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

Kronos motion — fusion

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 layers
Honest 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.