The State of Quantum in 2026
IBM, Google, and startups like IonQ and PsiQuantum have pushed qubit counts and error correction to the point where narrow quantum advantage is now demonstrable on specific optimization and chemistry simulation tasks.
- Combinatorial optimization — quantum annealing and QAOA show promise for hyperparameter search and neural architecture search.
- Drug discovery and materials science — molecular simulation using variational quantum eigensolvers is outpacing classical methods for certain molecules.
- Post-quantum cryptography — NIST-standardized lattice-based algorithms are being deployed now to protect AI model weights and training data.