Verified Simulation for Large Quantum Systems (VSL-Q)
大型量子系统的验证仿真 (VSL-Q)
基本信息
- 批准号:EP/Y005244/1
- 负责人:
- 金额:$ 79.1万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Programming classical computers has become a popular practice thanks to high-level programming languages and compilers which enable the runningof high-level programs on different computing platforms. For critical applications, we now have verified compilation schemes and certifiedcompilers which ensure the correctness of the compiled executions. This is done by reference to a mathematical model of the high-level code. Inthis project we will establish such a promising trajectory for quantum computing, taking into account the subtle features of quantum computers.This will be achieved by bringing together expertise in software testing and quantum simulation. The results of this research will lead to verified software for quantum computing applications and consequently, to wide-spread and effective exploitation of quantum computing.
编程经典计算机已经成为一种流行的做法,这要归功于高级编程语言和编译器,它们使得高级程序能够在不同的计算平台上运行。对于关键应用程序,我们现在已经验证了编译方案,并认证了编译器,以确保编译执行的正确性。这是通过参考高级代码的数学模型来完成的。在这个项目中,我们将考虑到量子计算机的微妙特征,建立一个如此有希望的量子计算轨迹。这将通过结合软件测试和量子模拟的专业知识实现。这项研究的结果将为量子计算应用提供经过验证的软件,从而使量子计算得到广泛而有效的开发。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
On Specifying for Trustworthiness
- DOI:10.1145/3624699
- 发表时间:2022-06
- 期刊:
- 影响因子:22.7
- 作者:Dhaminda B. Abeywickrama;A. Bennaceur;Greg Chance;Y. Demiris;Anastasia Kordoni;Mark Levine;Luke Moffat-Luke
- 通讯作者:Dhaminda B. Abeywickrama;A. Bennaceur;Greg Chance;Y. Demiris;Anastasia Kordoni;Mark Levine;Luke Moffat-Luke
The Way We Were: Structural Operational Semantics Research in Perspective
- DOI:10.4204/eptcs.387.3
- 发表时间:2023-09
- 期刊:
- 影响因子:0
- 作者:L. Aceto;Pierluigi Crescenzi;A. Ingólfsdóttir;M. Mousavi
- 通讯作者:L. Aceto;Pierluigi Crescenzi;A. Ingólfsdóttir;M. Mousavi
Accelerating Finite State Machine-Based Testing using Reinforcement Learning
使用强化学习加速基于有限状态机的测试
- DOI:10.1109/tse.2024.3358416
- 发表时间:2024
- 期刊:
- 影响因子:7.4
- 作者:Türker U
- 通讯作者:Türker U
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Mohammad Reza Mousavi其他文献
Automated and Efficient Test-Generation for Grid-Based Multiagent Systems
基于网格的多代理系统的自动化、高效的测试生成
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.4
- 作者:
Sina Entekhabi;Wojciech Mostowski;Mohammad Reza Mousavi - 通讯作者:
Mohammad Reza Mousavi
Special issue: software verification and testing
- DOI:
10.1007/s11334-013-0211-1 - 发表时间:
2013-04-30 - 期刊:
- 影响因子:1.100
- 作者:
Mohammad Reza Mousavi;Jun Pang - 通讯作者:
Jun Pang
Towards understanding causality – a retrospective study of using explanations in interactions between a humanoid robot and autistic children
理解因果关系——在人形机器人和自闭症儿童之间的互动中使用解释的回顾性研究
- DOI:
10.1109/ro-man53752.2022.9900660 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Marina Sardà Gou;G. Lakatos;Patrick Holthaus;L. Wood;Mohammad Reza Mousavi;B. Robins;F. Amirabdollahian - 通讯作者:
F. Amirabdollahian
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing
- DOI:
10.1007/s10515-025-00499-4 - 发表时间:
2025-04-09 - 期刊:
- 影响因子:3.100
- 作者:
Qunying Song;Avner Bensoussan;Mohammad Reza Mousavi - 通讯作者:
Mohammad Reza Mousavi
Synchrony and asynchrony in conformance testing
- DOI:
10.1007/s10270-012-0302-8 - 发表时间:
2013-01-25 - 期刊:
- 影响因子:3.200
- 作者:
Neda Noroozi;Ramtin Khosravi;Mohammad Reza Mousavi;Tim A. C. Willemse - 通讯作者:
Tim A. C. Willemse
Mohammad Reza Mousavi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Mohammad Reza Mousavi', 18)}}的其他基金
UKRI Trustworthy Autonomous Systems Node in Verifiability
UKRI 可验证性可信赖自治系统节点
- 批准号:
EP/V026801/2 - 财政年份:2021
- 资助金额:
$ 79.1万 - 项目类别:
Research Grant
UKRI Trustworthy Autonomous Systems Node in Verifiability
UKRI 可验证性可信赖自治系统节点
- 批准号:
EP/V026801/1 - 财政年份:2020
- 资助金额:
$ 79.1万 - 项目类别:
Research Grant
相似国自然基金
Simulation and certification of the ground state of many-body systems on quantum simulators
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
相似海外基金
EAGER: Liutex-based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow
EAGER:基于 Liutex 的湍流大涡模拟子网格模型
- 批准号:
2422573 - 财政年份:2024
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling Graphics Processing Unit Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的图形处理单元性能仿真
- 批准号:
2402804 - 财政年份:2024
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
- 批准号:
2402806 - 财政年份:2024
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
- 批准号:
2402805 - 财政年份:2024
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
CBET-EPSRC: Deep Learning Closure Models for Large-Eddy Simulation of Unsteady Aerodynamics
CBET-EPSRC:用于非定常空气动力学大涡模拟的深度学习收敛模型
- 批准号:
EP/X031640/1 - 财政年份:2023
- 资助金额:
$ 79.1万 - 项目类别:
Research Grant
SBIR Phase I: A hybrid phasor/waveform simulation tool for the accurate and efficient simulation of large electric power systems with high shares of inverter-based resources
SBIR 第一阶段:一种混合相量/波形仿真工具,用于精确高效地仿真具有高份额逆变器资源的大型电力系统
- 批准号:
2321329 - 财政年份:2023
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
Building-Block-Flow Model for Large-Eddy Simulation
用于大涡模拟的积木流模型
- 批准号:
2317254 - 财政年份:2023
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
Large Eddy Simulation in Complex Turbulent Flows with Coarse Resolution
复杂湍流中的粗分辨率大涡模拟
- 批准号:
2321473 - 财政年份:2023
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant
AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System.
AR-CPR:新型增强现实护理点胸外按压反馈系统的改进和大规模基于模拟的测试。
- 批准号:
10643491 - 财政年份:2023
- 资助金额:
$ 79.1万 - 项目类别:
Collaborative Research: Adaptive Gaussian Markov Random Fields for Large-scale Discrete Optimization via Simulation
协作研究:通过仿真实现大规模离散优化的自适应高斯马尔可夫随机场
- 批准号:
2243210 - 财政年份:2022
- 资助金额:
$ 79.1万 - 项目类别:
Standard Grant