Computing Library › Quantum Algorithms
Quantum Algorithms
Hamiltonian Simulation
Simulating how a quantum system evolves under its Hamiltonian is the original motivation for quantum computing — and where a fusion company's physics interest is sharpest.
- Goal
- apply e^{-iHt}
- Methods
- Trotter, qubitization, LCU
- Feynman
- 'simulate nature with a quantum machine'
What it does
Time evolution e^{-iHt} is decomposed into implementable pieces — Trotter–Suzuki splitting for local Hamiltonians, or modern qubitization/LCU methods with near-optimal scaling. It lets a quantum computer model quantum dynamics that are exponentially hard classically.
Where it's used
Quantum chemistry, materials, and — long term — strongly-correlated and kinetic plasma physics that resist classical simulation.
In code (Qiskit)
python
from qiskit.synthesis import SuzukiTrotter
# Trotterize exp(-iHt) into gate layersHonest gateUseful plasma-scale Hamiltonian simulation needs fault-tolerant hardware well beyond today's; Kronos treats it as a long-horizon capability, not a near-term tool.