RAISE/TAQS: Quantum simulation of materials and molecules using quantum computation
RAISE/TAQS: Quantum simulation of materials and molecules using quantum computation
批准号:
1839204
负责人:
Fernando Brandao
金额:
$100.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2022-09-30
中文摘要
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英文摘要
The objective of this award is to explore how transformative advances in the simulation of quantum dynamics can be realized on quantum computers that will be available in the next five years. Such near-term quantum computers containing 49 to 100 qubits, though modest in size, can represent and carry out operations on quantum states that are intractable on classical computers. However, it is not yet clear which physically relevant problems are infeasible on classical computers yet solvable with near-term quantum computers. The goal of this project is to delineate the boundary between efficient classical and quantum algorithms for quantum dynamics, for which there is a strong theoretical basis to believe that quantum computers can outperform classical computers for certain kinds of physical simulations and observables. The outcome of this project will be a significant advance in computational tools needed to describe quantum dynamics in physically relevant problems in chemistry, physics, and materials science, and will particularly address how quantum computers may serve as a transformational new tool to study these fundamental processes.The project will advance state-of-the-art tensor network classical algorithms as well as with quantum algorithms that can be implemented on near-term quantum computers with limited gate depth and noisy qubits. The award addresses several long-standing scientific questions. First, the researchers will investigate whether accurate simplifications exist for classical algorithms if only simple observables are desired and how the presence of noise affects these classical approximations. Second, the team will work on determining the size of a physically relevant boundary problem between quantum and classical simulation methods using the best available classical algorithms and high performance implementations. Third, the researchers will identify robust quantum algorithms for noisy real-time and imaginary-time quantum dynamics on near-term architectures. Finally, the project will apply these results to assess what are the best near-term chemical and materials systems in which to study quantum dynamics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(7)
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DOI:
10.22331/q-2022-12-19-877
发表时间:
2022-07
期刊:
Quantum
影响因子:
6.4
作者:
[Ulysse Chabaud;A. Deshpande;S. Mehraban]
通讯作者:
Ulysse Chabaud;A. Deshpande;S. Mehraban
Efficient 2D tensor network simulation of quantum systems
量子系统的高效二维张量网络模拟
DOI:
10.5555/3433701.3433719
发表时间:
2020
期刊:
Storage and Analysis
影响因子:
--
作者:
[Pang, Yuchen, Hao, Tianyi, Dugad, Annika, Zhou, Yiqing, Solomonik, Edgar]
通讯作者:
Solomonik, Edgar
DOI:
10.1038/s41567-019-0704-4
发表时间:
2020-02-01
期刊:
NATURE PHYSICS
影响因子:
19.6
作者:
[Motta, Mario, Sun, Chong, Chan, Garnet Kin-Lic]
通讯作者:
Chan, Garnet Kin-Lic
Exploiting fermion number in factorized decompositions of the electronic structure Hamiltonian
在电子结构哈密顿量的因式分解中利用费米子数
DOI:
10.1103/physreva.105.012403
发表时间:
2022
期刊:
Physical Review A
影响因子:
2.9
作者:
[McArdle, Sam, Campbell, Earl, Su, Yuan]
通讯作者:
Su, Yuan
DOI:
10.1103/prxquantum.3.010320
发表时间:
2021-03
期刊:
PRX Quantum
影响因子:
9.7
作者:
[Hirsh Kamakari;Shi-Ning Sun;M. Motta;A. Minnich]
通讯作者:
Hirsh Kamakari;Shi-Ning Sun;M. Motta;A. Minnich
共 7 条
国内基金
海外基金
北半球历史生物地理学问题探讨:基于RAD taqs方法的紫荆属亲缘地理学研究
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批准号:31470312
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项目类别:面上项目
-
资助金额:85.0万元
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批准年份:2014
-
负责人:龚维
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依托单位: