Reverse engineering a pairwise entanglement witness for a near-term N-qubit computer
Thompson, Nathan L. Nguyen, Nam H. Behrman, Elizabeth C. Steck, James E.
Thompson, Nathan L.
Nguyen, Nam H.
Behrman, Elizabeth C.
Steck, James E.
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2020-03
Type
Conference paper
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Keywords
N-qubit,Reverse engineering,Entanglement,Quantum computing
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Citation
Thompson, N. L., Nguyen, N. H., Behrman, E. C., & Steck, J. E. (2020). Reverse engineering a pairwise entanglement witness for a near-term N-qubit computer. Bulletin of the American Physical Society, 65(1). American Physical Society. https://meetings.aps.org/Meeting/MAR20/Session/B09.14
Abstract
Designing and implementing new and general algorithms for the noisy intermediate scale quantum (NISQ) computers that will soon be available is not easy. In previous work we have suggested, and developed, the idea of using machine learning techniques to train a small quantum system such that the desired process is "learned," thus obviating the algorithm design difficulty. Here, we extend our results towards implementation on NISQ machines. We reverse engineer our learned two-qubit entanglement witness for implementation on Microsoft's Quantum Development Kit and IBM's Quantum Experience; and, using the machine learning technique called "bootstrapping", we infer the pattern for mesoscopic N from simulation results for three-, four-, five-, six-, and seven-qubit systems. The learned witness is robust to noise and decoherence. Our results suggest a fruitful pathway for general quantum computer algorithm design and computation.
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Description
Presented at the APS March Meeting 2020, Monday–Friday, March 2–6, 2020; Denver, Colorado
Presentation time: 11:15 AM–2:03 PM, Monday, March 2, 2020
Sponsoring Unit: DQI Chair: Hari Krovi, BBN Technologies
Sponsoring Unit: DQI Chair: Hari Krovi, BBN Technologies
Publisher
American Physical Society
Journal
Bulletin of the American Physical Society
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Archival Collection
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ISSN
0003-0503