Abstract
Recent work has deployed linear combinations of unitaries techniques to reduce the cost of fault-tolerant quantum simulations of correlated electron models. Here, we show that one can sometimes improve upon those results with optimized implementations of Trotter-Suzuki-based product formulas. We show that low-order Trotter methods perform surprisingly well when used with phase estimation to compute relative precision quantities (e.g. energies per unit cell), as is often the goal for condensed-phase systems. In this context, simulations of the Hubbard and plane-wave electronic structure models with N < 105 fermionic modes can be performed with roughly O(1) and O(N2) T complexities. We perform numerics revealing tradeoffs between the error and gate complexity of a Trotter step; e.g., we show that split-operator techniques have less Trotter error than popular alternatives. By compiling to surface code fault-tolerant gates and assuming error rates of one part per thousand, we show that one can error-correct quantum simulations of interesting, classically intractable instances with a few hundred thousand physical qubits.
| Original language | English |
|---|---|
| Article number | 296 |
| Pages (from-to) | 1-45 |
| Number of pages | 45 |
| Journal | Quantum |
| Volume | 4 |
| DOIs | |
| Publication status | Published - 13 Jul 2020 |
Bibliographical note
Copyright © 2020 Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften. All rights reserved. . Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Fingerprint
Dive into the research topics of 'Improved fault-tolerant quantum simulation of condensed-phase correlated electrons via trotterization'. Together they form a unique fingerprint.Projects
- 2 Finished
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Quantum algorithms for quantum chemistry
Berry, D. (Primary Chief Investigator) & Babbush, R. (Partner Investigator)
2/05/19 → 1/05/22
Project: Research
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Quantum algorithms for computational physics
Berry, D. (Primary Chief Investigator), Brennen, G. (Chief Investigator), Childs, A. (Chief Investigator), Pachos, J. K. (Chief Investigator) & Aspuru-Guzik, A. (Chief Investigator)
1/01/16 → 20/09/19
Project: Research
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