Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle
We use Pontryagin’s minimum principle to optimize variational quantum algorithms. We show that for a fixed computation time, the optimal evolution has a bang-bang (square pulse) form, both for closed and open quantum systems with Markovian decoherence. Our findings support the choice of evolution an...
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American Physical Society
2017-05-01
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Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.7.021027 |
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doaj-6e9dd5632b0945c2bfaa3bd85b0b62222020-11-25T01:30:37ZengAmerican Physical SocietyPhysical Review X2160-33082017-05-017202102710.1103/PhysRevX.7.021027Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum PrincipleZhi-Cheng YangArmin RahmaniAlireza ShabaniHartmut NevenClaudio ChamonWe use Pontryagin’s minimum principle to optimize variational quantum algorithms. We show that for a fixed computation time, the optimal evolution has a bang-bang (square pulse) form, both for closed and open quantum systems with Markovian decoherence. Our findings support the choice of evolution ansatz in the recently proposed quantum approximate optimization algorithm. Focusing on the Sherrington-Kirkpatrick spin glass as an example, we find a system-size independent distribution of the duration of pulses, with characteristic time scale set by the inverse of the coupling constants in the Hamiltonian. The optimality of the bang-bang protocols and the characteristic time scale of the pulses provide an efficient parametrization of the protocol and inform the search for effective hybrid (classical and quantum) schemes for tackling combinatorial optimization problems. Furthermore, we find that the success rates of our optimal bang-bang protocols remain high even in the presence of weak external noise and coupling to a thermal bath.http://doi.org/10.1103/PhysRevX.7.021027 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhi-Cheng Yang Armin Rahmani Alireza Shabani Hartmut Neven Claudio Chamon |
spellingShingle |
Zhi-Cheng Yang Armin Rahmani Alireza Shabani Hartmut Neven Claudio Chamon Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle Physical Review X |
author_facet |
Zhi-Cheng Yang Armin Rahmani Alireza Shabani Hartmut Neven Claudio Chamon |
author_sort |
Zhi-Cheng Yang |
title |
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle |
title_short |
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle |
title_full |
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle |
title_fullStr |
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle |
title_full_unstemmed |
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle |
title_sort |
optimizing variational quantum algorithms using pontryagin’s minimum principle |
publisher |
American Physical Society |
series |
Physical Review X |
issn |
2160-3308 |
publishDate |
2017-05-01 |
description |
We use Pontryagin’s minimum principle to optimize variational quantum algorithms. We show that for a fixed computation time, the optimal evolution has a bang-bang (square pulse) form, both for closed and open quantum systems with Markovian decoherence. Our findings support the choice of evolution ansatz in the recently proposed quantum approximate optimization algorithm. Focusing on the Sherrington-Kirkpatrick spin glass as an example, we find a system-size independent distribution of the duration of pulses, with characteristic time scale set by the inverse of the coupling constants in the Hamiltonian. The optimality of the bang-bang protocols and the characteristic time scale of the pulses provide an efficient parametrization of the protocol and inform the search for effective hybrid (classical and quantum) schemes for tackling combinatorial optimization problems. Furthermore, we find that the success rates of our optimal bang-bang protocols remain high even in the presence of weak external noise and coupling to a thermal bath. |
url |
http://doi.org/10.1103/PhysRevX.7.021027 |
work_keys_str_mv |
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