Estimating the Power of a Quantum Computer

TL;DR

This paper presents a method to estimate quantum volumetric metrics using system parameters like qubit count and error rates, aiding non-expert users in assessing quantum hardware performance.

Contribution

It introduces an approach to approximate quantum volumetric metrics from basic system parameters, simplifying performance evaluation for end-users.

Findings

Estimation method for quantum volumetric metrics from system parameters

Analysis of error correction overhead on metric values

Guidance for non-experts to evaluate quantum hardware

Abstract

Various benchmarking metrics have been developed to quantify the performance of quantum computing hardware and help evaluate development. However, it is not always necessary to know the metric values precisely. This is especially true for potential end-users who may not be experts in the underlying technology itself. In this work, we show how to estimate the quantum volumetric metrics defined in Ref. [1] based on system parameters such as qubit number, qubit layout/connectivity, and physical error rates. As part of this work, we also include an initial analysis of how the overhead required for quantum error correction in systems below the error correction viability threshold affects the metric value of that system.