Structure optimization for parameterized quantum circuits

Mateusz Ostaszewski1,2, Edward Grant2,3, and Marcello Benedetti2,4

1Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland
2Department of Computer Science, University College London, WC1E 6BT London, United Kingdom
3Rahko Limited, N4 3JP London, United Kingdom
4Cambridge Quantum Computing Limited, CB2 1UB Cambridge, United Kingdom

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We propose an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead. Shallow circuits that use structure optimization perform significantly better than circuits that use parameter updates alone, making this method particularly suitable for noisy intermediate-scale quantum computers. We demonstrate the method for optimizing a variational quantum eigensolver for finding the ground states of Lithium Hydride and the Heisenberg model in simulation, and for finding the ground state of Hydrogen gas on the IBM Melbourne quantum computer.

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► References

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The above citations are from Crossref's cited-by service (last updated successfully 2023-11-29 05:04:21) and SAO/NASA ADS (last updated successfully 2023-11-29 05:04:22). The list may be incomplete as not all publishers provide suitable and complete citation data.