SBIR Phase I: End-to-End Compilation of Quantum Applications
SBIR Phase I: End-to-End Compilation of Quantum Applications
批准号:
2110860
负责人:
Pranav Gokhale
金额:
$25.6万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2022-04-30
中文摘要
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英文摘要
The broader impact of this Small Business Innovation Research (SBIR) Phase I project is relevant to US national priorities. For example, potential applications of quantum computing include defense-related tasks such as aircraft and flight maneuver identification. Other promising quantum applications are prevalent in logistics problems and can impact American competitiveness in manufacturing. In addition, longer term horizons of quantum computing such as better fertilizer production would dramatically reduce global energy expenditures. The efficiency gains from the proposed end-to-end compilation techniques will address these objectives. The scientific advances funded by this research will enable quantum computing to be applied to a wider range of problems than previously envisioned.This Small Business Innovation Research (SBIR) Phase I project has the intellectual merit of accelerating the timeline for practical quantum computing. By achieving significant efficiency gains from cross-layer optimization spanning the full quantum stack, practical applications will be executable sooner than otherwise possible. The Phase I research will validate that three proposed quantum techniques outperform the state-of-art found in prevailing quantum research. This work will advance understanding of the ultimate potential and limits of near-term quantum computing. To date, there is still no consensus whether non-error-corrected quantum computers will ever outperform classical computers. To address this overarching research question, the proposed R&D will undertake the technical challenge of end-to-end compilation, which tailors execution of quantum applications to the underlying hardware. This requires eschewing traditional abstraction barriers which are convenient but incur efficiency losses due to indirection. Instead, the proposed work will take as direct a path as possible from the end-user application down to the underlying quantum hardware. Doing so will reveal the fundamental capacity of noisy quantum computers.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.
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DOI:
10.1109/iiswc53511.2021.00015
发表时间:
2021
期刊:
2021 IEEE International Symposium on Workload Characterization (IISWC
影响因子:
--
作者:
[Ravi, Gokul Subramanian, Smith, Kaitlin N., Gokhale, Pranav, Chong, Frederic T.]
通讯作者:
Chong, Frederic T.
Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems
优化量子程序执行顺序以减少量子系统模拟中的错误
DOI:
10.1109/icrc53822.2021.00013
发表时间:
2021
期刊:
2021 International Conference on Rebooting Computing (ICRC
影响因子:
--
作者:
[Tomesh, Teague, Gui, Kaiwen, Gokhale, Pranav, Shi, Yunong, Chong, Frederic T., Martonosi, Margaret, Suchara, Martin]
通讯作者:
Suchara, Martin
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
采用量子近似优化算法 (QAOA) 进行机组承诺
DOI:
10.1109/qce52317.2021.00035
发表时间:
2021
期刊:
2021 IEEE International Conference on Quantum Computing and Engineering (QCE
影响因子:
--
作者:
[Koretsky, Samantha, Gokhale, Pranav, Baker, Jonathan M., Viszlai, Joshua, Zheng, Honghao, Gurung, Niroj, Burg, Ryan, Paaso, Esa Aleksi, Khodaei, Amin, Eskandarpour, Rozhin]
通讯作者:
Eskandarpour, Rozhin
DOI:
10.3390/electronics10141690
发表时间:
2020-04
期刊:
ArXiv
影响因子:
--
作者:
[T. Tomesh;P. Gokhale;Eric R. Anschuetz;F. Chong]
通讯作者:
T. Tomesh;P. Gokhale;Eric R. Anschuetz;F. Chong
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