Pith. sign in

REVIEW 1 cited by

Multi-programming Cross Platform Benchmarking for Quantum Computing Hardware

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2206.03144 v1 pith:IRRDWDPN submitted 2022-06-07 quant-ph

classification quant-ph
keywords quantummulti-programmingbenchmarkinghardwarecomputersmachineresultssuperconducting
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original 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.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Thermodynamic Recycling of Algorithmic Failure Branches: Quantum-Computer Demonstration with Quantum Error Correction

    quant-ph 2026-01 unverdicted novelty 7.0 of 10

    Thermodynamic recycling of algorithmic failure branches enables information erasure with heat dissipation below the Landauer limit on a quantum processor.

Pith tools