Fujitsu develops quantum/HPC hybrid computing technology to optimize solutions for customers Agency: Fujitsu Global

New technology makes next-generation computing more accessible to non-computing experts

Fujitsu Co., Ltd.

Tokyo, November 8, 2022

Fujitsu today announced the development of hybrid quantum/HPC computing technology to optimize customers’ workload choices.New AI-based software is a precursor to future computer workload proxy technology that automatically selects from different next-generation computing platforms (1) According to the calculation time, calculation accuracy, cost and other parameters, provide the optimal solution for the customer’s problem.

The new technology leverages the power of Fujitsu’s world-class 39-qubit quantum simulator and the “FUJITSU Supercomputer PRIMEHPC FX 700” equipped with the same A64FX CPU as the supercomputer Fugaku, to combine and select the optimal calculation method for the customer’s quantum chemistry calculation (2) question. Crucially, the technology allows users without expertise to use quantum simulators and HPC technology to provide efficient solutions to real-world problems.

World-leading advanced computing technology solutions21stone century puzzle

Fujitsu has a long history of developing and delivering world-leading computing technologies such as its development and efforts to integrate the supercomputer Fugaku, next-generation quantum computing, and technologies that bridge the gap between conventional and quantum, such as the Digital Annealer and Quantum Simulator.

To promote the practical development of new quantum algorithms, Fujitsu announced in March 2022 the launch of the world’s fastest quantum simulator and joint research with Fujifilm in the field of materials science (3) and Tokyo Electronics Co., Ltd. (4).

Non-computing experts can easily access next-generation computing technologies

Fujitsu is currently working on the development of Compute Workload Agent – a software technology that uses artificial intelligence to automatically select appropriate resources from advanced computing technologies and solutions, including cloud-based large-scale HPC, quantum computing, Digital Annealer, and quantum simulator solutions. Complex issues for customers.

Fujitsu envisions future computing workload agents to support automation and optimization of computing processing across multiple hardware devices and optimization of computing distribution across different platforms. In this way, computing workload brokers will implement high-speed computing and solutions based on the specific needs of customers.

Figure 1: Image of compute workload proxy

Overview of Quantum/HPC Hybrid Computing Technology

In pursuit of its vision for a computing workload agent, Fujitsu has now developed a quantum/HPC hybrid computing technology for solving quantum chemical problems, enabling computationally-based elucidation of the properties of materials used in drug discovery and new material development. A pioneer in computing workload proxies, this new technology enables high-speed, high-precision computing by automatically optimizing the combination of two types of computers: quantum simulators and HPCs. The features of the new technology are as follows.

Figure 2: Comparison of traditional and newly developed technologies

1. Quantum/HPC algorithm discrimination technology

Algorithms used in quantum chemical calculations require repeated calculations until a highly accurate solution is obtained. Determining whether a quantum or HPC algorithm provides the best solution to a problem as the distance between atoms varies is a daunting challenge for existing technologies. To this end, Fujitsu has developed a solution that determines the exact algorithm for the problem by analyzing how the algorithm converges on the molecule. For problems where classical algorithms do not provide sufficient results, the technique detects specific patterns in the state of convergence until the algorithm computes a solution, allowing the optimal algorithm to be determined by experimentally preprocessing the problem with the HPC algorithm.

2. Computational time estimation techniques

Accurately estimating the convergence of various molecular structures is a complex task in quantum chemical calculations, and it has proven difficult to estimate the time and cost required to obtain high-precision solutions in advance. In response to this problem, Fujitsu built an artificial intelligence model that can estimate the amount of computation, cost and time in advance by using the adaptive artificial intelligence technology independently developed by Fujitsu, and analyzed the relationship between molecular structure, algorithm iterative computation and computation time.

3. Optimal control technology based on time, cost and accuracy

To enable customers to perform calculations at the best cost and time, Fujitsu has developed a technology that optimizes the performance of quantum chemistry calculations. The technology takes into account the computing time and cost estimated by the quantum/HPC algorithm discrimination technology and the computing time estimation technology, as well as the usage of computing resources. In this way, the technology enables users to solve quantum chemical computing problems in a way that best suits their needs, without having to choose from different computing resources themselves.

Figure 3: Overview of Quantum-HPC Hybrid Computing Technology

future plans

Going forward, Fujitsu will validate the technology’s effectiveness and further develop it, with the goal of establishing a new computing workload proxy technology in the field of quantum chemical computing by fiscal 2023. Fujitsu will further continue to develop usable computing platforms by adding services to Fujitsu Computing as a Service (hereinafter referred to as “CaaS”) that can be used by anyone without specialized knowledge. Fujitsu’s service portfolio provides customers with world-leading services through the public cloud. computing technology.

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date: November 8, 2022

City: Tokyo

company: Fujitsu Co., Ltd.

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