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Quantum Enhanced and Verified Exascale Computing - QEVEC

Quantum Enhanced and Verified Exascale Computing - QEVEC
量子增强和验证百亿亿次计算 - QEVEC
批准号:
EP/W00772X/2
负责人:
Vivien Kendon
金额:
$128.39万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
Given the advancing capabilities of computing hardware, we need to develop capabilities to extract its potential fully. This is made challenging by various types of specialist computing hardware, such as GPUs (graphical processing units), or quantum computers. Combining different types of computing hardware most productively to solve complex problems is crucial for the next generation of high performance computing that will attain exascale processing speeds (more than 10^18 operations per second).QEVEC - quantum enhanced and verified exascale computing - contributes to this development by focusing on how to add quantum computers as co-processors to conventional high performance computers (HPC).Early quantum computers will be much smaller -- in terms of the amount of classical data they can process in one go -- than current HPC. But the processing power on that data can be much faster due to their quantum properties of superposition and coherence. The most promising way to use them is thus to accelerate those parts of the computations that are slow for HPC.This requires detailed study of the algorithms, both quantum and classical, which QEVEC will do for two specific applications areas, fluids simulations and materials simulations.Fluids simulations require immense computing power to solve the nonlinear differential equations, often in complex geometries and with mixtures of several fluids with different properties. There are a range of algorithms that can do this, and they can also have wider applications as nonlinear differential equation solvers. Important applications range through weather forecasting, fluid flows in manufacturing processes, plasma simulations for fusion reactors and stars.Materials simulations come directly up against the difficulty of simulating quantum systems with classical computers. Quantum systems have a much larger state space than classical systems, which requires a huge amount of memory on classical computers. A quantum computer is thus a natural choice to try to improve performance. There are already many groups studying variational quantum algorithms for this; QEVEC will focus on more advanced methods for simulating solid solutions (metal alloys and other materials composed of two compounds that individually and when combined adopt the same crystal structure), and the basic electronic structure calculations that underpin all first principles biomolecular, chemical and materials simulations.It is necessary to check all computer calculations at some level, to know how well we can trust them to be correct. Quantum computers need some extra techniques to accomplish this checking, so QEVEC will also develop quantum verification methods for the fluids and materials simulations applications.To ensure the results from the research carried out by the QEVEC team are widely available for the scientific computing community to benefit from, QEVEC will engage widely with other ExCALIBUR project teams to share their knowledge, and learn from the other projects.
期刊论文(6)
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会议论文
DOI: 10.1016/j.cpc.2023.108909
发表时间: 2020-06
期刊: Comput. Phys. Commun.
影响因子: --
作者: [Rhonda Au-Yeung;A.J.M. Williams;V. Kendon;S. Lind]
通讯作者: Rhonda Au-Yeung;A.J.M. Williams;V. Kendon;S. Lind
Partition-function estimation: Quantum and quantum-inspired algorithms
配分函数估计:量子和量子启发算法
DOI: 10.1103/physreva.107.012421
发表时间: 2023
期刊: Physical Review A
影响因子: 2.9
作者: [Jackson A]
通讯作者: Jackson A
Quantum computing and materials science: A practical guide to applying quantum annealing to the configurational analysis of materials
量子计算和材料科学:将量子退火应用于材料构型分析的实用指南
DOI: 10.1063/5.0151346
发表时间: 2023
期刊: Journal of Applied Physics
影响因子: 3.2
作者: [Camino B]
通讯作者: Camino B
Partition Function Estimation: Quantum and Quantum-Inspired Algorithms
配分函数估计:量子和量子启发算法
DOI: 10.48550/arxiv.2208.00930
发表时间: 2022
期刊:
影响因子: --
作者: [Jackson A]
通讯作者: Jackson A
Quantum Enhanced and Verified Exascale Computing - QEVEC
  • 批准号:
    EP/W00772X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $129.45万
  • 财政年份:
    2021
  • 负责人:
    Vivien Kendon
  • 依托单位:
CCP-QC: Collaborative Computational Project - Quantum Computinge-
  • 批准号:
    EP/T026715/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $17.85万
  • 财政年份:
    2021
  • 负责人:
    Vivien Kendon
  • 依托单位:
CCP-QC: Collaborative Computational Project - Quantum Computinge-
  • 批准号:
    EP/T026715/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $20.82万
  • 财政年份:
    2020
  • 负责人:
    Vivien Kendon
  • 依托单位:
Hybrid quantum and classical computation: exploiting the best of both paradigms
  • 批准号:
    EP/L022303/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $133.5万
  • 财政年份:
    2014
  • 负责人:
    Vivien Kendon
  • 依托单位:
海外基金