Pulse-efficient quantum machine learning
Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with the current generation of quantum processors, device noise limits their performance, for example by inducing an exponent...
Main Authors: | André Melo, Nathan Earnest-Noble, Francesco Tacchino |
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Format: | Article |
Language: | English |
Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2023-10-01
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Series: | Quantum |
Online Access: | https://quantum-journal.org/papers/q-2023-10-09-1130/pdf/ |
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