Trend Technology 8: molecular behaviour modelled directly instead of approximated
Summary
Quantum simulation for drug discovery is the report's eighth emerging technology, modelling molecules directly rather than through simplified approximations. A single protein may contain thousands of atoms whose interactions decide whether a drug binds its target, misses it or causes unwanted reactions. Classical computers cut that complexity down to make predictions, which has typically introduced errors. Quantum simulation instead applies the same physical principles that govern how atoms actually interact, producing a far more faithful picture of how a candidate will fold, bind and behave before lab work begins. Better error correction and hybrid quantum-classical systems have recently made the approach more reliable and compatible with existing workflows. The report says it may open disease targets long considered undruggable, though it does not guarantee a drug.
Classification
Evidence 1
- Top 10 Emerging Technologies of 2026 World Economic Forum (in collaboration with Frontiers) page=27;section=8 Quantum simulation for drug discovery 2026-06 accessed 2026-07-26
Observed signals 4
- SignalAbout nine in 10 clinical drug candidates fail, which the chapter partly attributes to computing error
- SignalIBM and Moderna ran the largest quantum protein folding simulation to date in 2025
- SignalIBM quantum protein simulation / Microsoft & Quantinuum quantum error correction in Nature (800x logical qubits)
- SignalThe quantum drug discovery market is said to have roughly doubled in five years
Part of issues 1
- IssueSimulation cannot count as regulatory evidence because shared validation standards do not exist1 trends · 1 signals
Relation types: constitutes · supports
Public id: fm-ecfc3caecee5
