Hamiltonian Simulation in the Interaction Picture using the Magnus Expansion

08/12/2024, 12:10pm-12:30pm
Presenter: Minh Tran

Kunal Sharma and Minh Tran

We propose an algorithm for simulating the dynamics of a geometrically local Hamiltonian~$A$ under a small geometrically local perturbation~$\alpha B$.
In certain regimes, the algorithm achieves the optimal scaling and outperforms the state-of-the-art algorithms. By moving into the interaction frame of $A$ and classically computing the Magnus expansion of the interaction-picture Hamiltonian, our algorithm bypasses the need for ancillary qubits. In analyzing its performance, we develop a framework to capture the quasi-locality of the Magnus operators, leading to a tightened bound for the error of the Magnus truncation. The Lieb-Robinson bound also guarantees the efficiency of computing the Magnus operators and of their subsequent decomposition into elementary quantum gates. These features make our algorithm appealing for near-term and early-fault-tolerant simulations.