QuantAlgo: Quantum algorithms and applications
QuantAlgo: Quantum algorithms and applications
批准号:
EP/R043957/1
负责人:
Ashley Montanaro
金额:
$59.7万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
在20世纪,信息技术的发展不仅对科学,而且对整个社会都产生了巨大的影响。这场史无前例的革命表明,需要提高数据处理的速度和效率,以及努力实现更好的安全和隐私。当前信息处理模型的一个终极限制是,它们假定物理的简化表示,依赖于经典力学。量子信息技术承诺通过实现物理定律所允许的最高安全和效率来打破这一障碍,从而导致一场新的信息技术革命,其形式是由经典和量子计算设备组成的大规模网络,能够高效和安全地利用量子资源来通信和处理海量数据。尽管实验稳步取得进展,但我们距离这一长期愿景还很远,这不仅是因为技术上的限制,也是因为当前量子算法的应用范围仍然很窄。该项目的愿景是将量子算法基础的研究与开发针对大数据和机器学习等极端实用重要性和及时性领域的新应用相结合。该项目将通过提供新的软件工具来补充正在进行的量子技术实验工作,以帮助导致信息技术革命,利用量子资源的力量远远超出当今的能力,同时保持安全的数字社会。
英文摘要
During the 20th century, the development of information technologies had a huge impact not only on science but also on society as a whole. This unprecedented revolution revealed a need to improve the speed and efficiency of data processing, as well as to strive for better security and privacy. One ultimate limitation of current information processing models is that they assume a simplified representation of physics, relying on classical mechanics. Quantum information technologies promise to break this barrier by achieving the highest security and efficiency allowed by the laws of physics, hence leading to a new revolution in information technologies, in the form of a large-scale network of classical and quantum computing devices able to communicate and process massive amounts of data both efficiently and securely using quantum resources. Despite steady experimental progress, we are still far from this longterm vision, not only due to technological limitations but also to the still-narrow range of applications of current quantum algorithms.The vision of this project is to combine research on the fundamentals of quantum algorithms with the development of new applications targeted at areas of extreme practical importance and timeliness such as big data and machine learning. The project will complement ongoing experimental efforts in quantum technologies by providing new software tools in order to help lead to a revolution in information technologies, harnessing the power of quantum resources to go well beyond today's capabilities, while maintaining a secure digital society.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.22331/q-2021-06-24-481
发表时间:
2020-12
期刊:
Quantum
影响因子:
6.4
作者:
[Dong An;N. Linden;Jin-Peng Liu;A. Montanaro;Changpeng Shao;Jiasu Wang]
通讯作者:
Dong An;N. Linden;Jin-Peng Liu;A. Montanaro;Changpeng Shao;Jiasu Wang
DOI:
10.22331/q-2019-07-18-167
发表时间:
2019-07-18
期刊:
QUANTUM
影响因子:
6.4
作者:
[Campbell, Earl, Khurana, Ankur, Montanaro, Ashley]
通讯作者:
Montanaro, Ashley
DOI:
10.1088/2058-9565/abb003
发表时间:
2020-10-01
期刊:
QUANTUM SCIENCE AND TECHNOLOGY
影响因子:
6.7
作者:
[Alexandru, Cezar-Mihail, Bridgett-Tomkinson, Ella, Morris, Hannah]
通讯作者:
Morris, Hannah
Quantum majority vote
量子多数投票
DOI:
10.48550/arxiv.2211.11729
发表时间:
2022
期刊:
影响因子:
--
作者:
[Buhrman H]
通讯作者:
Buhrman H
Quantum circuits with classically simulable operator scrambling
具有经典可模拟算子置乱的量子电路
DOI:
10.48550/arxiv.2002.12824
发表时间:
2020
期刊:
影响因子:
--
作者:
[Blake M]
通讯作者:
Blake M
共 7 条
Quantum algorithms for optimised planning/scheduling applications
-
批准号:EP/R020426/1
-
项目类别:Research Grant
-
资助金额:$6.31万
-
财政年份:2017
-
负责人:Ashley Montanaro
-
依托单位:
New insights in quantum algorithms and complexity
-
批准号:EP/L021005/1
-
项目类别:Fellowship
-
资助金额:$107.19万
-
财政年份:2014
-
负责人:Ashley Montanaro
-
依托单位:
New directions in quantum algorithms
-
批准号:EP/G049416/2
-
项目类别:Fellowship
-
资助金额:$0.0万
-
财政年份:2010
-
负责人:Ashley Montanaro
-
依托单位:
New directions in quantum algorithms
-
批准号:EP/G049416/1
-
项目类别:Fellowship
-
资助金额:$26.63万
-
财政年份:2009
-
负责人:Ashley Montanaro
-
依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
-
批准号:24ZR1403900
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2024
-
负责人:SATOSHI NAWATA
-
依托单位:
Simulation and certification of the ground state of many-body systems on quantum simulators
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Abolfazl Bayat
-
依托单位:
Mapping Quantum Chromodynamics by Nuclear Collisions at High and Moderate Energies
-
批准号:11875153
-
项目类别:面上项目
-
资助金额:60.0万元
-
批准年份:2018
-
负责人:MARCO RUGGIERI
-
依托单位: