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pro vyhledávání: '"Katsube, Ryota"'
Autor:
Sato, Naoto, Katsube, Ryota
When a bug is detected by testing a quantum program on a quantum computer, we want to determine its location to fix it. To locate the bug, the quantum program is divided into several segments, and each segment is tested. However, to prepare a quantum
Externí odkaz:
http://arxiv.org/abs/2409.20011
Autor:
Sato, Naoto, Katsube, Ryota
When a bug is detected by testing a quantum program on a quantum computer, we want to determine its location to fix it. To locate the bug, the quantum program is divided into several segments, and each segment is tested. However, to prepare a quantum
Externí odkaz:
http://arxiv.org/abs/2309.04266
It is important to improve the accuracy of quantum measurements and operations both in engineering and fundamental physics. It is known, however, that the achievable accuracy of measurements and unitary operations are generally limited by conservatio
Externí odkaz:
http://arxiv.org/abs/2211.13433
We consider conceptual issues of deep learning (DL) for metric detectors using test particle geodesics in curved spacetimes. Advantages of DL metric detectors are emphasized from a view point of general coordinate transformations. Two given metrics (
Externí odkaz:
http://arxiv.org/abs/2206.03006
Publikováno v:
Journal of the Physical Society of Japan 89, 054005 (2020)
Quantum fluctuations yield inevitable noises in quantum detection. We derive an upper bound of signal to noise ratio for arbitrary quantum detection described by trace-class operators with discrete spectra. The bound is independent of observables to
Externí odkaz:
http://arxiv.org/abs/1910.05013
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