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Better battery materials
With ~250 algorithmic qubits, ?we could help extend the range and usefulness of electric vehicles.
Learn more about our roadmap
Improved drug discovery
With ~1,000 algorithmic qubits, ?we could help revolutionize the pharmaceutical industry.
Learn more about our roadmap
Quantum machine learning
With ~40 physical qubits, ?we could help begin making smarter robots, homes, cars, and more.
Learn more about our roadmap
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Soon Quantum will overtake AI in the financial and other news. A I needs Quantum computing to move forward. Any Corp with the word Quantum in it will soon be as hot as a firecracker. Remember where you heard it first Aloha!😎🤙🌈
Like I said. Nvda is all over quantum. It will be much bigger than AI as quantum incorporates AI and machine learning and large language models , and with cudaQ hybrid systems Quantum will be bringing new medicine to mkt much much faster and even curing some diseases all together. Classical bits can be a 1 or a 0. Quantum bits can be a 1 and a 0 at the same TIME! The speed they have over classical computers is mind blowing. What would take Watson decades to figure out a quantum computer will solve it in minutes. Exciting times ahead and nvda IBM , Msft, Dell , Amazon, Meta and ionQ and many others are in on it.
NVIDIA CUDA-Q
The high-performance platform for hybrid quantum-classical computing
To do algorithm research and build applications for future quantum advantages, a bridging technology is needed to enable dynamic workflows across disparate system architectures. With a unified and open programming model, NVIDIA CUDA-Q is an open-source platform for integrating and programming quantum processing units (QPUs), GPUs, and CPUs in one system. CUDA-Q enables GPU-accelerated system scalability and performance across heterogeneous QPU, CPU, GPU, and emulated quantum system elements.
Get Started
CUDA-Q¶
Welcome to the CUDA-Q documentation page!
CUDA-Q streamlines hybrid application development and promotes productivity and scalability in quantum computing. It offers a unified programming model designed for a hybrid setting—that is, CPUs, GPUs, and QPUs working together. CUDA-Q contains support for programming in Python and in C++.
You are browsing the documentation for latest version of CUDA-Q. You can find documentation for all released versions here.
CUDA-Q is a programming model and toolchain for using quantum acceleration in heterogeneous computing architectures available in C++ and Python.
Quantum Computing.
Over the past 12 months, Quantum Computing stocks have seen an unprecedented explosion in value and trading activity.
FormFactor, a company pioneering chip testing in the Quantum Space, saw their stock surge over 100% (2X!) over the past year.
Chipmaking Giant NVIDIA can credit the Quantum Computing boom for a portion of their recent 262% surge.
And Quantum hardware darling IONQ saw their stock surge as much as 274% in 2023.
The Quantum Computing revolution is here.
And many in the know investors and technology leaders believe this is just the beginning.
They’re putting their money where their mouth is too!
In 2022, worldwide investment in Quantum Computing companies reached 2.35 Billion…the highest ever.
The US government recently committed $1.8 Billion to investing in quantum computing initiatives.
And The Chinese government is going all-in with a massive $15.3 Billion investment in Quantum.
NVDA has 2 quantum computers hooked together and will soon be announcing a third one . Many advances in quantum computing are happening very quickly now. Such as hybrid quantum computers being developed by nvda and H P. I would not want to be on the sidelines when this news breaks.
Anyway nvda is deeply involved in all this. Just go to ionq.com and read up.
Follow along
One Qubit, Or One Hundred
We don’t stop at one ion; that wouldn’t make a very useful quantum processor. We can (and do!) load any number of ions into a linear chain.
This on-demand reconfigurability allows us to theoretically create anything from a one-qubit system to a 100+ qubit system without having to fabricate a new chip or change the underlying hardware. To date, we’ve run single-qubit gates on a 79 ion chain, and complex algorithms on chains of up to 35+ ions
More homework. Lol
Trapping An Ion
Once we've turned our atom into an ion, we use a specialized chip called a linear ion trap to hold it precisely in 3D space. This small trap features around 100 tiny electrodes precisely designed, lithographed, and controlled to produce electromagnetic forces that hold our ions in place, isolated from the environment to minimize environmental noise and decoherence.
Another advancement.
The Atom: Nature’s Qubit
The most important part of any quantum computer are its quantum bits, or qubits. IonQ’s qubits are ionized ytterbium atoms, a silvery rare-earth metal. Each ytterbium atom is perfectly identical to every other ytterbium atom in the universe.
Moreover, once prepared in a particular stable quantum state, they can remain in that state for very long periods of time — they're so consistent they're used in one of the most accurate atomic clocks ever built.
Super cooled problem solved. Like I said. Ionq has made a ton of adjustments lately.
Atoms make better quantum computers.
At its core, a quantum computer is a machine that uses a quantum system, like the spin of an electron, to do a very specific type of math.
This math takes advantage of the uniquely complex behavior of quantum systems, namely entanglement and superposition, to perform calculations that are fundamentally unlike the calculations ordinary computers based on classical physics can perform. Once quantum computers are powerful and stable enough, their unique computational power will solve world-changing problems that are beyond the capabilities of even the largest supercomputers.
Many quantum hardware developers use "synthetic" quantum systems for their quantum bits (qubits for short), like loops of supercooled superconducting wire, intentional imperfections in crystalline silicon, or other designs carefully coaxed to behave as quantum systems. At IonQ, we take a different approach. We use a naturally occurring quantum system: individual atoms.
These atoms are the heart of our quantum processing units. We trap them in 3D space, and then use lasers to do everything from initial preparation to final readout. It requires counterintuitive physics, precision optical and mechanical engineering, and fine-grained firmware control over a variety of components, but the superior results speak for themselves.
Read on to understand exactly how our trapped ion quantum cores work, and why they’re the most promising platform for quantum computing in development today.
Here ya go !
Meet Our Newest And Most Powerful Quantum Computers
Our latest systems are built for performance and practicality, enabling partners to solve their largest and most complex real-world business problems.
IonQ Aria
Our universally accessible, high-performing flagship quantum system
Learn More
IonQ Forte
Our highest performing, commercially available quantum system
Learn More
IonQ Forte Enterprise
(Expected in
2024)
Our rack mounted, on-prem system for production readiness and hybrid
Learn More
IonQ Tempo
(Expected in
2025)
Our commercial advantage capable computer for production applications
Learn More
image of IonQ Quantum Computer
Trapped ion technology
Powered By Atoms
Our quantum cores use nature's qubits: atomic ions. Identical, perfectly isolated, and naturally quantum, ions provide unparalleled performance.
Learn more about our technology
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On the cloud
A Quantum Cloud Made For Developers
Forget translating your work into yet another quantum SDK. IonQ works with all of the most popular cloud providers, libraries and tools. Just sign in and get to work.
Learn more about The IonQ Quantum Cloud
Both of your concerns have already been resolved. Go to ionq.com and read up. A lot has happened in just the last few months. Are you familiar with the development of CudaQ? If not. Read up. Knowledge is power.
I’d also watch for a buyout or hostile takeover of IONQ by Nvda, or Dell, Msft etc etc. Bill Gates , Michael Dell and Marc Benioff are all investors in IONQ
Yep. I see a bounce to 180. once everyone is hip to their quantum advantage. Pun intended. Einstein called it Spooky. Read Quantum Supremacy by Michio Kaku. A very good read. You don’t need to be a quantum physicist to understand him, and I’m sure you’ll be buying more Nvda and IONQ after you read it. I own both stocks for the long haul. Crooks triggering stop losses oughta be against the law along with publishing negative b s from hearsay. Educate yourself and be confidant. The future is bright for both stocks.
I heard you guys talking about quantum computing and how it’s decades away etc etc. Don’t you know about cudaQ? Or IonQ ? IonQ has built the first dedicated quantum computer factory in Maryland. It’s 100k sq. Ft. Quantum computers are here in use today as we speak by IonQ IBM AMAZON MSFT CHINA and others all over the world. A I coupled with quantum is happening now. CudaQ is a hybrid quantum / classical computer in use now by Nvda and HP. IonQ quantum computers will have a 1,000 qbit computer by 2026 that will be capable of cracking any password on any computer. Go to IonQ.com and read up. The future is here folks. NVDA is poised to be a leader in everything Quantum soon. Months away not years. Watch as the word “ Quantum “ replaces AI as the new buzzword . Quantum will be all over the news soon. Stay tuned.
I don’t th so? But I can’t remember. CRS
Next! Stick a fork in her. She’s done. Sorry Len. You’re on the wrong radical left lunatic Sad
Kamala ? Lol. Radical California bitch. No bail? Really? Neo marxist. Good luck bitch
They’re a bunch of crooks. Any questions?
Memory
close
Revolutionary Memory
Beyond Memory
Next Generation Computing
In today’s computing environment, higher memory bandwidth and capacity are becoming ever more important for system scaling. In the current memory-centric system era, the boundaries between compute and memory are becoming more blurred. We believe this presents an opportunity for new memory-compute options that may bring value to compute and memory simultaneously. At SK hynix, we are tackling many key challenges in order to move toward a “beyond-memory era”.
In particular, we believe that emerging memory may be important for the path beyond memory by blurring the lines between compute and memory. We are evaluating this option since ACiM cells have many commonalities with known memory cells while its unique optimization such as variation and linearity exists. We have successfully demonstrated 16 levels of RRAM-based Synapse cells platform with good set/reset characteristics which are embedded in a CMOS technology. Through SK hynix's Open Research Platform(ORP), ACiM technology opens the possibility of collaboration with various partners.
new-memory
New Memory
DRAM and NAND that are currently in the market use electrical charges to perform programming and reading operations. The physics of these devices has been well-established and their commercialization required decades of research and development effort. In contrast, new memory devices perform programming and reading operations using current, where applying current changes resistance in the memory. We expect NM to bridge the gaps between DRAM and NAND in terms of performance, latency, and cost.
Our R&D activities in the new memory area focus on using SOM(Selector-Only Memory) materials and developing integration processes to achieve better performance, reliability, cost, and scalability than those in conventional 3D cross-point memory(3DXP).
acim
ACiM
With the recent rapid growth of large language models (LLM) such as GPT, the computational cost of training the Transformer model has expanded at unprecedented rate. In-memory computing has been of great interest for the applications of AI accelerators. Naturally NVM arrays in cross-point architectures have been extensively studied for analog-compute-in-memory(ACiM), due to its high energy efficiency via minimizing data movement.
We are researching NVM-based ACiM cells platform, embedded in a CMOS technology and we look forward to the possibility of collaboration with various R&D partners. Through SK hynix's Open Research Platform(ORP).
Related Works
[Summary] Modeling and Demonstration for Multi-level Weight Conductance in Computational FeFET Memory Cell
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[Summary] Modeling and Demonstration for Multi-level Weight Conductance in Computational FeFET Memory Cell
Recently, analog computation-in-memory (A-CiM) has been studied to improve energy efficiency of artificial intelligent (AI) computing. Since emerging non-volatile memories can offer analog dot-product in memory cell arrays, they can reduce data movements between AI accelerators and memories, improving energy efficiency of analog computations. As one of the potential candidates, HfO2-based ferroelectric field-effect transistors (FeFETs) have been studied as a synaptic cell for A-CiM applications, due to their high speed operation, CMOS compatibility, and scalability. In this study, we developed a simulation framework for FeFET synapses by...
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FPGA-based Binary-Neural Network Training Acceleration with Minimized Off-Chip Memory Access
Sep
HP, Hynix To Collaborate On Memristor Memory Technology
Resistive Random Access Memory, or ReRAM, is non-volatile memory with lower power consumption and much greater storage capacity than the Flash memory used in mobile phones and MP3 players today.
Picture of Antone Gonsalves
Antone Gonsalves, Contributor
September 1, 2010
2 Min Read
HP, Hynix Semiconductor ReRAM
HP, Hynix Semiconductor ReRAM
(click image for larger view)
HP, Hynix Semiconductor ReRAM
Hewlett-Packard has partnered with Hynix Semiconductor in developing and manufacturing a new form of computer memory. The joint development agreement announced Tuesday has the two companies working together to bring an HP-developed memristor to market in the form of a future memory product called Resistive Random Access Memory, or ReRAM. A memristor is a circuit element within the memory chip.
The ReRAM is non-volatile memory with lower power consumption and much greater storage capacity than the Flash memory used in mobile phones and MP3 players today. The technology also has the potential of becoming a replacement for hard drives and DRAM system memory used in computers today. ReRAM's potential benefits are due to the use of memristors, which stands for memory resistor, which use even less energy and are faster than current solid-state drives, HP said. Researchers in 1971 identified the memristor as the fourth basic circuit element. HP Labs announced this year that it had discovered that memristors could perform logic, as well as store data.
The discovery is important because future memristor-based devices could change the standard paradigm in computing of having a CPU, or central processing unit, handle computation. Instead, memristors may make it possible to perform logic in chips where data is stored, making systems much faster and power efficient.
"The memristor has storage capacity abilities many times greater than what competing technologies offer," S.W. Park, executive VP and chief technology officer of Hynix, said in a statement.
Under the development agreement, Hynix, a major supplier of memory, will implement HP's memristor technology in its research and development fabrication plant. HP has designed a new architecture within which multiple layers of memristor memory can be stacked on top of each other in a single chip. As a result, the company believes devices incorporating memristor-based chips could hit the market in five years.
Such devices would include handheld gadgets offering 10 times greater embedded memory than exists today. In addition, supercomputers could be made "dramatically faster" than what's predicted in Moore's law. Moore's law, named for Intel co-founder Gordon E. Moore, states that the number of transistors placed on an integrated circuit doubles about every two years. The trend has led to dramatic increases in performance at lower energy consumption in each new generation of microprocessors.
As does L G and Samsung.
If you're wondering is Bill Gates invested in IonQ? Yes, he is, and so too is Salesforce CEO, Mark Benioff, as well as Dell founder, Michael Dell Go V!
Ionq is working on photonic connectivity to hook up 10 100 qbit qpu’s by 2026 Exciting times for sure. 1,000 qbits will be able to crack any password.😱
Just watched Ionq’s latest webinar on their web site ( go there read and watch everything). They mentioned an office and or data centers in Canada now along with Maryland , Seattle and Switzerland? I think it was, but they are expanding fast. 100,000sq ft mfg facility. First dedicated quantum computer factory. I bet Mark , Jeff , Elon, Jenshun and the like are licking their chops. Lol. I hope ionq has a poison pill. If Now Solutions does something with them that would be a hoot! Icing on our cake. Ionq 8.11. Nvda 115.90. Vcsy 00.00. IonQ has 211,454,930 shares outstanding. Not really that many. Maybe ionq will license emPath ?
Blast from the past. 7/2023
arbitrary objects and granularity , with the precision of same determined by admin?
univ of minn cryo em lab uses nvidia machines their pages say. ai is math /statistical of non prime numbers, so they need floating point support. arbitrary objects as the floating point might vary a bit due to the dynamic nature of the objects...em, gravity, heat, altitude, etc.
elon's spaceX reusable rocket boosters? as granular as need to ensure 99.999 safety and achievement of goals? plus a safety margin?
While waiting on V. All aboard Ionq These guys are the future. I see a hostile takeover or a buyout offer coming soon. What ya think Doc? Tired of waiting on V. If we’re to believe Len. Now Solutions is all there is. It could be something someday. Who knows? Time waits for no one. I could always sell Ionq and Nvda and by v if it’s taking off. Just tired and worn out waiting and waiting with very little to no help from our BoD But it’s all good. I’m happy with my positions now. In a few years I think I ll be even happier.
What are you smoking tonight?
How did u calculate 33 ?
My Schwab accounts now show loss as .02. I just noticed that too. Maybe we open at .02 ?
Doc. You make my brain hurt. Gotta rest. Lol
Nvda mentioned the semantics and M L several times. Visions of … A Laughing Place. Mahalo Port!
NVDA is definitely on to something big. Much bigger than just chips that power AI, Quantum, hybrid computers and cudaQ. They are thinking way out front. Exciting times ahead.
Common thinking biases? Lol. Or arbitrary? Take your pick. Our patents do.
Doc. Dig into this.
Arbitrary Inference
Arbitrary inference is one of the earliest and broadest cognitive disotortions described in CBT. Beck defines it as "the process of forming an interpretation of a situation, event, or experience when there is no factual evidence to support the conclusion or when the conclusion is contrary to the evidence". The Arbitrary Inference information handout forms part of the cognitive distortions series, designed to help clients and therapists to work more effectively with common thinking biases.
744 in a nut shell ? Arbitrary object inference. Semantics mentioned many times along with machine learning in nvda press release. Ports early laughing place teachings?
Exactly. Now solutions for audit then independent verification
I have Schwab. Where? How ? Did u c this?
Wade… lol