QCI Announces Ready-to-Run Quantum Optimization on AWS

April 13, 2021

LEESBURG, Va., April 13, 2021 — Quantum Computing Inc. (QCI) today announced that QCI’s Qatalyst constrained optimization is now available as a Software as a Service (SaaS) on Amazon Web Services, Inc. (AWS), for both classical and quantum computers. The SaaS service eliminates the need for complex quantum programming. It empowers subject matter experts (SMEs) to submit their complex optimization problems to Qatalyst, which leverages the power of quantum-ready computational software on classical processors to provide solutions. Users can also submit smaller problems to a variety of quantum processing units (QPUs) via Amazon Braket, using the exact same API with no quantum expertise required. As QPUs scale to support production usage, SMEs can submit the exact same problem to Qatalyst for hybrid classical/quantum or pure quantum processing.

Qatalyst SaaS gives users straightforward access to the software and hardware needed to drive computational results. Users or workflows simply employ one of the Qatalyst API’s six calls to submit today’s problems, with no new programming or changes to the problems. The service offers:

  • Seamless access to Qatalyst constrained optimization, running on classical or quantum computing resources.
  • Submission of today’s constrained optimization problems, eliminating the need to create complex new quantum programs that drives high cost, risk and complexity.
  • Access to a variety of quantum hardware through Amazon Braket, helping users avoid quantum hardware provider lock-in.
  • Improved performance, accuracy and a diversity of results to drive more informed business decisions compared with alternative quantum-ready and classical constrained optimization solutions.

QCI is working closely with AWS technology to ensure that Qatalyst delivers the best possible experience for classical users and workflows as they leverage quantum techniques and resources. Today, the Qatalyst SaaS service delivers quantum-ready constrained optimization, accelerating and improving the accuracy and diversity of results on classical systems. It can accept constrained optimization problems, as well as graph models, for computation. It also includes seamless access to QPUs via Amazon Braket, including D-Wave, IonQ, and Rigetti.

“We’re leveraging the power of AWS for both CPU and QPU resources to make quantum computing available on-demand via the cloud, without expensive, lengthy, trial-and-error programming,” said Robert Liscouski, CEO of QCI. “Pairing Qatalyst with AWS empowers enterprises with a practical and scalable approach for exploring the value of quantum computing. Customers get the benefits of the cloud for solving today’s problems with classical approaches, as well as simplified access to quantum computers to prepare for the future – with no risk, no programming, just better results.”

Today’s QPUs are not yet sufficiently scalable to solve large computations. Users can run smaller subsets of problems today, while waiting for the hardware scale that’s needed for larger solutions. As a quantum-ready SaaS service, Qatalyst acts as a seamless bridge between classical and quantum computing.

Amazon Braket is a fully managed quantum computing service that helps researchers and developers get started with the technology to accelerate research and discovery.

“Amazon Braket provides easy access to different quantum computing technologies,” said Richard Moulds, General Manager, Amazon Braket, AWS. “Services like QCI’s Qatalyst are important in making quantum computing accessible to a broader audience and helping customers explore how to combine classical and quantum computation. We are pleased to support the QCI team in delivering innovative solutions that build on Amazon Braket.”

QCI’s QikStart program, which was launched in February, offers quantum expertise, as well as access to AWS’s classical and quantum computing resources. It helps selected participants accelerate the adoption of quantum computing towards solving mission-critical problems for business. Participants also gain access to the Qatalyst quantum application accelerator, hardware, expert resources, and funding to explore and push the boundaries of quantum computing for delivering practical business results.

To learn more about QCI, visit www.quantumcomputinginc.com

About Quantum Computing Inc.

Quantum Computing Inc. (OTCQB: QUBT) (QCI) is focused on accelerating the value of quantum computing for real-world business solutions. The company has developed the first software to bridge the power of classical and quantum computing, hiding complexity and empowering SMEs to solve complex computational problems today. QCI’s expert team in finance, computing, security, mathematics and physics has over a century of experience with complex technologies; from leading edge supercomputing innovations, to massively parallel programming, to the security that protects nations. For more information about QCI, visit www.quantumcomputinginc.com.


Source: Quantum Computing Inc.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire