2023
DOI: 10.21468/scipostphys.14.4.073
|View full text |Cite
|
Sign up to set email alerts
|

Optimal compression of quantum many-body time evolution operators into brickwall circuits

Abstract: Near term quantum computers suffer from a degree of decoherence which is prohibitive for high fidelity simulations with deep circuits. An economical use of circuit depth is therefore paramount. For digital quantum simulation of quantum many-body systems, real time evolution is typically achieved by a Trotter decomposition of the time evolution operator into circuits consisting only of two qubit gates. To match the geometry of the physical system and the CNOT connectivity of the quantum processor, additional SW… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 16 publications
(1 citation statement)
references
References 56 publications
0
1
0
Order By: Relevance
“…A detailed numerical analysis of Trotter-Suzuki splitting methods [3] shows that they can approximate the time evolution with circuit depth scaling essentially linearly in simulated time. Recently, the authors of [4][5][6] have proposed and implemented the idea of optimizing variational circuit Ansätze inspired by Trotterized time evolution for the purpose of Hamiltonian simulation (using parametrized circuit gates). Here, we build upon the same idea and adapt a tensor network perspective as in [6], but take a step further by regarding the circuit gates as general unitary matrices, analogous to [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…A detailed numerical analysis of Trotter-Suzuki splitting methods [3] shows that they can approximate the time evolution with circuit depth scaling essentially linearly in simulated time. Recently, the authors of [4][5][6] have proposed and implemented the idea of optimizing variational circuit Ansätze inspired by Trotterized time evolution for the purpose of Hamiltonian simulation (using parametrized circuit gates). Here, we build upon the same idea and adapt a tensor network perspective as in [6], but take a step further by regarding the circuit gates as general unitary matrices, analogous to [7,8].…”
Section: Introductionmentioning
confidence: 99%