Benchmarking quantum advantage

As claims of quantum advantage emerge, this project provides a platform-agnostic framework to collect, validate, and compare experimental results.

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Contributors include researchers from 10+ organizations
  • Algorithmiq
  • BlueQubit
  • EPFL
  • Flatiron Institute
  • IBM
  • ORNL
  • RIKEN
  • University of Chicago
  • University of Maryland
  • University of Toronto
  • University of Wisconsin – Madison
  • Vector Institute
  • Algorithmiq
  • BlueQubit
  • EPFL
  • Flatiron Institute
  • IBM
  • ORNL
  • RIKEN
  • University of Chicago
  • University of Maryland
  • University of Toronto
  • University of Wisconsin – Madison
  • Vector Institute

What is quantum advantage?

Quantum advantage refers to performing an information processing task more efficiently, cost-effectively, or accurately using a quantum computer than is known to be possible with classical computers alone.

But achieving this milestone requires more than raw performance - it demands trust in the output of noisy quantum devices and scientific rigor in how we validate results.

Why is it hard to verify?

Quantum advantage isn’t a single milestone - it’s a falsifiable scientific hypothesis that must be tested through rigorous experimentation. Because quantum computers tackle problems that classical systems can’t easily replicate, direct comparison is challenging. Verifying any claim of advantage therefore demands multiple points of analysis.

✏️ "The test of all knowledge is experiment" β€” R. P. Feynman

Three pathways to quantum advantage

To build confidence in advantage claims, this project explores three pathways for analysis. Learn more about the different paths below.