Event Details
Speaker Name
James Watson
Speaker Institution
University of Maryland
Start Date & Time
2024-11-14 11:30 am
Event Type
Event Details

Lunch will be served.

Abstract:

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 pth-order product formula with extrapolation, circuits depths of O(T1+1/ppolylog(1/ϵ)) 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.

Location
PSC 2136 & Online
Misc
Groups