Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers
Feedback-controlled electromigration (FCE) enables precise regulation of atomic migration by carefully optimizing multiple experimental parameters. However, manually fine-tuning these parameters poses significant challenges. This study investigated the feasibility of autonomously fabricating Au atom...
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| Abstract | Feedback-controlled electromigration (FCE) enables precise regulation of atomic migration by carefully optimizing multiple experimental parameters. However, manually fine-tuning these parameters poses significant challenges. This study investigated the feasibility of autonomously fabricating Au atomic junctions through gate-based quantum computing using a noisy intermediate-scale quantum (NISQ) device, which effectively approximates solutions to combinatorial optimization problems. We compared the computational accuracy of the NISQ device against a previously reported D-Wave quantum annealer. The results indicate that the NISQ device achieved lower residual energies and produced higher-quality approximate solutions for large-scale problems than the quantum annealing system. |
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| AbstractList | Feedback-controlled electromigration (FCE) enables precise regulation of atomic migration by carefully optimizing multiple experimental parameters. However, manually fine-tuning these parameters poses significant challenges. This study investigated the feasibility of autonomously fabricating Au atomic junctions through gate-based quantum computing using a noisy intermediate-scale quantum (NISQ) device, which effectively approximates solutions to combinatorial optimization problems. We compared the computational accuracy of the NISQ device against a previously reported D-Wave quantum annealer. The results indicate that the NISQ device achieved lower residual energies and produced higher-quality approximate solutions for large-scale problems than the quantum annealing system. |
| Author | Tsukayama, Daisuke Shibuya, Tetsuo Shirakashi, Jun-ichi Kanezashi, Takumi Imai, Hiroshi |
| Author_xml | – sequence: 1 givenname: Takumi surname: Kanezashi fullname: Kanezashi, Takumi organization: Tokyo University of Agriculture and Technology Department of Electrical Engineering and Computer Science, Koganei, Tokyo 184-8588, Japan – sequence: 2 givenname: Daisuke surname: Tsukayama fullname: Tsukayama, Daisuke organization: Tokyo University of Agriculture and Technology Department of Electrical Engineering and Computer Science, Koganei, Tokyo 184-8588, Japan – sequence: 3 givenname: Jun-ichi surname: Shirakashi fullname: Shirakashi, Jun-ichi organization: Tokyo University of Agriculture and Technology Department of Electrical Engineering and Computer Science, Koganei, Tokyo 184-8588, Japan – sequence: 4 givenname: Tetsuo surname: Shibuya fullname: Shibuya, Tetsuo organization: The University of Tokyo Division of Medical Data Informatics, Human Genome Center, The Institute of Medical Science, Minato, Tokyo 108-8639, Japan – sequence: 5 givenname: Hiroshi surname: Imai fullname: Imai, Hiroshi organization: The University of Tokyo The Graduate School of Information Science and Technology, Bunkyo, Tokyo 113-8656, Japan |
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| SubjectTerms | combinatorial optimization problems feedback-controlled electromigration gate-based quantum computer variational quantum eigensolver |
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| Title | Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers |
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