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Now this makes no sense at all ????
Virtual Computing Systems, Inc. (VCS) was formed on February 14, 1994. It was initially founded as a provider of advanced, secure communication solutions. Over the years, the company has developed various software products and technologies in the field of messaging and communication systems.
VCS. VIRTUAL COMPUTING SYSTEMS. Well there you have it
Chat GPT is downright spooky. Lol Unbelievable . …once it’s data. No more secrets.
What do ya think Doc?
As of my last update in January 2022, Virtual Communication Systems, Inc. (VCS) holds several patents related to messaging and communication technologies. Some of these patents include:
1. U.S. Patent 6,295,521 - Method and System for Providing Communication Management: This patent relates to organizing and managing electronic messages in a networked environment.
2. U.S. Patent 6,826,744 - System and Method for Managing Information: This patent describes techniques for organizing and accessing information in a computer network environment.
3. U.S. Patent 6,389,629 - System and Method for Managing and Prioritizing Electronic Messages: This patent covers systems and methods for managing and prioritizing electronic messages.
These are just a few examples, and VCS may own additional patents related to its technologies and products. For the most accurate and up-to-date information on VCS's patent portfolio, you may need to consult patent databases or contact the company directly.
And another….
As of my last update in January 2022, Virtual Communication Systems, Inc. (VCS) is a private company, and ownership information may not be publicly available. Private companies are not required to disclose ownership information to the public in the same way that publicly traded companies are. Therefore, unless the company voluntarily discloses this information, it may not be readily accessible. If you need specific information about ownership or have a particular inquiry regarding VCS, it’s best to contact the company directly for accurate details.
And another hmmmmm all these from chat gpt
Vertical Computer Systems, Inc. (VCSY) and Virtual Communication Systems, Inc. are separate companies.
Vertical Computer Systems, Inc. (VCSY) is a software and technology company that develops and markets software applications and online social media platforms.
Virtual Communication Systems, Inc. (VCS) is a different entity that develops secure messaging and communication software solutions, including EmPath.
As far as my last update in January 2022, there hasn't been any information indicating that Vertical Computer Systems, Inc. changed its name to Virtual Computer Systems.
Another hmmmmmmmmm
EmPath is a software product developed by Virtual Communication Systems, Inc. (VCSY). It is a messaging and communication platform that emphasizes privacy and security. EmPath offers features such as end-to-end encryption, secure messaging, and file sharing capabilities. The software is designed to provide organizations with a secure communication solution for their internal and external communications. It's worth noting that information about specific software products may change over time, so for the most accurate and up-to-date information about EmPath, it's advisable to visit VCSY's official website or contact the company directly..
Parallel computing systems refer to architectures and technologies that allow multiple processors or computing units to work together simultaneously to solve a single problem or perform a task. These systems are designed to increase computational speed and efficiency by dividing the workload among multiple processing elements, known as parallelism.
There are various types of parallel computing systems, including:
1. Shared Memory Systems: In these systems, multiple processors share a common memory space. Each processor can access any memory location directly, which simplifies programming but requires mechanisms to manage access conflicts.
2. Distributed Memory Systems: In these systems, each processor has its own memory space, and communication between processors occurs explicitly through message passing. This architecture is more scalable but requires more complex programming models.
3. Hybrid Systems: These systems combine aspects of shared and distributed memory architectures, often using a combination of both shared-memory and message-passing paradigms.
Parallel computing systems are used in various applications, including scientific simulations, data analytics, artificial intelligence, and more. They can range from small-scale multi-core processors in consumer devices to large-scale supercomputers consisting of thousands of processors interconnected by high-speed networks.
Hmmmmm
The 744 and 629 patents likely refer to U.S. Patent 6,826,744 and U.S. Patent 6,389,629, both owned by Virtual Communication Systems, Inc. (VCSY).
- U.S. Patent 6,826,744: This patent covers technology related to organizing and accessing information in a computer network environment. It describes methods and systems for managing electronic messages, such as emails, by categorizing them based on various criteria and providing efficient access to the categorized messages.
- U.S. Patent 6,389,629: This patent relates to systems and methods for managing and prioritizing electronic messages. It describes techniques for automatically prioritizing messages based on factors such as sender identity, message content, and recipient preferences.
VCSY has asserted these patents in legal actions against companies it believes infringe on its intellectual property rights in the field of electronic messaging and communication systems.
Interesting…. Virtual? Doc?
Does chat gpt know something we don’t ?
The 521 patent refers to U.S. Patent 6,295,521, which is owned by Virtual Communication Systems, Inc. (VCSY). This patent relates to technology for managing and organizing electronic messages, particularly in a networked environment. It covers methods and systems for automatically categorizing, prioritizing, and routing electronic messages based on various criteria. VCSY has used this patent to pursue legal action against companies that it believes infringe on its intellectual property rights in this area.
From chat gpt
It seems like you might be referring to Ploinks, a privacy-focused messaging and social networking app. Ploinks emphasizes secure communication and data protection. It allows users to send messages, make calls, and share files with end-to-end encryption to ensure privacy. Is there something specific you'd like to know about Ploinks?
An “arbitrary object framework” typically refers to a software development framework that provides a flexible and dynamic way to work with objects or data structures without rigid constraints or predefined schemas. These frameworks allow developers to create, manipulate, and interact with objects in a more abstract and versatile manner, often useful in situations where the structure or behavior of the objects is not known in advance or needs to be highly adaptable. Examples of such frameworks include dynamic programming languages like Python, or libraries like Boost.Any in C++.
If it’s turned on, we get paid $$$$$. Or we should . Unless uncle d took $ under the table?😱. Again. Sickem Kaitlin. I’m afraid there’s going to be a lot more twists and turns to this story. What a bunch of crooks!
New Samsung Galaxy with AI out today. I wonder if they have it turned on now?
The no arbitration angle is moot as he didn’t bring it up until appeal. Next! He didn’t receive notice of trial. He’s responsible for notifying the court if any change of address. NEXT! Bailiff! Whack his p p !
Makes me wonder if Kaitlin didn’t jump in there and help Pete put the icing on our cake? This clarification definitely strengthens our case. Stick a fork in him Tex. He’s done.
Austin Jayhawk
Executive
View Profile Email Personal Message (Online)
« Reply #265 on: Yesterday at 01:31:56 PM »
Quote[Like]0[Dis-Like]0
Update-Motion from Pete.
https://search.txcourts.gov/Case.aspx?cn=23-0443&coa=cossup.
Scroll down to 2/9
Austin Jayhawk
Executive
View Profile Email Personal Message (Online)
« on: June 17, 2023, 08:38:47 AM »
Quote[Like]0[Dis-Like]2
Looks like Wade is appealing to Supreme Court for review of case.
https://search.txcourts.gov/Case.aspx?cn=05-22-00454-CV&coa=coa05
I seriously doubt any news will break until we hear from the Texas Supreme Court. But who the hell knows anymore????? I’ve given up beating my head against the wall. THUMP! Ouch!
But I would hope and assume our BoD has. been digging into that aspect.
But I would hope and assume our BoD has. been digging into that aspect.
He as ceo would have had to sign off on them. Did he personally gain? Lol. Ya think? Naw. Not dick. Does his conviction invalidate those agreements? I doubt it. Unless it could be proven that he personally gained? Not sure.
No Doc. Wade was tried and convicted of fraud, embezzlement and theft. Period. His trial and appeal has nothing to do with the msft settlement. We gave them a “fully paid up license under the terms of the agreement “. Now what those terms are, we don’t know. But they have nothing to do with Wade’s trial. Or his appeal.
Yep
OpenAI CEO Sam Altman is seeking trillions of dollars in investments to overhaul the global semiconductor industry, The Wall Street Journal reported.
Altman has long talked of the supply-and-demand problem with AI chips — many AI giants want them, but there aren’t enough to go around — and that it limits OpenAI’s growth. He’s considering a project that would increase global chip-building capacity, according to a Thursday evening report in The Wall Street Journal, and is reportedly in talks with different investors, including the government of the United Arab Emirates.
Altman could need to raise between $5 trillion and $7 trillion for the endeavor, The Wall Street Journal reported, citing one source. CNBC could not confirm the number. OpenAI did not respond to a request for comment.
On Wednesday, Altman posted on X that OpenAI believes “the world needs more ai infrastructure--fab capacity, energy, datacenters, etc--than people are currently planning to build.” He added that “building massive-scale AI infrastructure, and a resilient supply chain, is crucial to economic competitiveness” and that OpenAI would try to help.
The news follows some controversy over some of Altman’s previous chip endeavors and investments.
Just before Altman’s brief ouster as CEO of OpenAI, he was reportedly seeking billions for a new and not-yet-formed chip venture code-named “Tigris” to eventually compete with Nvidia, traveling to the Middle East to raise money from investors.
In 2018, Altman personally invested in an AI chip startup called Rain Neuromorphics, based near OpenAI’s San Francisco headquarters, and in 2019, OpenAI signed a letter of intent to spend $51 million on Rain’s chips. In December, the U.S. compelled a Saudi Aramco-backed venture capital firm to sell its shares in Rain.
Nvidia has been the big moneymaker during the past year’s generative AI boom, with its market cap more than tripling in 2023. The company’s graphics processing units, or GPUs, power the large language models created by OpenAI, Alphabet
, Meta
and a growing crop of heavily funded startups all battling for a slice of the generative AI pie.
Nvidia currently controls about 80% of that AI chip market with a current market cap of about $1.72 trillion, not far from overtaking tech giants such as Amazon
and Alphabet in market cap. Altman likely seeks to change that.
In November 2022, when OpenAI’s ChatGPT launched, the company had a limited number of GPUs and capacity, and largely thought of itself as a company that builds tools for developers and businesses, OpenAI COO Brad Lightcap told CNBC last November. When it came to releasing its now-viral ChatGPT bot, Lightcap recalled that Altman was a big proponent of “just trying it,” his thesis being that there was something important and personal about text-based interaction with the models.
The move paid off. ChatGPT broke records at the time as the fastest-growing consumer app in history, and now has more than 100 million weekly active users, along with more than 92% of Fortune 500 companies using the platform, according to OpenAI.
Last November, OpenAI’s board ousted Altman, prompting resignations — or threats of resignations — including an open letter signed by virtually all of OpenAI’s employees, and uproar from investors, including Microsoft. Within a week, Altman was back at the company. Since then, OpenAI has announced a new board, including former Salesforce co-CEO Bret Taylor, former Treasury Secretary Larry Summers and Quora CEO Adam D’Angelo. Microsoft obtained a nonvoting board observer position, and the company still plans to add more seats.
Read more at The Wall Street Journal
There must be a few billion $ for v in there somewhere. Rlght!
Sounds plausible. I guess we’ll see just as soon as the court rules? Or will we? Nothing would surprise me anymore.
Yep. Follow them back with qkd then infect the crap out of them. Or into them. lol
Exciting times ahead.
Doc , yep. I think we’re all in there. Pun intended. lol. MSFT and HP Sam and L G etc were not fighting us for a faster way to change a web page lol. Look what’s coming!
Top 10 most powerful Quantum Computers in the World (2023)
MAKB
26 Aug, 2023
1
Table of content
Quantum computers are a new type of computer that could change many parts of our lives. Quantum Computers use quantum computing instead of classical computing. They can solve problems that normal computers cannot, like breaking secret codes and modeling complex molecules.
Quantum Computer
Disclaimer: The ranking of quantum computers presented here is based on a number of factors, including the number of qubits, the quality of the qubits, the error rate, and the connectivity between the qubits. However, it is important to note that this ranking does not necessarily reflect the real power of these computers. The ability to solve real-world problems with quantum computers is still in its early stages of development, and it is possible that some computers that are not ranked highly in this list may be more powerful for certain applications.
Here is a list of the 10 best quantum computers in the world today. They are ranked by their quantum volume, which measures how powerful they are:
1. USTC Jiuzhang: This quantum computer was built by the University of Science and Technology of China. It has 100 photon qubits and a quantum volume of 10 billion. It is the most powerfulquantum computer today.
Photons are particles of light. Using photons as qubits allows this computer to connect more qubits easily. This gives it the highest quantum volume in the world.
USTC Jiuzhang Quantum Computer project photo
2. Xanadu Borealis: This quantum computer was built by Xanadu. It has 128 qubits and a quantum volume of 10 billion. It is the most powerful photonic quantum computer.
It has more qubits than USTC Jiuzhang, but its qubits are not as stable, so the quantum volume is the same.
3. IonQ Quantum Computer: This quantum computer was built by IonQ. It has 128 qubits and a quantum volume of 4.8 billion. It is the most powerful commercial quantum computer.
It uses trapped ions as qubits which can be very stable and accurate.
4. Rigetti Advantage: This quantum computer was built by Rigetti Computing. It has 128 qubits and a quantum volume of 1.6 billion.
It uses superconducting qubits which can be more stable than photonic qubits. But they are harder to connect to make bigger quantum computers.
5. Intel Horse Ridge II: This quantum computer was built by Intel. It has 400 million spin qubits or 8 superconducting qubits.
It has the most spin qubits of any quantum computer. But spin qubits are weaker than other types.
6. D-Wave Advantage: This quantum computer was built by D-Wave. It has 1,124 qubits and a quantum volume of 100 million. It is the most powerful quantum annealing computer.
Quantum annealing computers are good at solving optimization problems.
7. IBM Eagle: This quantum computer was built by IBM. It will have 127 qubits and a quantum volume of 100 million when released in 2023.
It is expected to be the most powerful quantum computer when it launches.
It uses trapped ions as qubits which can be very stable and accurate.
8. Alibaba Quantum Computer: This quantum computer was built by Alibaba. It has 102 qubits and a quantum volume of 200 million. It is the most powerful quantum computer in China.
It uses superconducting qubits like several others on this list.
9. Microsoft Azure Quantum: This is a cloud platform by Microsoft that lets users access different quantum computers. Azure Quantum has 100+ qubits and a quantum volume of 100 million.
Having access to different quantum computers in the cloud makes this convenient for getting started with quantum computing.
10. Google Sycamore: This quantum computer was built by Google. It has 54 qubits and a quantum volume of 128. It was the first to achieve quantum supremacy.
Quantum supremacy means it solved a problem too hard for normal computers.
Google Quantum Computer
FAQs
How are the top ten quantum computers compared?
The ten best quantum computers are looked at by seeing how many qubits they have, what type of qubits they use, and their purposes.
The number of qubits is important to compare these computers. More qubits mean a stronger quantum computer. It's also important to consider the type of qubits the computer uses. Some qubits are more stable and make fewer mistakes.
Considering the quantum computer's purpose is also significant. Some are designed for specific tasks, like keeping secrets or discovering new medicines. Others have a wide range of uses.
What challenges are involved in creating quantum computers?
Making one of the quantum computers comes with several challenges:
Qubits are fragile and can quickly lose their special quantum properties.
Quantum computers require a method to correct mistakes that occur during calculations.
Increasing the size of quantum computers with more qubits is difficult but crucial.
Finding effective ways to apply quantum computers to real-life tasks is still complicated.
What lies ahead for the future of quantum computers?
The future appears promising for the quantum computers. As technology improves, these computers will become more powerful and reliable. They will tackle even more complex problems. This could lead to significant discoveries in various fields, such as enhancing data security, developing new medicines, and gaining a better understanding of materials.
Computer Science | Physics
Breakthrough in quantum computing with stable room temperature qubits
by Andrey Feldman | Jan 19, 2024
Scientists achieve groundbreaking room-temperature quantum coherence for 100 nanoseconds, propelling molecular qubits closer to practical quantum computing.
Abstract image of physical processes.
Scientists have recently managed to maintain quantum coherence in a molecular qubit for over one hundred nanoseconds at room temperature, hinting at potential breakthroughs in quantum computing.
Quantum computers could revolutionize information technology by changing the paradigm of computing. This is attributed to their basic units, called qubits, which can exist in any combination of states, unlike classical bits constrained to a definite value of 1 or 0. Due to this infinite variety of qubit states, a quantum computer should be able to easily handle computational problems that would take a conventional computer trillions of years to solve.
Scientists have successfully created qubits from particles such as photons, atoms, individual electrons, or even a superconducting loop. However, creating a qubit is one thing, building a working quantum computer out of thousands or even millions of qubits is an entirely different challenge, and attempts thus far have been fraught with substantial difficulties.
For a quantum computer to work, it is necessary to establish and manipulate subtle quantum interactions among multiple qubits — a state known as entanglement. However, for this to work, the qubits themselves need to remain stable or “coherent”, which means keeping it in a well-defined quantum state. The problem is, coherence is difficult to maintain as it easily crumbles when qubits interact with their surroundings — even radiation from space can throw them.
To solve this, a team of Japanese researchers led by Nobuhiro Yanai, associate professor at Kyushu University, has engineered a stable qubit using a special structure called a metal-organic framework. This structure involves combining pentacene molecules (made up of five connected benzene rings) with zirconium ions and organic dicarboxylate ligands. The pentacene molecules act like bridges, linking the ligands and ions together into a framework made up of both organic molecules and metal ions–hence the name.
The role of the qubit was played by a pair of neighboring pentacene molecules, which were coupled and exist within five different quantum states achieved by irradiating the metal-organic framework with various wavelengths of microwave radiation.
The metal-organic framework’s nanoscale voids offer the pentacene molecules a degree of freedom, but ultimately restricts their full movement under the radiation’s influence, ensuring they formed a desired quantum state and remained trapped in it for a significant amount of time.
“The metal-organic framework in this work is a unique system that can densely accumulate [pentacene molecules],” said Yanai in a press release. “Additionally, the nanopores inside the crystal enable [them] to rotate, but at a very restrained angle.”
The most important result of the study was that the team could maintain coherence for more than a hundred nanoseconds at room temperature, whereas previously this could only be achieved in similar systems at incredibly cold temperatures of about -200 degrees Celsius. At such temperatures, it was possible to maintain coherence only in photonic qubits, but in addition to needing such extreme conditions to operate, quantum computers using these photon qubits suffer from photon leakage.
Maintaining cryogenic temperatures is not only expensive but complicates the entire computing setup. Thus, creating a stable qubit that operates at room temperature is an impressive and practical achievement.
Looking ahead, the scientists are optimistic about extending coherence for even longer periods. They believe that by designing improved metal-organic frameworks and identifying more suitable molecules for qubits, they can push the boundaries further.
“It will be possible to generate quintet […] state qubits more efficiently in the future by searching for guest molecules that can induce more such suppressed motions and by developing suitable metal-organic framework structures,” concluded Yanai. “This can open doors to room-temperature molecular quantum computing.”
Reference: Akio Yamauchi et al, Room-temperature quantum coherence of entangled multiexcitons in a metal-organic framework, Science Advances (2024), DOI: 10.1126/sciadv.adi3147
Feature image credit: geralt on Pixabay
Related posts:
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A new deep-learning architecture for drug discovery
How accurate are our models of rotating neutron stars?
New research shows how light propagates in integrated circuits on chips
by Technion - Israel Institute of Technology
New research shows how light propagates in integrated circuits on chips
(a) Schematics of the experimental setup for imaging propagating waves within photonic devices. 1550 nm signal pulses (orange) are grating-coupled into a silicon-on-insulator (SOI) waveguide, while 780 nm pump pulses (red) are focused onto the device using a long-working distance objective. When the two pulses overlap in time and space, a nonlinear wave is generated (green), separated from the pump by a dichroic mirror (DM) and collected by a standard CMOS camera. P, F, and ??/2 represent linear polarizer, spectral filter, and ??/2 wave plate, respectively. (b) Axes definitions and the propagation directions of the pump beam (normal incidence), signal beam (guided along the waveguide), and the nonlinearly generated beam (reflected at an angle according to the wave vector of the signal wave). (c) Cross section of the single waveguide. Credit: Optica (2023). DOI: 10.1364/OPTICA.504397
The field of photonic integrated circuits focuses on the miniaturization of photonic elements and their integration in photonic chips—circuits that carry out a range of calculations using photons, rather than electrons as are used in electronic circuits.
Silicon-based photonics is a developing field that is relevant for data centers, artificial intelligence, quantum computing, and more. It enables an enormous improvement in the chips' performance, and in their cost-benefit ratio as it is based on the very same prevalent raw material from chips in the world of electronics.
However, despite benefiting from the well-developed lithography production process, which enables precise production of the desired devices, the instruments don't yet enable accurate mapping of the chip's optic characteristics. This includes its internal light motion—a crucial capacity given the difficulty to model the effect of fabrication flaws and inaccuracies—due to the devices' tiny dimensions.
A new article by researchers from Technion's Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering tackles this challenge, showing advanced light imaging in photonic circuits on chips. The research, which was published in the journal Optica, was led by Professor Guy Bartal, head of the Laboratory for Advanced Photonic Research, and doctoral student Matan Iluz, in collaboration with Professor Amir Rosenthal's research group. Graduate students Kobi Cohen, Jacob Kheireddine, Yoav Hazan and Shai Tsesses also took part in the research.
A video clip showing light's evolution in real time within the MMI device. Credit: Technion Spokesperson Office
The researchers harnessed the optical characteristics of silicon to map the light's propagation without requiring an invasive action of any sort, which perturbs or alters the chip. This process includes mapping the light waves' electric field and defining the elements that affect the light's movement—waveguides and beam splitters.
The process provides real-time images and video recordings of the light inside the photonic chip, without having to damage the chip and without losing any data. This new process is expected to improve the design, production, and optimization processes of photonic chips in a variety of fields, including telecommunications, high-performance computing, machine learning, measuring distances, medical imaging, sensing, and quantum computing.
Copilot is confused with the two separate cases
Doc. Wrong. He was found guilty of theft,embezzlement and fraud. Where u been? You’re making this way more confusing than it is. This is Wades last ditch effort to be finally found guilty of fraud, embezzlement and theft by the Texas Supreme Court. Or rather to have his appeal of such charges denied. Who knows how long these judges will take to decide, but all 8 are Republicans!
What we have here. Is a failure to communicate. I know our BoD wants to communicate. But they got to get the Texas Supreme Court decision.
Get your systems right. VERTICAL QUANTUM SYSTEMS
So exactly how is this going to benefit V?
Copilot in Edge
Article
12/14/2023
3 contributors
In this article
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Copilot in Edge mobile
Copilot can be accessed in the Microsoft Edge sidebar. You can ask complex questions, find comprehensive answers, get summarized information, and find inspiration—just like you can when using Copilot in Bing. When using Copilot in Edge, you can also ask questions based on the page content or a PDF open in the browser. In the Compose tab, you can generate text, emails, social media posts, or ideas.
Once the Copilot service plan is enabled for a user, Copilot in Edge also supports commercial data protection.
Enable Copilot in Edge
To use Copilot in Edge, the following steps are required:
The Copilot service plan must be turned on and the user must have an eligible license.
The user must sign in to bing.com/chat with their Entra ID (work account).
The user can then access Copilot by clicking on the Copilot icon in the upper right of the Edge browser (Ctrl+Shift+.).
Copilot in Edge features, like Chat and Compose, do support commercial data protection. Eligible Entra ID users see the word 'Protected' at the top of the Copilot experience in the sidebar.
Screenshot that shows Copilot.
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When the user grants permission to share page information, Microsoft Edge sends Copilot the browsing context of a given session, the user's prompt, and previous conversation history. This information helps Copilot to generate a meaningful response.
When commercial data protection is enabled, none of this chat information is retained by Microsoft beyond the duration of the Copilot session.
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Instructions for how to manage Copilot in Edge on Microsoft Edge for iOS and Android can be found here: Manage Microsoft Edge on iOS and Android with Intune.
Copilot in Edge mobile
If the Copilot service plan is enabled for your organization, users can access it with commercial data protection through the Edge mobile app when signed in with their work or school accounts (Entra ID).
Edge mobile includes a dedicated Copilot button as part of its user interface. If you would like to remove the Copilot button from the Edge mobile interface, you can use an Intune MAM policy to remove/add it:
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Dct is the key imo
SHOW US THE MONEY!💰💰💰💰💰💰
Looks like the dicks son is back lol. Give it up Sonny Buy him a nice big fat orange jumpsuit. He’s gonna need it soon.
From chat…
It's there now... Should have been in arbitration.. Wade's the victim; although he was convicted of fraud and embezzlement. Maybe junk can give his interpretation, since he and Pete converse a lot. I didn't feel like reading tonight.
https://search.txcourts.gov/Case.aspx?cn=23-0443&coa=cossup
“CONCLUSION AND PRAYER
Wade is entitled to an opportunity to prepare a defense and have his case heard
on the merits. He was denied that opportunity when the trial court conducted an unauthorized bench trial over his objection. Wade timely objected to not receiving notice of the trial and has shown that the trial court sent his trial notice to the wrong address. The court also had no power to hold a trial on the merits after compelling the parties to arbitration months before. Either of these arguments supports a reversal, and Wade has waived neither.
WHEREFORE, Wade respectfully prays that this Court reverse and remand.”
And it continues…..
Dino
Hopefully today is the day the fat man sings his last song.
NVIDIA CuQuantum 23.10: Accelerating Quantum Computing With Enhanced SDK
Quantum Computing Business, Uncategorized
Matt Swayne
December 22, 2023
NVIDIA cuQuantum
Insider Brief
NVIDIA offered information on its latest update to its cuQuantum software development kit (SDK).
The toolkit ntegrates more seamlessly with NVIDIA Tensor Core GPUs, greatly enhancing the speed of quantum circuit simulations.
cuQuantum is able to accelerate quantum circuit simulations using state vector and tensor network method.
NVIDIA’s latest update to its cuQuantum software development kit (SDK), version 23.10, marks a significant bump in quantum computing capabilities, according to the company’s technical blog.
This toolkit, designed to optimize libraries and tools for quantum computing workflows, now integrates more seamlessly with NVIDIA Tensor Core GPUs, greatly enhancing the speed of quantum circuit simulations.
The core of cuQuantum’s power lies in its ability to accelerate quantum circuit simulations using state vector and tensor network methods. This advancement is not just incremental but is measured in orders of magnitude, offering unprecedented speed and efficiency in quantum computing tasks.
Key highlights of the cuQuantum 23.10 update include significant improvements to NVIDIA’s cuTensorNet and cuStateVec. The new version supports NVIDIA Grace Hopper systems, expanding the range of hardware compatible with cuQuantum. This compatibility ensures that users can leverage the full power of GPU acceleration for their quantum computing workloads.
cuTensorNet, a component of cuQuantum, now offers high-level APIs that simplify quantum simulator development. These APIs allow developers to program intuitively, abstracting complex tensor network knowledge. This simplification is crucial for building tensor-network-based quantum simulators, covering various elements like expectations, measurements, and samples. Performance-wise, cuTensorNet has shown to outperform existing technologies like TensorCircuit, PyTorch, and JAX by a factor of 4-5.9x on NVIDIA H100 GPUs.
The update also introduces experimental support for gradient calculations in quantum machine learning (QML) applications. This feature is set to accelerate QML and adjoint differentiation-based workflows significantly, utilizing cuTensorNet.
Another remarkable advancement is in cuStateVec, which now offers new APIs for host-to-device state vector swap. This development means that CPU memory can be utilized alongside GPUs to scale simulations more effectively. For example, 40 qubit state vector simulations, which previously required 128 NVIDIA H100 80GB GPUs, can now be achieved with just 16 NVIDIA Grace Hopper systems. This reduction not only speeds up computations but also leads to considerable cost and energy savings.
cuQuantum 23.10 also has undergone additional API-level and kernel-level optimizations to boost performance. These improvements make Grace Hopper systems more efficient than other CPU and Hopper systems, offering faster runtimes due to enhanced chip-to-chip interconnects and CPU capabilities.
For those interested in exploring cuQuantum 23.10, NVIDIA provides comprehensive documentation and benchmark suites on GitHub. The company encourages feedback and queries through its GitHub platform, ensuring continuous improvement and support for its user base. With these updates, NVIDIA continues to push the boundaries of quantum computing, making it more accessible and efficient for a broader range of applications.
Here’s a link to help get started.
cuTensorNetGIT HubNVIDIAQuantum Simulator
Matt Swayne
LinkedIn
With A Several-Decades Long Background In Journalism And Communications, Matt Swayne Has Worked As A Science Communicator For An R1 University For More Than 12 Years, Specializing In Translating High Tech And Deep Tech For The General Audience. He Has Served As A Writer, Editor And Analyst At The Quantum Insider Since Its Inception. In Addition To His Service As A Science Communicator, Matt Also Develops Courses To Improve The Media And Communications Skills Of Scientists And Has Taught Courses. Matt@Thequantuminsider.com
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Doc. Don’t we all wish. The way things are moving now ,with AI etc , today’s reply from Wade couldn’t have come soon enough. He has wasted another 3 years of all investors in vcsy’s lives. The Texas court of appeals must end it for all of us investors soon 🙏