📚 Syllabus & Course Curriculum
Drug Discovery & Pharmaceutical Sciences
Module-by-module breakdown of Quantum Computing Applications in Biology & Drug Discovery, from foundations to a certified capstone project.
Foundations
• Qubits, superposition, entanglement and measurement
• Gate model circuits and the role of interference in algorithms
• NISQ-era hardware: coherence times, error rates and what they permit
Chemistry
• The molecular Hamiltonian and qubit mappings
• Variational quantum eigensolver and ansatz design
• Comparison against classical methods and current resource requirements
Optimisation
• QAOA and annealing formulations for protein folding and docking problems
• Encoding biological constraints into QUBO form
• Benchmarking honestly against strong classical heuristics
Machine Learning
• Quantum kernels and variational classifiers on molecular data
• Hybrid quantum-classical workflows
• Barren plateaus and other practical training obstacles
Assessment
• Resource estimation for fault-tolerant advantage in chemistry
• Evaluating vendor and paper claims of quantum advantage
• Where the realistic near-term contribution to drug discovery lies
Earn government-registered certification in Quantum Computing Applications in Biology & Drug Discovery
e-Certificate and e-Marksheet issued on successful completion.
