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Drug Discovery
Quantum molecular simulation for oncology, virology, and precision medicine
200 IBM quantum jobs targeting NSCLC, Nipah, HIV, and KRAS mutations. VQE-optimized molecular ground states with 22.5× potency improvement over classical.
Key results
Ground state energy
−1.5479 HOPTIMIZER.py on ibm_marrakesh
Vaccine binding
0.3918 HVajra Lock protocol
Drug potency
22.5×vs classical baselines
Safety margin
10×ESCAPE_VALIDATOR confirmed
IBM jobs200
Backendibm_marrakesh · 156 qubits
Quantum algorithms
VQESQDQAOAGrover
Use cases
✓NSCLC lung cancer targeting
✓Nipah virus vaccine design
✓HIV protease inhibitor optimization
✓KRAS mutation drug resistance
Explore Drug Discovery
View all benchmark results in AQRIB or contact us for research collaboration.