QLCI-CG: Quantum Software for Scientific and Engineering Applications

QLCI-CG：用于科学和工程应用的量子软件

• 批准号: 1937008
• 负责人: George Siopsis
• 金额: $ 14.21万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937008&HistoricalAwards=false
• 关键词: QLCI; CG; Quantum; Software; Scientific

The Quantum Leap Challenge Institutes (QLCI) program is part of the Quantum Leap, one of the research Big Ideas promoted by the National Science Foundation. This award is a QLCI Conceptualization Grant, which supports activities to build capacity among teams planning for the large-scale, interdisciplinary Challenge Institute projects that aim to advance the frontiers of quantum information science and engineering. Research at these Institutes will span the focus areas of quantum computation, quantum communication, quantum simulation, and/or quantum sensing. The Institutes are expected to foster multidisciplinary approaches to specific scientific, technological, and workforce development goals in these fields. This Conceptualization Grant will develop well-formulated plans for a future Challenge Institute proposal focused on software development for the implementation of quantum algorithms on noisy intermediate-scale quantum (NISQ) devices.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.

量子飞跃挑战研究所（QLCI）计划是量子飞跃的一部分，量子飞跃是美国国家科学基金会推动的研究大思想之一。该奖项是QLCI概念化补助金，旨在支持计划大规模跨学科挑战研究所项目的团队之间的能力建设活动，这些项目旨在推进量子信息科学和工程的前沿。这些研究所的研究将涵盖量子计算，量子通信，量子模拟和/或量子传感的重点领域。预计这些研究所将促进采取多学科办法，实现这些领域的具体科学、技术和劳动力发展目标。该概念化补助金将为未来的挑战研究所提案制定精心制定的计划，该提案侧重于在嘈杂的中等规模量子（NISQ）设备上实施量子算法的软件开发。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems

• DOI: 10.3390/a14100294
• 发表时间: 2021-10-01
• 期刊: ALGORITHMS
• 影响因子: 2.3
• 作者: Herrman, Rebekah;Treffert, Lorna;Siopsis, George
• 通讯作者: Siopsis, George

Practical quantum computation of chemical and nuclear energy levels using quantum imaginary time evolution and Lanczos algorithms

• DOI: 10.1038/s41534-020-00290-1
• 发表时间: 2019-12
• 期刊: npj Quantum Information
• 影响因子: 7.6
• 作者: Kubra Yeter-Aydeniz;R. Pooser;G. Siopsis

Practically secure quantum position verification

实用安全的量子位置验证

• DOI: 10.1088/1367-2630/ac0755
• 发表时间: 2021
• 期刊: New Journal of Physics
• 影响因子: 3.3
• 作者: Das, Siddhartha;Siopsis, George
• 通讯作者: Siopsis, George

Lower bounds on circuit depth of the quantum approximate optimization algorithm

• DOI: 10.1007/s11128-021-03001-7
• 发表时间: 2021-02-09
• 期刊: QUANTUM INFORMATION PROCESSING
• 影响因子: 2.5
• 作者: Herrman, Rebekah;Ostrowski, James;Siopsis, George
• 通讯作者: Siopsis, George

Quantum computation of an interacting fermionic model

相互作用费米子模型的量子计算

• DOI: 10.1088/2058-9565/ab8f63
• 发表时间: 2020
• 期刊: Quantum Science and Technology
• 影响因子: 6.7
• 作者: Mishra, Chinmay;Thompson, Shane;Pooser, Raphael;Siopsis, George
• 通讯作者: Siopsis, George