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Quantum Computing in Medicine.

James C L Chow1,2

  • 1Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1X6, Canada.

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Summary
This summary is machine-generated.

Quantum computing (QC) offers powerful solutions for complex medical challenges. This review details QC

Keywords:
Monte Carlo simulationdrug discoveryhealthcaremedical diagnosticsmedicinepersonalized medicinequantum algorithmsquantum computingquantum machine learningradiotherapy optimization

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Area of Science:

  • Quantum computing applications in medicine and healthcare.

Background:

  • Quantum computing (QC) provides unprecedented computational power for complex problems intractable for classical computers.
  • Review of fundamental QC concepts: qubits, superposition, and entanglement.
  • Historical overview of QC development from theory to practical applications.

Purpose of the Study:

  • To provide a comprehensive review of the current state of quantum computing.
  • To focus on the specific applications and impact of QC within the field of medicine.
  • To explore the intersection of QC with medical research, drug discovery, and diagnostics.

Main Methods:

  • Exploration of fundamental quantum computing principles.
  • Review of significant milestones in QC's application to medical research.
  • Explanation of key quantum techniques: quantum algorithms, quantum machine learning (QML), and quantum-enhanced imaging.

Main Results:

  • Identified breakthroughs in drug discovery, molecular modeling, genomics, and medical diagnostics enabled by QC.
  • Highlighted the relevance of quantum algorithms, QML, and quantum-enhanced imaging in healthcare.
  • Addressed current challenges including hardware limitations, scalability, and clinical integration.

Conclusions:

  • Quantum computing holds transformative potential for medical research and clinical practice.
  • Future directions include quantum-classical hybrid systems and hardware innovations.
  • QC advancements are poised to accelerate adoption in healthcare settings.