Multi-programming Cross Platform Benchmarking for Quantum Computing Hardware

TL;DR

This paper introduces a new benchmarking approach for quantum computers using multi-programming to evaluate hardware utilization, comparing trapped-ion and superconducting devices, and finds trapped-ion devices perform better with multi-programming.

Contribution

It presents the first comparison of multi-programming performance on trapped-ion and superconducting quantum hardware, highlighting advantages of trapped-ion systems.

Findings

Trapped-ion devices outperform superconducting ones in multi-programming scenarios.

Multi-programming does not reduce fidelity on trapped-ion quantum computers.

Benchmarking via multi-programming offers new insights into hardware utilization efficiency.

Abstract

With the rapid development of quantum hardware technologies, benchmarking the performance of quantum computers has become attractive. In this paper, we propose a new aspect of benchmarking quantum computers by evaluating the limitation of hardware utilization using a multi-programming mechanism -- a technique that simultaneously executes multiple circuits in a quantum machine. This is the first attempt to compare the evaluation of multi-programming on trapped-ion and superconducting devices. Based on the experimental results, performing multi-programming on a trapped-ion device demonstrates better results than a superconducting machine without losing any fidelity to independent executions.