A new adaptive quantum computing algorithm demonstrates high-fidelity quantum simulations, with linear system
Significance and Impact
This scalable algorithm creates opportunities to study quantum dynamics of significantly larger systems on current and near-term quantum devices.
Algorithm self-adaptively constructs ansatz based on McLachlan’s variational principle.
Resulting circuits are two orders of magnitude shorter than for standard first-order Trotter expansion.
Calculations for different integrable and non-integrable spin models and quench protocols.
Circuit grows linearly with time at initial simulation stage, followed by slowing down at saturation.
Linear system size scaling for fixed simulation times.