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Bibliographic Details
Main Authors: Watson, James D., Watkins, Jacob
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.14385
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author Watson, James D.
Watkins, Jacob
author_facet Watson, James D.
Watkins, Jacob
contents Product formulae are a popular class of digital quantum simulation algorithms due to their conceptual simplicity, low overhead, and performance which often exceeds theoretical expectations. Recently, Richardson extrapolation and polynomial interpolation have been proposed to mitigate the Trotter error incurred by use of these formulae. This work provides an improved, rigorous analysis of these techniques for the task of calculating time-evolved expectation values. We demonstrate that, to achieve error $ε$ in a simulation of time $T$ using a $p^\text{th}$-order product formula with extrapolation, circuits depths of $O\left(T^{1+1/p} \textrm{polylog}(1/ε)\right)$ are sufficient -- an exponential improvement in the precision over product formulae alone. Furthermore, we achieve commutator scaling, improve the complexity with $T$, and do not require fractional implementations of Trotter steps. Our results provide a more accurate characterisation of the algorithmic error mitigation techniques currently proposed to reduce Trotter error.
format Preprint
id arxiv_https___arxiv_org_abs_2408_14385
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exponentially Reduced Circuit Depths Using Trotter Error Mitigation
Watson, James D.
Watkins, Jacob
Quantum Physics
Strongly Correlated Electrons
Data Structures and Algorithms
Numerical Analysis
Product formulae are a popular class of digital quantum simulation algorithms due to their conceptual simplicity, low overhead, and performance which often exceeds theoretical expectations. Recently, Richardson extrapolation and polynomial interpolation have been proposed to mitigate the Trotter error incurred by use of these formulae. This work provides an improved, rigorous analysis of these techniques for the task of calculating time-evolved expectation values. We demonstrate that, to achieve error $ε$ in a simulation of time $T$ using a $p^\text{th}$-order product formula with extrapolation, circuits depths of $O\left(T^{1+1/p} \textrm{polylog}(1/ε)\right)$ are sufficient -- an exponential improvement in the precision over product formulae alone. Furthermore, we achieve commutator scaling, improve the complexity with $T$, and do not require fractional implementations of Trotter steps. Our results provide a more accurate characterisation of the algorithmic error mitigation techniques currently proposed to reduce Trotter error.
title Exponentially Reduced Circuit Depths Using Trotter Error Mitigation
topic Quantum Physics
Strongly Correlated Electrons
Data Structures and Algorithms
Numerical Analysis
url https://arxiv.org/abs/2408.14385