An efficient quantum algorithm for the time evolution of parameterized circuits
We introduce a novel hybrid algorithm to simulate the real-time evolution of quantum systems using parameterized quantum circuits. The method, named "projected – Variational Quantum Dynamics" (p-VQD) realizes an iterative, global projection of the exact time evolution onto the parameterize...
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Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2021-07-01
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Series: | Quantum |
Online Access: | https://quantum-journal.org/papers/q-2021-07-28-512/pdf/ |
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doaj-e54a760492114db2bd99706dcb4d21ea2021-07-28T10:14:10ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2021-07-01551210.22331/q-2021-07-28-51210.22331/q-2021-07-28-512An efficient quantum algorithm for the time evolution of parameterized circuitsStefano BarisonFilippo VicentiniGiuseppe CarleoWe introduce a novel hybrid algorithm to simulate the real-time evolution of quantum systems using parameterized quantum circuits. The method, named "projected – Variational Quantum Dynamics" (p-VQD) realizes an iterative, global projection of the exact time evolution onto the parameterized manifold. In the small time-step limit, this is equivalent to the McLachlan's variational principle. Our approach is efficient in the sense that it exhibits an optimal linear scaling with the total number of variational parameters. Furthermore, it is global in the sense that it uses the variational principle to optimize all parameters at once. The global nature of our approach then significantly extends the scope of existing efficient variational methods, that instead typically rely on the iterative optimization of a restricted subset of variational parameters. Through numerical experiments, we also show that our approach is particularly advantageous over existing global optimization algorithms based on the time-dependent variational principle that, due to a demanding quadratic scaling with parameter numbers, are unsuitable for large parameterized quantum circuits.https://quantum-journal.org/papers/q-2021-07-28-512/pdf/ |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefano Barison Filippo Vicentini Giuseppe Carleo |
spellingShingle |
Stefano Barison Filippo Vicentini Giuseppe Carleo An efficient quantum algorithm for the time evolution of parameterized circuits Quantum |
author_facet |
Stefano Barison Filippo Vicentini Giuseppe Carleo |
author_sort |
Stefano Barison |
title |
An efficient quantum algorithm for the time evolution of parameterized circuits |
title_short |
An efficient quantum algorithm for the time evolution of parameterized circuits |
title_full |
An efficient quantum algorithm for the time evolution of parameterized circuits |
title_fullStr |
An efficient quantum algorithm for the time evolution of parameterized circuits |
title_full_unstemmed |
An efficient quantum algorithm for the time evolution of parameterized circuits |
title_sort |
efficient quantum algorithm for the time evolution of parameterized circuits |
publisher |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften |
series |
Quantum |
issn |
2521-327X |
publishDate |
2021-07-01 |
description |
We introduce a novel hybrid algorithm to simulate the real-time evolution of quantum systems using parameterized quantum circuits. The method, named "projected – Variational Quantum Dynamics" (p-VQD) realizes an iterative, global projection of the exact time evolution onto the parameterized manifold. In the small time-step limit, this is equivalent to the McLachlan's variational principle. Our approach is efficient in the sense that it exhibits an optimal linear scaling with the total number of variational parameters. Furthermore, it is global in the sense that it uses the variational principle to optimize all parameters at once. The global nature of our approach then significantly extends the scope of existing efficient variational methods, that instead typically rely on the iterative optimization of a restricted subset of variational parameters. Through numerical experiments, we also show that our approach is particularly advantageous over existing global optimization algorithms based on the time-dependent variational principle that, due to a demanding quadratic scaling with parameter numbers, are unsuitable for large parameterized quantum circuits. |
url |
https://quantum-journal.org/papers/q-2021-07-28-512/pdf/ |
work_keys_str_mv |
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1721278852002480128 |