woes have attracted deal activity, as well as deal chatter. Earlier this week, the news outlet reported that Apollo Global Management had offered to invest as much as $5 billion in Intel,. Days earlier,The Wall Street Journal said that Qualcomm (QCOM) had made a "takeover approach" for the company.
2
3
Apart from its product division, which sells chips for personal computers, servers and networking equipment, Intel's other main unit is one that operates its factories. Both Arm and Intel declined to comment.
Intel, which is struggling with high debt levels and trying to stem losses, earlier this month updated investors about its strategic plans, which include separating the chip product division from its manufacturing operations.
Intel shares finished Friday—and the week—little changed. Investor concerns that the chipmaker will struggle to turn around its business have weight on the stock this year.
No. I don’t listen. And I haven’t heard anything about an Intel buyout. I’ll go check.
What if they’re a rogue race of robots? Quantum out of control as we fear could have happened on another planet thousands of years ago. Spooky stuff for sure. Einstein was right when he described it as “ Spooky action at a distance “
I left out 1 other possibilitie. A merger with 1 of the Mag 7 or another quantum start up? Or someone like Intel , Broadcom or AMD etc etc ? It’s going to get very interesting soon. I can’t see these big corporations sitting on their hands much longer while Ionq’s price shoots up with each new benchmark. Somebody is going to make a move on them. They may have already. Fridays vol was huge! I think it was something like 10 times 10 day avg vol. The word is getting out. Quantum is coming. Get in or be shut out if one of the big boys busts a move.
This came out around the time Elon raised the alarm for everyone to stop and form a huddle. Then he goes off and starts his own. Lol. I guess that meeting/huddle didn’t go so well. Maybe nasa was contacted by extraterrestrial life? Who knows. But they stopped because something freaked them out. Maybe extraterrestrial life is quantum life? They’re all just robots that got loose from some other far away galaxy? They’re here studying us. Creepy ey?
Key Takeaways
Berkeley Lab researchers have reported a major advancement that could bring us closer to a scalable quantum computer.
Using a femtosecond laser during experiments which explore the role of hydrogen in qubit formation, the researchers developed a method that programs the formation of telecom-band optical qubits in silicon for large-scale manufacturing.
The technique could enable scalable quantum computers of the future by building on current silicon-based computing infrastructure.
Quantum computers have the potential to solve complex problems in human health, drug discovery, and artificial intelligence millions of times faster than some of the world’s fastest supercomputers. A network of quantum computers could advance these discoveries even faster. But before that can happen, the computer industry will need a reliable way to string together billions of qubits – or quantum bits – with atomic precision.
Connecting qubits, however, has been challenging for the research community. Some methods form qubits by placing an entire silicon wafer in a rapid annealing oven at very high temperatures. With these methods, qubits randomly form from defects (also known as color centers or quantum emitters) in silicon’s crystal lattice. And without knowing exactly where qubits are located in a material, a quantum computer of connected qubits will be difficult to realize.
But now, getting qubits to connect may soon be possible. A research team led by Lawrence Berkeley National Laboratory (Berkeley Lab) says that they are the first to use a femtosecond laser to create and “annihilate” qubits on demand, and with precision, by doping silicon with hydrogen.
The advance could enable quantum computers that use programmable optical qubits or “spin-photon qubits” to connect quantum nodes across a remote network. It could also advance a quantum internet that is not only more secure but could also transmit more data than current optical-fiber information technologies.
“This could carve out a potential new pathway for industry to overcome challenges in qubit fabrication and quality control.”
– Thomas Schenkel, senior scientist, Accelerator Technology & Applied Physics Division
“To make a scalable quantum architecture or network, we need qubits that can reliably form on-demand, at desired locations, so that we know where the qubit is located in a material. And that’s why our approach is critical,” said Kaushalya Jhuria, a postdoctoral scholar in Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) Division. She is the first author on a new study that describes the technique in the journal Nature Communications. “Because once we know where a specific qubit is sitting, we can determine how to connect this qubit with other components in the system and make a quantum network.”
“This could carve out a potential new pathway for industry to overcome challenges in qubit fabrication and quality control,” said principal investigator Thomas Schenkel, head of the Fusion Science & Ion Beam Technology Program in Berkeley Lab’s ATAP Division. His group will host the first cohort of students from the University of Hawaii in June as part of a DOE Fusion Energy Sciences-funded RENEW project on workforce development where students will be immersed in color center/qubit science and technology.
Forming qubits in silicon with programmable control
The new method uses a gas environment to form programmable defects called “color centers” in silicon. These color centers are candidates for special telecommunications qubits or “spin photon qubits.” The method also uses an ultrafast femtosecond laser to anneal silicon with pinpoint precision where those qubits should precisely form. A femtosecond laser delivers very short pulses of energy within a quadrillionth of a second to a focused target the size of a speck of dust.
Spin photon qubits emit photons that can carry information encoded in electron spin across long distances – ideal properties to support a secure quantum network. Qubits are the smallest components of a quantum information system that encodes data in three different states: 1, 0, or a superposition that is everything between 1 and 0.
With help from Boubacar Kanté, a faculty scientist in Berkeley Lab’s Materials Sciences Division and professor of electrical engineering and computer sciences (EECS) at UC Berkeley, the team used a near-infrared detector to characterize the resulting color centers by probing their optical (photoluminescence) signals.
What they uncovered surprised them: a quantum emitter called the Ci center. Owing to its simple structure, stability at room temperature, and promising spin properties, the Ci center is an interesting spin photon qubit candidate that emits photons in the telecom band. “We knew from the literature that Ci can be formed in silicon, but we didn’t expect to actually make this new spin photon qubit candidate with our approach,” Jhuria said.
An artistic depiction of a new method to create high-quality color-centers (qubits) in silicon at specific locations using ultrafast laser pulses (femtosecond, or one quadrillionth of a second). The inset at the top-right shows an experimentally observed optical signal (photoluminescence) from the qubits, with their structures displayed at the bottom.
An artistic depiction of a new method to create high-quality color-centers (qubits) in silicon at specific locations using ultrafast laser pulses (femtosecond, or one quadrillionth of a second). The inset at the top-right shows an experimentally observed optical signal (photoluminescence) from the qubits, with their structures displayed at the bottom. (Credit: Kaushalya Jhuria/Berkeley Lab)
The researchers learned that processing silicon with a low femtosecond laser intensity in the presence of hydrogen helped to create the Ci color centers. Further experiments showed that increasing the laser intensity can increase the mobility of hydrogen, which passivates undesirable color centers without damaging the silicon lattice, Schenkel explained.
A theoretical analysis performed by Liang Tan, staff scientist in Berkeley Lab’s Molecular Foundry, shows that the brightness of the Ci color center is boosted by several orders of magnitude in the presence of hydrogen, confirming their observations from laboratory experiments.
“The femtosecond laser pulses can kick out hydrogen atoms or bring them back, allowing the programmable formation of desired optical qubits in precise locations,” Jhuria said.
The team plans to use the technique to integrate optical qubits in quantum devices such as reflective cavities and waveguides, and to discover new spin photon qubit candidates with properties optimized for selected applications.
“Now that we can reliably make color centers, we want to get different qubits to talk to each other – which is an embodiment of quantum entanglement – and see which ones perform the best. This is just the beginning,” said Jhuria.
“The ability to form qubits at programmable locations in a material like silicon that is available at scale is an exciting step towards practical quantum networking and computing,” said Cameron Geddes, Director of the ATAP Division.
Theoretical analysis for the study was performed at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab with support from the NERSC QIS@Perlmutter program.
The Molecular Foundry and NERSC are DOE Office of Science user facilities at Berkeley Lab.
This work was supported by the DOE Office of Fusion Energy Sciences.
###
Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to delivering solutions for humankind through research in clean energy, a healthy planet, and discovery science. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 16 Nobel Prizes. Researchers from around the world rely on the Lab’s world-class scientific facilities for their own pioneering research. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
You’ll like this doc. LQM’s coming!
Large Quantitative Models
SandboxAQ generates proprietary data using physics-based methods, and trains Large Quantitative Models (LQMs) on that data, leading to new insights in areas, such as life sciences, energy, chemicals, and financial services. While Large Language Models (LLMs) have recently captured widespread attention, the next wave of AI — LQMs — promises an even greater impact.
Biopharma
Accelerate drug discovery with faster, more accurate predictions for lead generation and hitting targets.
Generative AI-based output of new drugs optimized for multiple objectives including synthesizability.
Causal reasoning over multi-omics and literature-omics data to model biology and address scientific hypotheses directly.
New Materials
Develop new materials for cars, planes and construction.
Deliver increased efficiency, affordability, and sustainability.
Create new compounds, including innovative battery chemistries.
AQBioSim – Accelerating drug discovery from molecule to medicine
Our AQBioSim technology stack allows us to accurately predict the behavior of molecules, to generate new molecular structures with desired properties, and to combine these predictions into biologically-relevant insights. It includes AQ-FEP, the fastest available free energy perturbation solution, able to deliver unprecedented accuracy in affinity prediction even to the hit finding stage of drug discovery with no need for congeneric reference data.
LQM models trained on our physics-based technology go on to produce entirely new molecules from scratch with desired sets of properties. By combining our molecular simulation insights with biological pathway analysis inferred from literature, simulated, and omics data streams, we are able to connect the biological to the molecular scale, making predictions about target identification, toxicity, and qualitative disease mode of action (MOA).
AQBioSim - Accelerating drug discovery from molecule to medicine
AQChemSim – Large Quantitative Models for Chemicals & Materials
Designing and manufacturing new materials and chemicals has traditionally been slow, expensive, and challenging. AI can revolutionize discovery by creating novel molecules in seconds, but it relies on high-quality data, which is scarce. SandboxAQ addresses this through Large Quantitative Models, generating its own training data in silico and guiding AI with physics. This improves speed and accuracy, bringing products to market faster while reducing cost.
The AQ Difference
SandboxAQ has built a global team with some of the world’s foremost experts in AQ, including physicists, biologists, computational and medicinal chemists. We are working with global enterprises and government organizations to deliver practical solutions to the market today. Our expertise and deep ties with quantum leaders in academia, industry and the government make SandboxAQ uniquely qualified to develop unmatched AI simulation applications.
Our Scientific Advisory Board
Current and former attributions
Dr. Steven Deitcher, CEO, Bespoke Biotherapeutics
Dr. Nikhil Gupta, Professor of Mechanical Engineering, New York University
Dr. Samir N Khleif, Immunologist, Oncologist, Drug Discovery, NIH, Georgetown, Georgiamune
Dr. Geoff Ling, CEO, OnDemand Pharmaceuticals, Professor of Neurology, Johns Hopkins, DARPA Biotech
Dr. Chris Marianetti, Professor of Materials Science, Applied Physics, and Applied Mathematics, Columbia University
Dr. Dane Morgan, Professor of Materials Science and Engineering, University of Wisconsin
Dr. Adrian Roitberg, Professor of Chemistry, University of Florida
Dr. Mark Smith, PhD - Head of Medicinal Chemistry, Stanford, Sarafan ChEM-H, Roche
Dr. Patricia Weber, PhD - SBDD expert
Dr. Eva Zurek, Professor of Chemistry, University of Buffalo
Contact us today for more information.
Resources
L Q M’s coming! Wow!
Large Quantitative Models
SandboxAQ generates proprietary data using physics-based methods, and trains Large Quantitative Models (LQMs) on that data, leading to new insights in areas, such as life sciences, energy, chemicals, and financial services. While Large Language Models (LLMs) have recently captured widespread attention, the next wave of AI — LQMs — promises an even greater impact.
Biopharma
Accelerate drug discovery with faster, more accurate predictions for lead generation and hitting targets.
Generative AI-based output of new drugs optimized for multiple objectives including synthesizability.
Causal reasoning over multi-omics and literature-omics data to model biology and address scientific hypotheses directly.
New Materials
Develop new materials for cars, planes and construction.
Deliver increased efficiency, affordability, and sustainability.
Create new compounds, including innovative battery chemistries.
AQBioSim – Accelerating drug discovery from molecule to medicine
Our AQBioSim technology stack allows us to accurately predict the behavior of molecules, to generate new molecular structures with desired properties, and to combine these predictions into biologically-relevant insights. It includes AQ-FEP, the fastest available free energy perturbation solution, able to deliver unprecedented accuracy in affinity prediction even to the hit finding stage of drug discovery with no need for congeneric reference data.
LQM models trained on our physics-based technology go on to produce entirely new molecules from scratch with desired sets of properties. By combining our molecular simulation insights with biological pathway analysis inferred from literature, simulated, and omics data streams, we are able to connect the biological to the molecular scale, making predictions about target identification, toxicity, and qualitative disease mode of action (MOA).
AQBioSim - Accelerating drug discovery from molecule to medicine
AQChemSim – Large Quantitative Models for Chemicals & Materials
Designing and manufacturing new materials and chemicals has traditionally been slow, expensive, and challenging. AI can revolutionize discovery by creating novel molecules in seconds, but it relies on high-quality data, which is scarce. SandboxAQ addresses this through Large Quantitative Models, generating its own training data in silico and guiding AI with physics. This improves speed and accuracy, bringing products to market faster while reducing cost.
The AQ Difference
SandboxAQ has built a global team with some of the world’s foremost experts in AQ, including physicists, biologists, computational and medicinal chemists. We are working with global enterprises and government organizations to deliver practical solutions to the market today. Our expertise and deep ties with quantum leaders in academia, industry and the government make SandboxAQ uniquely qualified to develop unmatched AI simulation applications.
Our Scientific Advisory Board
Current and former attributions
Dr. Steven Deitcher, CEO, Bespoke Biotherapeutics
Dr. Nikhil Gupta, Professor of Mechanical Engineering, New York University
Dr. Samir N Khleif, Immunologist, Oncologist, Drug Discovery, NIH, Georgetown, Georgiamune
Dr. Geoff Ling, CEO, OnDemand Pharmaceuticals, Professor of Neurology, Johns Hopkins, DARPA Biotech
Dr. Chris Marianetti, Professor of Materials Science, Applied Physics, and Applied Mathematics, Columbia University
Dr. Dane Morgan, Professor of Materials Science and Engineering, University of Wisconsin
Dr. Adrian Roitberg, Professor of Chemistry, University of Florida
Dr. Mark Smith, PhD - Head of Medicinal Chemistry, Stanford, Sarafan ChEM-H, Roche
Dr. Patricia Weber, PhD - SBDD expert
Dr. Eva Zurek, Professor of Chemistry, University of Buffalo
Contact us today for more information.
Resources
NSF News
NSF National Quantum Virtual Laboratory advances with first five pilot projects
Each project team will conduct exploratory work to help build a foundation for the eventual creation of a decentralized national resource enabling quantum information research and development
August 9, 2024
Realizing practical advantages and societal benefits from quantum-scale phenomena has been a long-sought milestone in quantum information science. The U.S. National Science Foundation today announced the initial $5 million investment across five pilot projects designed to help reach that milestone by taking the first steps toward creating the NSF National Quantum Virtual Laboratory (NQVL), a first-of-its-kind national resource to enable faster discovery and development of use-inspired quantum technologies.
With initial 12-month timelines, the five new pilot projects — funded at $1 million each — are led by quantum experts and others with diverse backgrounds spanning academia, industry, national labs and government. Five more pilot projects are expected to be announced later this year. The pilot project teams will be invited to compete for larger awards anticipated to fund NQVL's design and development as a federated resource, bringing together assets that will enable a diversity of quantum-focused research and development.
"The NSF National Quantum Virtual Laboratory represents a new approach NSF is taking to facilitate the complex and multistep process of translating new scientific ideas into fully developed technologies that benefit society," says acting NSF Assistant Director for Mathematical and Physical Sciences Denise Caldwell. "As a shared national resource, NQVL will also surmount the limitations inherent in using solely brick and mortar facilities — any qualified researcher or student can participate, regardless of where they are in the U.S."
NQVL will broaden access to specialized research infrastructure by functioning as a geographically distributed national resource. NQVL will grow and adapt to seize emerging opportunities and accelerate the translation of fundamental science and engineering into practical applications codesigned by a broad and diverse user community that spans computing, networking and sensing.
"U.S. competitiveness hinges on accelerating the translation of technological innovations into the market and society, as well as training the American workforce for the jobs of tomorrow," said Erwin Gianchandani, NSF assistant director for Technology, Innovation and Partnerships. "Through NQVL, NSF will invest in resources that will allow for research and experimentation of novel quantum technologies, opening new opportunities across a range of disciplines from new material discovery to health care interventions, all while providing critical workforce development opportunities to fill the quantum jobs anticipated over the next decade."
Throughout its life cycle, NQVL will provide workforce training and education opportunities to grow the U.S. STEM workforce, which will eventually lead the industries of the future. Democratizing access and building national quantum science capacity is part of NSF's strategy to fulfill the scientific and technological advancements identified in 2018's "National Quantum Initiative Act."
The pilot project teams will be invited to submit proposals for NSF's latest NQVL funding solicitation. The teams selected to receive NSF funding will design and use testbeds to refine their methodology, create prototypes of quantum-based technologies and advance their projects to the next stage. The team's activities will be coordinated by a central hub that NSF expects to select later in the NQVL development process.
The first five NQVL pilot projects are:?
Wide-Area Quantum Network to Demonstrate Quantum Advantage (SCY-QNet)
Led by Stony Brook University in collaboration with Columbia University, Yale University and Brookhaven National Laboratory, the team aims to build a long-distance 10-node quantum network to demonstrate quantum advantage through quantum communication and distributed quantum processing. Those technological advancements would help enable secure and privacy-preserving long-distance communication systems.
Quantum Advantage-Class Trapped Ion system (QACTI)
Led by Duke University in collaboration with the University of Chicago, Tufts University, North Carolina State University and North Carolina Agricultural and Technical State University, the team will pursue the creation of a 256-qubit ion trap quantum computing system. The system would be controllable over the internet and capable of running a wide range of quantum simulations and computations.
Deep Learning on Programmable Quantum Computers (DLPQC)
Led by the Massachusetts Institute of Technology in collaboration with Harvard University, the University of California Los Angeles and the University of Maryland, the team seeks to develop quantum computing platforms with more than 100 qubits for error-corrected computing capable of complex many-body analysis to solve problems in chemistry, advanced materials and physics.
Quantum Sensing and Imaging Lab (Q-SAIL)
Led by the University of California Los Angeles in collaboration with the University of Delaware, California Institute of Technology and the Massachusetts Institute of Technology, the team aims to develop quantum sensors based on two-dimensional trapped-ion arrays. Such sensors have the potential to substantially advance frequency metrology, with applications including telecommunications and navigation, terahertz imaging used in astronomy and medicine, and other areas.
Quantum Computing Applications of Photonics (QCAP)
Led by the University of New Mexico in collaboration with New Mexico State University, Sandia National Laboratories, Los Alamos National Laboratory, Skorpios Technologies Inc. and Hoonify Technologies Inc., the team's goal is to make quantum computers on chips using monolithically integrated quantum photonics to eventually develop this technology into a commercially viable product through partnership with industry.
Research areas
Directorate for Biological Sciences (BIO)
Directorate for Computer and Information Science and Engineering (CISE)
Directorate for STEM Education (EDU)
Directorate for Engineering (ENG)
Directorate for Mathematical and Physical Sciences (MPS)
Directorate for Technology, Innovation and Partnerships (TIP)
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Spooky! Lol
NASA's quantum computing project hits pause button; reason is shocking
22007 Views | 8 Feb 2024, 08:53 PM | Gaurav Sharma
The abrupt shutdown of NASA's quantum computing project was triggered by an unforeseen incident during a routine test.
NASA's quantum computing project hits pause button; reason is shocking
The NASA quantum computer project has been put on hold after a startling turn of events, sending shockwaves across the scientific community. Following a series of developments that have left experts wondering about the future of quantum computing and artificial intelligence, this unexpected decision comes as a shock.
According to quantum mechanics, quantum computers operate by using qubits, which are capable of existing in multiple states simultaneously. They operate on the principles of quantum mechanics, which are unlike traditional computers which use bits as zeros or ones.
The Shutdown and the Reasons Behind It
The abrupt shutdown of NASA's quantum computing project was triggered by an unforeseen incident during a routine test.
During the analysis of a complex simulation, the quantum computer demonstrated unprecedented computational power, solving a previously intractable problem. However, this remarkable achievement had an equally alarming consequence: quantum computers began generating outputs that made no sense and challenged conventional thinking.
Researchers and government officials were concerned that the quantum computer might have connected with an extraterrestrial intelligence or even entered an unknown realm of computation.
The potential risks associated with such an unpredictable and powerful machine prompted NASA and the U.S. government to take swift action, halting operations and initiating a thorough investigation.
The shutdown of NASA's quantum computing project is like a big alarm bell ringing about how amazing yet risky this new technology can be. This event shows us that we need to talk to each other across countries about how we develop and control quantum computing.
An old article but still some good info in it. Some of the problems stated here have already been solved such as error correction reaching 99.9 by IonQ …
#1 Towards large-scale quantum computers thanks to improvements in quantum error correction
Quantum computers use quantum bits (qubits). These bits are different from standard computer bits, which can be either 0 or 1, as they can be both 0 and 1. These machines could be much faster than the fastest computers available today as they would be able to compute with many qubits, resulting in an exponential increase in computing power. Qubits can be made from different materials, such as superconductors or trapped ions. Other future methods include photonic quantum processors that use light.
A true quantum computer will require the integration of many qubits into a single device. This will not be an easy task as they are very delicate and the quantum information they contain can easily be destroyed, leading to errors in quantum calculations.
To correct these errors, a quantum error correction (QEC) system will be essential. This generally involves encoding a bit of quantum information onto a set of qubits that act together as a single “logical qubit”. One such technique is surface coding, in which a quantum information bit is encoded onto an array of qubits. A problem with this approach, however, is that adding extra qubits to the system in turn adds extra sources of error.
According to physicists, true large-scale quantum computing will require an error rate of around one in a million, but the best current error correction technologies can only achieve rates of around one in a thousand. So, there is still a long way to go.
The success of this process is an important milestone for quantum technology infrastructures
Copié !
Researchers at Google Quantum AI have recently created a surface code scheme that should adapt to the error rate required in a quantum processor made up of superconducting qubits that constitute either data qubits (for operation) or measurement qubits. The latter are adjacent to the data qubits and can measure a bit or phase reversal. These are two types of error that affect the qubits.
The researchers found that a “distance-5 qubit array” comprising a total of 49 physical qubits had an error rate of 2.914%, compared with 3.028% for a « distance-3 array » comprising 17 qubits. This reduction shows that increasing the number of qubits is a viable route to “fault-tolerant quantum computing” and that an error rate of better than one in a million could be possible in a distance-17 qubit array comprising 577 qubits.
#2 A converter for different quantum devices
The platforms currently being developed for quantum computers are based on different quantum systems such as photons (particles of light), neutral atoms, ions, superconductors and semiconductors. In future quantum networks, these systems will need to communicate with each other, but as they rely on different types of coding, this could prove difficult.
Researchers at Laboratoire Kastler Brossel (LKB) in France have created a converter that enables quantum devices based on different systems to communicate. “We have designed a kind of black box that allows you to switch from one type of quantum information coding to another thanks to the phenomenon of entanglement,” explains physicist Julian Laurat, one of the members of the LKB team. Entanglement, the subject of the 2022 Nobel Prize in Physics, is a purely quantum phenomenon whereby two or more particles can have a closer relationship than that permitted by classical physics. This means that if we determine the quantum state of one of the particles, we can instantly determine the quantum state of the other, regardless of the distance separating them. Once considered a quirk of the quantum world, this “spooky action at a distance”, as Albert Einstein called it, is now exploited in quantum cryptography and communication systems, as well as in the sensors used to detect gravitational waves (a deformation of the fabric of space-time that propagates at the speed of light)..
Thanks to entanglement, the LKB researchers have been able to preserve the quantum codes information signal, which is fragile, while changing the basis on which it is written.
“The success of this process is an important milestone for quantum technology infrastructures,” points out Beate Asenbeck, a doctoral student at the LKB. “Once we can interconnect quantum devices, more complex and efficient networks can be built.”
The researchers have filed a patent to protect their technology, which is now being used by Welinq, a start-up founded by Julien Laurat and his colleague Tom Darras.
#3 Quantum error correction could improve astronomical imaging
High-resolution, long-baseline optical interferometers could revolutionise astronomical imaging: here, light from two or more telescopes, placed at a certain distance from each other, is combined to create an image of a celestial object, such as a star. The images obtained in this way have much finer detail than those obtained with each individual telescope. In this way, the multiple telescopes act as a gigantic “virtual” telescope whose diameter is much larger than that of any real telescope.
In theory, the further apart the telescopes are, the higher the image resolution. In practice, however, environmental noise and light losses between the two instruments degrade the quality of the light signals, limiting the possible distance between them.
Quantum technologies can help circumvent these “light transmission losses” by using quantum memories and entanglement to replace direct optical links between the telescopes, thereby increasing the distances between them. In the most direct approach, the signal could be stored in atomic states or qubits. However, one problem remains: these states are fragile and can be easily destroyed.
Researchers at Macquarie University in Australia and the National University of Singapore (NUS) have now found a way to protect the quantum information contained in the light coming from a celestial object.
In their new technique, the researchers manipulate the state of a star’s light from the two telescopes so that it is in a form that is protected from environmental noise. By then carrying out specific measurements, any errors in the qubits can be detected and corrected by the QEC codes before recovering the information contained in the starlight. This information is then used to construct an image of the star.
#4 Using quantum vacuum fluctuations to fabricate a high-speed random number generator
Modern cryptography relies on the generation of random numbers that are then used as keys to encrypt the huge amounts of data produced by governments and large corporations, for example. Although algorithms are commonly used to generate seemingly random numbers, a hacker could in principle work out the predetermined steps of an algorithm and thus predict its output.
An improved system would rather be based on a truly random process, like the probabilistic nature of phenomena that occur at the quantum level.
The vacuum of space is not really a vacuum but is teeming with random quantum fluctuations as pairs of particles and antiparticles are spontaneously created and then annihilated when they collide with each other. These processes occur on extremely short time scales and can been used to produce random numbers. The problem is that these systems are subject to parasitic noise from their own components, which slows down the process.
To solve this problem, researchers at Ghent University in Belgium built a computer chip (measuring just 5 mm in length) and then mapped all the imperfections in the chip as well as the sources of noise within it. This enabled them to identify the origin of the interference and measure the quantum fluctuations with much greater sensitivity. The result: a chip capable of generating random numbers 200 times faster than existing commercial devices.
#5 Quantum advantage without error correction
IBM researchers have shown that it is possible to achieve quantum advantage (or “supremacy”) without error correction. To do this, they used a 127-qubit quantum processor to calculate the magnetisation of a material using a 2D Ising model. This model represents the magnetic properties of a 2D material using a network of quantum spins that interact with their nearest neighbours. Apparently simple, this model is known to be extremely difficult to solve.
The researchers used a technique called “noisy intermediate-scale (NISQ) quantum computation” in which the calculation is performed rapidly to avoid the accumulation of errors1. This type of calculation will allow for more general quantum algorithms in the short term, before truly fault-tolerant quantum computers become available.
The calculation was carried out using a superconducting quantum chip comprising 127 qubits executing quantum circuits 60 layers deep with a total of around 2800 two-qubit gates. These gates are the quantum analogues of conventional logic gates.
The quantum circuit generates highly entangled quantum states that the researchers then used to program the 2D Ising model by performing a sequence of operations on the qubits and pairs of qubits. Although this method eliminates much of the noise, errors remained. The researchers therefore applied a quantum error mitigation process using conventional computer software. The technique works thanks to the 127-qubit processor’s ability to encode many configurations of the Ising model. Conventional computers would not have sufficient memory to achieve such a feat.
AI Overview
+6
Some recent quantum advancements include:
Quantum computing
Quantum computers could be used to solve problems that are too difficult for classical computers, such as those in supply chain management and logistics. Quantum machine learning could also improve pattern recognition and data analysis.
Fault-tolerant quantum computers
IBM's research suggests that fault-tolerant quantum computers could signal a new era of quantum-centric scientific investigation.
Atomically thin transducers
Assistant professor Yoseob Yoon has discovered a way to create atomically thin transducers that could enable quantum computing at room temperature.
Controlled "wobble" in a single atom
Quantum researchers have caused a controlled "wobble" in the nucleus of a single atom.
New phase of matter
A new phase of matter in 2D has been discovered that defies normal statistical mechanics.
Ultra-rare particle decay process
Scientists have discovered an ultra-rare particle decay process that could open a new path to find physics beyond our understanding.
ScienceDaily
Quantum Physics News - ScienceDaily
Sep. 24, 2024 — Scientists have discovered an ultra-rare particle decay process, opening a new path to find physics beyond our understanding of how the building...
Northeastern Global News
Professor Achieves Major Quantum Computing Breakthrough
Jul 12, 2024 — Assistant professor Yoseob Yoon has discovered a way to create atomically thin transducers that could one day enable quantum computing at room tempe...
ASU News
ASU launches new quantum research collaborative | ASU News
Nov 1, 2022 — Creating a vital quantum-enabled workforce. In addition to fundamental research and technology development, another key aim of the Quantum Collaborat...
ScienceDirect.com
Quantum computing: a new paradigm for ecology
Translation of quantum concepts to practitioners. The gap between quantitative ecologists and practitioners is already wide [41]. Adding a new paradigm to quant...
The Quantum Insider
Future of Quantum Computing: Unlocking the Possibilities
Apr 6, 2023 — Quantum computing could be used to solve optimization problems that are intractable for classical computers, such as those encountered in logistics a...
ScienceDaily
Quantum Computing News - ScienceDaily
Latest Headlines * Quantum Researchers Cause Controlled 'Wobble' in the Nucleus of a Single Atom. ... * Discovery of a New Phase of Matter in 2D Which Defies N...
Forbes
IBM’s Latest Research Paper Signals A New Era Of Quantum Computing Is Here
Jun 14, 2023 — Fault-tolerant quantum computers will signal that a new era of quantum-centric scientific investigation has arrived. And with that new capability wi...
Chemistry LibreTexts
The New Quantum Mechanics - Chemistry LibreTexts
Jun 15, 2023 — The new quantum theory says that tiny particles behave in ways that are totally different from normal objects that we can see, like basketballs or p...
Wiley Online Library
Quantum Neuromorphic Computing with Reservoir Computing Networks - Ghosh - 2021 - Advanced Quantum Technologies
Jul 9, 2021 — Superconducting qubits are one of the most advanced quantum technologies, which are used in many present day quantum computers. Such machines, remote...
Generative AI is experimental. Learn more
AI Overview
+7
IonQ has recently made several developments, including:
Quantum contract award: IonQ received a $54.5 million contract from the United States Air Force Research Lab, which is the largest quantum contract award in the U.S. for 2024.
Partial error correction: IonQ invented a new technique for partial error correction that can reduce errors in Clifford gates. This technique is expected to improve the accuracy of quantum computers and make them closer to commercial use.
Research project with the United States Naval Research Lab: IonQ is working with the Naval Research Lab to use quantum computers to study molecular structures that affect corrosion.
Partnership with the University of Maryland: IonQ and the University of Maryland signed a $9 million partnership to advance quantum computing.
Presentation at Fast Company's 2024 Innovation Festival: IonQ was selected to present at the 2024 Innovation Festival.
Paper presentation at IEEE Quantum Week: IonQ presented a winning paper on quantum networking at IEEE Quantum Week.
Quantum World Congress 2024: IonQ will be taking part in Quantum World Congress 2024.
Yahoo Finance
IonQ, Inc. (IONQ) Latest Stock News & Headlines - Yahoo Finance
IonQ Invents a Novel, Low-Overhead Approach for Partial Quantum Error Correction. COLLEGE PARK, Md., August 07, 2024--IonQ (NYSE: IONQ), a leader in the quantum...
IonQ
IonQ | Trapped Ion Quantum Computing
Direct carbon sequestration. With ~450 algorithmic qubits, ? But not all qubits are equal, and algorithmic qubits are our preferred metric for describing "usefu...
IonQ
IonQ Announces Largest 2024 U.S. Quantum Contract Award of ...
2 days ago — IonQ Announces Largest 2024 U.S. Quantum Contract Award of $54.5M with United States Air Force Research Lab. * IonQ's trailblazing technology has gro...
IonQ
IonQ Newsroom and Media Resources
IonQ Announces Largest 2024 U.S. Quantum Contract Award of $54.5M with United … IonQ Press ReleaseSeptember 26, 2024. News. IonQ Selected to Present at Fast Com...
IonQ
IonQ Invents a Novel, Low-Overhead Approach for Partial Quantum ...
Aug 7, 2024 — IonQ Invents a Novel, Low-Overhead Approach for Partial Quantum Error Correction.
IonQ
IonQ Announces Second Quarter 2024 Financial Results
Aug 7, 2024 — IonQ announced the invention of a new, industry-first partial error correction technique for an important class of quantum gates. The technique, whic...
IonQ - Investor Relations
IonQ Achieves Industry Breakthrough – First Trapped Ion Quantum ...
Sep 12, 2024 — You should carefully consider the foregoing factors and the other risks and uncertainties disclosed in the Company's filings, including but not limi...
Nasdaq
IonQ, Inc. Common Stock (IONQ) News Headlines - Nasdaq
Markets. 1 Growth Stock Down 59% to Buy Right Now. 4 hours ago • The Motley Fool. Markets. Noteworthy Friday Option Activity: IONQ, GLNG, FDX. 20 hours ago • BN...
Reuters
IONQ.N - | Stock Price & Latest News - Reuters
2023. 2022. 2021. Cash from Operating Activities. -78.81. Financing Cash Flow Items. -0.19. Cash from Investing Activities. 68.77. 2023 (millions USD) Cash Flow...
TipRanks
IonQ (IONQ) Stock Forecast, Price Targets and Analysts Predictions
Average Price Target Based on 4 Wall Street analysts offering 12 month price targets for IonQ in the last 3 months. The average price target is $10.63 with a hi...
Generative AI is experimental. Learn more
…
IonQ's current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company's innovative technology and rapid growth were recognized in Fast Company's 2023 Next Big Things in Tech List and Deloitte's 2023 Technology Fast 500™ List, respectively.2 days ago
https://www.afp.com › news › ionq-...
IonQ Announces Largest 2024 U.S. Quantum Contract Award of $54.5M ...
IonQ Achieves Industry Breakthrough – First Trapped Ion Quantum System to Surpass 99.9% Fidelity on Barium.
IonQ surpasses “three 9's” two-qubit gate fidelity, a significant milestone in high-performance, enterprise-grade quantum computing
COLLEGE PARK, MD - September 12, 2024 - IonQ (NYSE: IONQ), a leader in the quantum computing industry, recently announced that it has surpassed “three 9’s” (99.9%) two-qubit gate fidelity on one of its next-generation barium development platforms. This is a crucial step along IonQ’s technical roadmap for developing practical, commercial quantum solutions. This achievement highlights IonQ’s dedication to research and development, and underscores the company’s commitment to bringing to market the highest-performing quantum computers in the world.
The company demonstrated optimized two-qubit gates on barium with greater than 99.9% fidelity in a two-ion chain via the same mechanisms used to realize two-qubit gates in IonQ's production quantum computers. Based on technical improvements developed to achieve this milestone, the company now has a significantly deeper understanding of how to identify and remove error mechanisms in large enterprise-grade quantum systems.
IonQ’s breakthrough achievement brings the company closer to its next-generation commercial system, IonQ Tempo – a barium system designed to drive commercial advantage – and help customers tackle their most complex problems with greater accuracy and efficiency.
“Achieving this level of fidelity is a major milestone in the quantum computing industry, as it marks a critical threshold for enterprise-grade systems – the better the native gate fidelity, the less error correction in all forms that is required. Higher fidelity is also essential for faster, more accurate quantum applications,” said Dean Kassmann, IonQ’s SVP of Engineering and Technology. “This accomplishment validates our long-term approach to barium technology as an enabler of performance, scale, and enterprise-grade systems.”
IonQ has worked with ytterbium ions for most of the company's history and has been exploring barium ions as qubits because they contain intrinsic features that offer the ability to improve quantum computer performance. Compared to traditional ytterbium ions, barium ions offer several key advantages, including a higher native fidelity limit, increased gate speeds, lower state preparation/measurement (SPAM) errors, and better stability as well as superior overall performance. As IonQ makes substantial headway towards reaching commercial advantage, IonQ expects these distinct properties will position its barium systems at the forefront of the quantum computing industry.
IonQ's technical achievements further establish its expertise and commitment to advancing the field of quantum computing. More recently, IonQ proved its novel, low overhead approach for partial quantum error correction - an important step that will enable fast, more accurate quantum applications with near-term computers.
Please visit https://ionq.com/ to learn more about IonQ and its latest system news and business developments.
About IonQ
IonQ, Inc. is a leader in quantum computing that delivers high-performance systems capable of solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company’s innovative technology and rapid growth were recognized in Fast Company’s 2023 Next Big Things in Tech List and Deloitte’s 2023 Technology Fast 500™ List, respectively. Available through all major cloud providers, IonQ is making quantum computing more accessible and impactful than ever before. Learn more at IonQ.com.
Mobil quantum is coming too within a few more years. Everything starting to move and be solved faster and faster as more quantum computers churn out the answers faster and faster and faster daily. What we thought was fast is a thing of the past with quantum. The quantum leap is here and leaping farther and faster every day now. And there is no way to slow it down. I’m afraid the race is on to extinguish our race. 😱😩. How ironic.
Shawn.
Quantum computers generally use less energy for certain types of computations compared to classical computers. This efficiency arises because quantum computers can process complex problems in fewer steps due to their ability to exploit quantum superposition and entanglement. In certain cases, quantum algorithms like Shor’s or Grover’s can solve problems exponentially faster than classical algorithms, thus requiring fewer computational operations and potentially less energy for those tasks.
However, the current state of quantum computers is still in its early stages. The cooling systems required to maintain the quantum states (which often require temperatures near absolute zero) are extremely energy-intensive. As a result, while quantum computers can be computationally efficient for specific tasks, the overall energy consumption of quantum hardware (including cooling and error-correction) is significant.
In summary:
- **For specific tasks**: Quantum computers could use much less energy computationally.
- **In practical terms today**: Their cooling and maintenance systems currently demand a lot of energy, often making them more energy-intensive overall than classical systems.
Me …. Ionq’s trapped ion system does not need the huge super cooling systens. They save space and energy. ChatGPT needs to catch up. Lol
Yep. And some dreams come true. Stay tuned.
It’s quite obvious whoever throws the most money at quantum will control all the data on earth. And whoever controls the most ,if not all of the data, wins. China,Russia N K and others are in the race. Our billionaires boys club out at Kukio would be wise to take note. What about forming a hui? Keeps the antitrust Elizabeth’s and Bernie’s off your back and shuts down America’s adversary’s. Simple. Don’t be greedy guys. Spread the wealth around America to do good things for the people of America and our entire planet. Our adversaries must not control quantum at any cost.
I would actually like to see a bidding war over a hostile takeover or a buyout offer. But any of the above would serve all shareholders very well.
Understood Jack. If a buyout offer is floated. I think we should all agree on half cash and half stock in the acquiring corp. Then it’s a win, win for all shareholders. Cash to live out our lives comfortably and stock to leave our kids etc for them to live comfortably.
QUANTUM IS COMING! Get in .
But you knew that. lol Aloha!🌈😎🐬🐋🤙
I’m with you Jack. All the paid shottie operatives will be showing up tomorrow. All longs need to keep them honest and bury them with facts. Aloha!
Absolutely Jack! I agree 100%. Ionq is in the lead. Look at the caliber of talent on their BoD just for starters. These guys are no charlatans cooking the books as 1 poster here has stated. Shame on him.
Tempo is coming! With nvda Blackwell rollout soon this will be the double play. I look for Jensen to make his move on Ionq before the triple play of Dell , Benioff and Gates do. He sold a bunch for something ? And let’s not forget Elon or Jeff, Mark, Larry, Sam or others etc stepping in to take over hostily Look at yesterday’s vol !!! 10x normal 10 day avg. Will Jensen wait? Or make his move Sen Warren be damned? Stay tuned.
Of course the link won’t work. Lol wonder why Here’s his post
IanFromSI
Re: A deleted message
Friday, 09/27/2024 11:08:27 AM
Today’s contract (IONQ) was for $54 million spread over four years or about $13.5 million annually. …. Not even a rounding error for a day’s sales by Nvidia.
While any contract for IONQ Is an achievement, this is for research being done by the Air Force and may not lead to any future business.
… and is unlikely to result in any actual earnings being realized anytime soon.
FWIW, but GLTY
Ian
Doc. Ot. Hezbollah leader I know nothing. lol.
. Len! Cat got your tongue? What up Brudda? The locals are getting restless I can only support you for so long. You need to address your shareholders. Period.
lol. Sure. Lol. NEXT! Kerflumkbok! Ahhh
IanFromSI
Re: Oleblue post# 13875
Friday, 09/27/2024 12:50:40 AM
From a market cap of $3 trillion to more than $18 trillion in less than six years!!!
I can’t rule it out absolutely, I have a very difficult time believing that will happen in that timeframe.
Might someone other than Nvidia introduce quantum computing into the AI world? Again, unlikely but possible.
When I first started investing (after retirement), the entire market cap of the US market was less than $9 trillion.
lol. Personal attack? You called me a fool in your last post. Fool me once. Shame on you. Fool me twice. Shame on me .
I retired in Kona at 62 ten years ago and have lived here for 47 years. Fool? Lol. Living in Paradise is not a fools game, grasshopper.