pith. sign in

arxiv: 1712.09271 · v2 · pith:SLUCWSHYnew · submitted 2017-12-26 · 🪐 quant-ph

Practical Quantum Error Mitigation for Near-Future Applications

classification 🪐 quant-ph
keywords errorerrorsquantumcircuiteffectextrapolationgatesintroduced
0
0 comments X p. Extension
pith:SLUCWSHY Add to your LaTeX paper What is a Pith Number?
\usepackage{pith}
\pithnumber{SLUCWSHY}

Prints a linked pith:SLUCWSHY badge after your title and writes the identifier into PDF metadata. Compiles on arXiv with no extra files. Learn more

read the original abstract

It is vital to minimise the impact of errors for near-future quantum devices that will lack the resources for full fault tolerance. Two quantum error mitigation (QEM) techniques have been introduced recently, namely error extrapolation [Li2017,Temme2017] and quasi-probability decomposition [Temme2017]. To enable practical implementation of these ideas, here we account for the inevitable imperfections in the experimentalist's knowledge of the error model itself. We describe a protocol for systematically measuring the effect of errors so as to design efficient QEM circuits. We find that the effect of localised Markovian errors can be fully eliminated by inserting or replacing some gates with certain single-qubit Clifford gates and measurements. Finally, having introduced an exponential variant of the extrapolation method we contrast the QEM techniques using exact numerical simulation of up to 19 qubits in the context of a `SWAP test' circuit. Our optimised methods dramatically reduce the circuit's output error without increasing the qubit count or time requirements.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Reliable high-accuracy error mitigation for utility-scale quantum circuits

    quant-ph 2025-08 conditional novelty 6.0

    QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapo...