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Entangling Oncology: Variational Quantum Eigensolver-Driven Optimization for Patient-Specific Multi-Modal Cancer Therapy Planning

2025-09-01

Abstract excerpt

Optimizing personalized cancer treatment plans that combine chemotherapy, radiation, and immunotherapy presents a complex challenge due to the need to balance efficacy with minimizing side effects across diverse patient profiles. This study introduces a novel hybrid quantum-classical framework leveraging the Variational Quantum Eigensolver (VQE) for multi-modal optimization. Treatment planning is formulated as a p...

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Literature Corpus work
aa914f16-ed9e-55a1-b200-be04ad48cc8a
DOI
10.20944/preprints202509.0011.v1
Open publication

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Entangling Oncology: Variational Quantum Eigensolver-Driven Optimization for Patient-Specific Multi-Modal Cancer Therapy PlanningDOI 10.20944/preprints202509.0011.v1
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