Improving the Performance of Deep Quantum Optimization Algorithms with Continuous Gate Sets
Variational quantum algorithms are believed to be promising for solving computationally hard problems on noisy intermediate-scale quantum (NISQ) systems. Gaining computational power from these algorithms critically relies on the mitigation of errors during their execution, which for coherence-limite...
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| Published in: | PRX quantum Vol. 1; no. 2; p. 020304 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
American Physical Society
01.10.2020
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| ISSN: | 2691-3399, 2691-3399 |
| Online Access: | Get full text |
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