Arbitrary-order Magnus expansion is shown to have commutator-scaling error bounds and a polynomial-cost quantum circuit, yielding a time-dependent Hamiltonian simulation algorithm with O~(αbar^{1+1/p} T^{1+1/p}/ε^{1/p}) query complexity and logarithmic dependence on the Hamiltonian's time derivative
Quantum simulation of time-dependent Hamiltonians via commutator-free quasi-Magnus operators
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abstract
Hamiltonian simulation is arguably the most fundamental application of quantum computers. The Magnus operator is a popular method for time-dependent Hamiltonian simulation in computational mathematics, yet its usage requires the implementation of exponentials of commutators, which has previously made it unappealing for quantum computing. The development of commutator-free quasi-Magnus operators (CFQMs) circumvents this obstacle, at the expense of a lack of provable global numeric error bounds. In this work, we establish one such error bound for CFQM-based time-dependent quantum Hamiltonian simulation by carefully estimating the error of each step involved in their definition. This allows us to compare its cost with the alternatives, and show that CFQMs are often the most efficient product-formula technique available by more than an order of magnitude. As a result, we find that CFQMs may be particularly useful to simulate time-dependent Hamiltonians on early fault-tolerant quantum computers.
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High-order Magnus Expansion for Hamiltonian Simulation
Arbitrary-order Magnus expansion is shown to have commutator-scaling error bounds and a polynomial-cost quantum circuit, yielding a time-dependent Hamiltonian simulation algorithm with O~(αbar^{1+1/p} T^{1+1/p}/ε^{1/p}) query complexity and logarithmic dependence on the Hamiltonian's time derivative