期刊
PHYSICAL REVIEW APPLIED
卷 16, 期 4, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevApplied.16.044042
关键词
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资金
- Intel Research
- Vannevar Bush Faculty Fellowship [ONR N00014-16-1-2008]
- Department of Energy Computational Science Graduate Fellowship [DE-FG02-97ER25308]
- Canada 150 Research Chairs Program
- Canada Industrial Research Chair Program
- Google, Inc.
- U.S. Department of Energy [DE-SC0019374]
- Canada Foundation for Innovation
- Government of Ontario
- Ontario Research Fund-Research Excellence
- University of Toronto
As quantum processors grow in size, the design of quantum hardware becomes more challenging, requiring the use of existing quantum computers to design and test the performance of next-generation quantum hardware.
With the increasing size of quantum processors, submodules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design primitive and parameter choice in time-consuming coordination between design, fabrication, and experimental validation. Here we show how one can design and test the performance of next-generation quantum hardware-by using existing quantum computers. Focusing on superconducting transmon processors as a prominent hardware platform, we compute the static and dynamic properties of individual and coupled transmons. We show how the energy spectra of transmons can be obtained by variational hybrid quantum-classical algorithms that are well suited for near-term noisy quantum computers. In addition, single-and two-qubit gate simulations are demonstrated via Suzuki-Trotter decomposition. Our methods pave a promising way towards designing candidate quantum processors when the demands of calculating submodule properties exceed the capabilities of classical computing resources.
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