A — Algorithms
Quantum algorithms
We focus on simulation of chemistry and materials, and on optimization. For each algorithm we publish a full resource estimate: how many qubits, how many gates, and how much error correction it needs.
That turns "someday" into a date range. It also shows hardware teams which improvements matter most.
- Which chemistry problems need the fewest logical qubits?
- How much do better error rates shorten the timeline?
- Where do classical methods stay ahead?