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Prioritizing quantum computing use cases in the drug discovery and development pipeline.

Arseny Kovyrshin1, Lars Tornberg2, Jason Crain3

  • 1Data Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Pepparedsleden 1, Molndal SE-431 83, Sweden; Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

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This summary is machine-generated.

Quantum computing promises to revolutionize drug discovery by tackling complex chemistry problems intractable for classical computers. This research explores quantum algorithms for accelerating pharmaceutical development in the near future.

Keywords:
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Area of Science:

  • Computational chemistry
  • Quantum computing applications
  • Pharmaceutical sciences

Background:

  • Quantum computing hardware and algorithms are rapidly advancing.
  • This progress fuels expectations for practical, real-world applications.
  • The drug discovery and development pipeline faces significant computational challenges.

Purpose of the Study:

  • To explore the impact of quantum computing on drug discovery and development.
  • To identify and prioritize use cases benefiting from quantum computation.
  • To assess the potential of quantum algorithms for challenging quantum chemistry problems.

Main Methods:

  • Review of current quantum computing innovations and algorithms.
  • Analysis of research programs for quantum computing use cases.
  • Development and application of quantum computing algorithms for specific chemical problems.
  • Prioritization of use cases based on potential quantum benefit.

Main Results:

  • Identification of quantum chemistry problems challenging for classical methods.
  • Initial development and application of quantum algorithms for these problems.
  • A framework for prioritizing quantum computing applications in drug discovery.

Conclusions:

  • Quantum computing holds significant potential to accelerate drug discovery.
  • Early-fault tolerant quantum computing will unlock new opportunities.
  • Strategic development and application of quantum algorithms are crucial for pharmaceutical innovation.