November 2023

Journal

Efficient verification of anticoncentrated quantum states

By:
Bennink, Ryan S
Journal Name:
npj Quantum Information
Page Number:
1-10
Volume:
7
Issue Number:
1
Publication Date:
November 9, 2023
View DOI Listing:
https://doi.org/10.1038/s41534-021-00455-6

Abstract

I present a method for estimating the fidelity F(μ, τ) between a preparable quantum state μ and a classically specified pure target state τ=|τ⟩⟨τ|, using simple quantum circuits and on-the-fly classical calculation (or lookup) of selected amplitudes of |τ⟩. The method is sample efficient for anticoncentrated states (including many states that are hard to simulate classically), with approximate cost 4ϵ−2(1 − F)dpcoll where ϵ is the desired precision of the estimate, d is the dimension of the Hilbert space, and pcoll is the collision probability of the target distribution. This scaling is exponentially better than that of any method based on classical sampling. I also present a more sophisticated version of the method that uses any efficiently preparable and well-characterized quantum state as an importance sampler to further reduce the number of copies of μ needed. Though some challenges remain, this work takes a significant step toward scalable verification of complex states produced by quantum processors.


Related Researchers