Fujitsu Develops Quantum/HPC Hybrid Computing Tech

November 8, 2022

TOKYO, Nov. 8, 2022 — Fujitsu today announced the development of quantum/HPC hybrid computing technology to optimize workload selection for customers. The new AI-based software, which serves as a precursor to a future computer workload broker technology, automatically selects from different next-generation computing platforms to offer the optimal solution to customers’ problems based on parameters including calculation time, calculation accuracy, and costs.

Figure 1: Image of the computing workload broker

The new technology leverages the power of Fujitsu’s world top-class 39-qubit quantum simulator and the “FUJITSU Supercomputer PRIMEHPC FX 700,” equipped with the same A64FX CPU that powers supercomputer Fugaku, combining and selecting the optimum calculation method for customers’ quantum chemical calculation problems. Crucially, the technology allows users without specialized knowledge to use quantum simulators and HPC technology to provide effective solutions to real-world problems.

World-leading Advanced Computing Technologies for Solutions to 21st Century Problems

Fujitsu has a long track record in developing and providing world-leading computing technologies, exemplified by its development and efforts to commercialize the supercomputer Fugaku, next-generation quantum computing, as well as technologies that bridge the gap between conventional and quantum, like the Digital Annealer and quantum simulators.

To promote the practical development of new quantum algorithms, Fujitsu announced the world’s fastest quantum simulator in March 2022, initiating joint research in the field of materials science with Fujifilm Corporation and Tokyo Electron Ltd.

Easy Access to Next-Gen Computing Tech for Non-computing Experts

Fujitsu is currently working to develop a computing workload broker—a software technology that uses AI to automatically select the appropriate resources from advanced computing technologies and solutions, including large-scale cloud-based HPC, quantum computing, Digital Annealer, as well as quantum simulators to solve customers’ complex problems.
Fujitsu envisions the future computing workload broker as supporting both the automation and the optimization of calculation processing of multiple hardware devices and the optimization of calculation distribution for different platforms. In this way, the computing workload broker will enable high-speed calculations and solutions according to customers’ specific needs.

Figure 2: Comparison of conventional technology and newly developed technology

Outline Quantum /HPC Hybrid Computing Technology

To realize its vision for the computing workload broker, Fujitsu has now developed a quantum/HPC hybrid calculation technology for solving quantum chemical problems to enable calculation-based clarification of the properties of materials used in drug discovery and new material development. The new technology, which serves as a precursor to the computing workload broker, enables high precision calculations at high speed by automatically and optimally combining two types of computers: a quantum simulator and HPC. The features of the new technology are as follows.

  1. Quantum/HPC algorithm discrimination technology — Algorithms used in quantum chemical calculations require repeated calculations until a highly accurate solution is obtained. As the distance between atoms changes, determining whether quantum or HPC algorithms offer the optimal solution to a problem represents a difficult challenge for existing technologies. To this end, Fujitsu developed a solution to determine the accurate algorithm for a problem by analyzing how the algorithm converges on molecules. For problems where classical algorithms do not deliver sufficient results, the technology detects a specific pattern in the convergence state until the algorithm calculates a solution, so that the optimum algorithm can be determined by performing pre-processing on the problem experimentally using HPC algorithms.
  2. Computation time estimation technology — Accurate estimation of the convergence of the various molecular structures represented a complex task in quantum chemical calculations, and it proved difficult to estimate the time and cost required to obtain highly accurate solutions in advance. To address this issue, Fujitsu constructed an AI model able to estimate calculation amounts, costs and time in advance by utilizing an adaptive AI technology developed by Fujitsu to analyze the relationship between the molecular structure, the iterative calculation of the algorithm and the calculation time.
  3. Optimal control technology based on time, cost and accuracy — In order to enable customers to perform calculations at optimal costs and in optimal time, Fujitsu developed a technology that optimizes the performance of quantum chemical calculations. The technology takes into account both the calculation time and cost estimated by the quantum/HPC algorithm discrimination technology and the computation time estimation technology as well as the usage of calculation resources. In this way, the technology enables users to solve quantum chemical calculation problems in a way that best meets their needs without the need to choose from different computational resources themselves.

Future Plans

Moving forward, Fujitsu will verify the effectiveness of this technology and further develop it, with the aim of establishing a new computing workload broker technology in the field of quantum chemical calculations by fiscal 2023. Fujitsu will further continue to develop computing platforms that can be used by anyone without the need for expertise by adding services to Fujitsu Computing as a Service (hereinafter “CaaS”), Fujitsu’s service portfolio to deliver customers access to world-leading computing technologies via the public cloud.

Figure 3: Overview of quantum-HPC hybrid computing technology

About Fujitsu

Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$32 billion) for the fiscal year ended March 31, 2022 and remains the top digital services company in Japan by market share.


Source: Fujitsu

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!

Quantum Companies D-Wave and Rigetti Again Face Stock Delisting

October 4, 2024

Both D-Wave (NYSE: QBTS) and Rigetti (Nasdaq: RGTI) are again facing stock delisting. This is a third time for D-Wave, which issued a press release today following notification by the SEC. Rigetti was notified of delisti Read more…

Alps Scientific Symposium Highlights AI’s Role in Tackling Science’s Biggest Challenges

October 4, 2024

ETH Zürich recently celebrated the launch of the AI-optimized “Alps” supercomputer with a scientific symposium focused on the future possibilities of scientific AI thanks to increased compute power and a flexible ar Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvidia GPUs). Recently, MLCommons introduced the results of its Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever physical processor they want, without making code changes, the Read more…

IBM Quantum Summit Evolves into Developer Conference

October 2, 2024

Instead of its usual quantum summit this year, IBM will hold its first IBM Quantum Developer Conference which the company is calling, “an exclusive, first-of-its-kind.” It’s planned as an in-person conference at th Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed that the company will release Falcon Shores as a GPU. The com Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvi Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever ph Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

How GenAI Will Impact Jobs In the Real World

September 30, 2024

There’s been a lot of fear, uncertainty, and doubt (FUD) about the potential for generative AI to take people’s jobs. The capability of large language model Read more…

IBM and NASA Launch Open-Source AI Model for Advanced Climate and Weather Research

September 25, 2024

IBM and NASA have developed a new AI foundation model for a wide range of climate and weather applications, with contributions from the Department of Energy’s Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Building the Quantum Economy — Chicago Style

September 24, 2024

Will there be regional winner in the global quantum economy sweepstakes? With visions of Silicon Valley’s iconic success in electronics and Boston/Cambridge� Read more…

How GPUs Are Embedded in the HPC Landscape

September 23, 2024

Grasping the basics of Graphics Processing Unit (GPU) architecture is crucial for understanding how these powerful processors function, particularly in high-per Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

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…

Leading Solution Providers

Contributors

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire