Algorithms for simulating quantum many-body systems have been rapidly evolving and new and better techniques are continuously being devised both for high performance computers as well as for quantum hardware. I will discuss one such approach for quantum physics simulations based on the recently introduced `off-diagonal series expansion’ of operators.<br/>I will show how the expansion may be used to construct a quantum Monte Carlo algorithm capable of simulating the equilibrium physics of a very broad range of physical models within a single unifying framework as well as to efficiently simulate the Hamiltonian dynamics of many-body models on a quantum computer.

Novel methods for simulating quantum many-body systems on classical and quantum computers

ACS Spring Meeting 2021

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