💊 Drug Discovery with Quantum
Accelerate pharmaceutical development with quantum computing
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Quantum Chemistry Simulation
💊 The Quantum Advantage
Drug discovery is a $2 trillion industry plagued by inefficiency: it takes 10-15 years and $2.6 billion to bring one drug to market. Quantum computing promises to revolutionize this process by accurately simulating molecular interactions, predicting drug efficacy, and identifying optimal candidates faster than ever.
💡 The Challenge
Drug molecules interact with proteins through quantum mechanical effects—electron correlation, van der Waals forces, hydrogen bonding. Classical computers approximate these interactions poorly, leading to high failure rates in clinical trials.
Success rate to market:0.1%
Cost per approved drug:$2.6B
🎯 What You'll Master
🔬
Discovery Pipeline
From target ID to clinical trials
⚛️
Molecular Simulation
VQE for binding affinity
🧬
Protein Folding
Quantum annealing approaches
🤖
Quantum ML
QSVM for drug classification
📊 Classical vs Quantum
🖥️Classical Methods
Simulation accuracy:~80%
Time per molecule:Weeks
Max complexity:~50 atoms
Clinical success:0.1%
⚛️Quantum Methods
Simulation accuracy:~99%
Time per molecule:Hours
Max complexity:500+ atoms
Projected success:5-10%
💊 Example Drug Candidates
Aspirin21 atoms
Target: COX enzyme
Approved
Penicillin27 atoms
Target: Bacterial cell wall
Approved
Experimental Drug156 atoms
Target: Cancer protein
Phase II
Monoclonal Antibody450 atoms
Target: Immune checkpoint
Phase III