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Quantum Machine Learning Quantum Simulation Quantum State Preparation Representation

How NOT to Fool the Masses When Giving Performance Results for Quantum Computers

arXiv
Authors: Catherine McGeoch

Year

2024

Paper ID

36803

Status

Preprint

Abstract Read

~2 min

Abstract Words

173

Citations

N/A

Abstract

In 1991, David Bailey wrote an article describing techniques for overstating the performance of massively parallel computers. Intended as a lighthearted protest against the practice of inflating benchmark results in order to "fool the masses" and boost sales, the paper sparked development of procedural standards that help benchmarkers avoid methodological errors leading to unjustified and misleading conclusions. Now that quantum computers are starting to realize their potential as viable alternatives to classical computers, we can see the mistakes of three decades ago being repeated by a new batch of researchers who are unfamiliar with this history and these standards. Inspired by Bailey's model, this paper presents four suggestions for newcomers to quantum performance benchmarking, about how not to do it. They are: (1) Don't claim superior performance without mentioning runtimes; (2) Don't report optimized results without mentioning the tuning time needed to optimize those results; (3) Don't claim faster runtimes for (or in comparison to) solvers running on imaginary platforms; and (4) No cherry-picking (without justification and qualification). Suggestions for improving current practice appear in the last section.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • In 1991, David Bailey wrote an article describing techniques for overstating the performance of massively parallel computers.

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