Workshop Description
The chemical space of potential drug molecules is estimated at 10^60 compounds. Classical algorithms cannot explore it efficiently. Quantum chemistry simulation via variational methods offers a tractable path for specific problem classes: calculating molecular energies, predicting binding affinities, and modelling proton transfer reactions in drug synthesis. AstraZeneca's 2024 collaboration with IonQ and Amazon demonstrated a quantum-accelerated workflow for a small-molecule drug synthesis reaction, representing the first publicly documented case of a pharmaceutical company running production quantum chemistry on commercially available hardware. In 2024, IBM and Moderna reached a record-setting quantum simulation: 80 qubits simulating mRNA sequences up to 60 nucleotides, up from the previous record of 42.
The practical limits of current hardware are well-defined, and any workshop that avoids them is doing its audience a disservice. Quantum advantage in molecular simulation today is constrained to systems of roughly 10 to 50 molecular orbitals on NISQ hardware with meaningful noise mitigation. That covers a useful range of fragment-based drug design and binding energy calculations but does not extend to whole-protein simulation at clinically relevant resolution. This workshop maps the real boundary, gives participants a framework for evaluating their own target pipeline against it, and works through the vendor landscape (Algorithmiq, Pasqal, IBM, IonQ, Microsoft) with a specific focus on pharmaceutical partnership models and IP protection requirements. The full-day format includes a hands-on quantum simulation framework component; the half-day format is a briefing without the practical exercise.
What participants cover
- VQE and Quantum Phase Estimation for molecular energy calculation: current error rates versus classical HPC benchmarks
- Protein-ligand binding energy: where quantum docking outperforms AutoDock and Glide on specific target classes
- AstraZeneca/IonQ/Amazon 2024 demonstration and IBM-Moderna 80-qubit mRNA simulation: what was achieved and its scope
- NISQ-era limitations: system sizes (10-50 molecular orbitals) where current hardware achieves advantage, and the frontier for 2026-2030
- Structuring a first quantum chemistry pilot: vendor selection, infrastructure requirements, IP protection, and the internal business case
- McKinsey's $200-500B life sciences projection to 2035: the assumptions behind it and what a realistic internal ROI model looks like