NISQ Quantum Computers Maturity Study

The objective of this study was to provide an assessment of the maturity of NISQ (Noisy Intermediate-Scale Quantum) computing methods and quantum-inspired methods for solving industrial applications. This study proposes an evaluation methodology based on the analysis of numerous scientific publications.

Context and clients

Quantum Hub and partners

The collaborative approach of the Quantum Hub aims to anticipate the impacts and applications of quantum computing on companies and markets in the short-, medium-, and long-term. This Hub brings together various partners:

  • University laboratories
  • Research centers
  • Industrial companies

In this context, the Hub’s partners expressed the need for a global perspective on developments and research in quantum computing.

Use cases
Use cases

Deliverables

This work resulted in the creation of several deliverables:

  • Report: detailing the set of algorithms, use cases, and analysis points used to assess the maturity of NISQ methods.
  • Summary: outlining the key ideas resulting from the analysis presented in the report.
  • Visualization tool: enabling visualization of the maturity of NISQ methods.
  • Workshop: presenting the results of the study to the partners of the Quantum Hub.

Focus on the visualization tool

The visualization tool developed by Qounselor displays the maturity level of the different NISQ approaches. Among other things, this tool permits to:

  • Graphically represent scientific studies addressing industrial use cases by identifying:
    • The use case addressed
    • The mathematical problem related to the use case
    • The NISQ algorithm used to solve the mathematical problem
    • The platforms implementing the NISQ algorithm
  • Associate each NISQ algorithm with its maturity level for solving concrete industrial problems.
Outil de cartographie pour la visualisation de la maturité des algorithmes NISQ

Overview of the results

A presentation of the results was given to the Maison du Quantique Alpes, and its content was later shared on YouTube:

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