Depth scaling of unstructured search via quantum approximate optimization
Author:
Affiliation:
1. Skolkovo Institute of Science and Technology
2. Moscow Institute of Physics and Technology
Funder
State Atomic Energy Corporation ROSATOM
Publisher
American Physical Society (APS)
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevA.110.012428/fulltext
Reference20 articles.
1. Noise resilience of variational quantum compiling
2. Noise-resilient variational hybrid quantum-classical optimization
3. Machine Learning of Noise-Resilient Quantum Circuits
4. Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
5. Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices
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