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arxiv: 2401.10321 · v1 · pith:DPNBQFQK · submitted 2024-01-18 · quant-ph

Doubling Efficiency of Hamiltonian Simulation via Generalized Quantum Signal Processing

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classification quant-ph
keywords hamiltonianquantumprocessingsignalcostpossiblesimulationalmost
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Quantum signal processing provides an optimal procedure for simulating Hamiltonian evolution on a quantum computer using calls to a block encoding of the Hamiltonian. In many situations it is possible to control between forward and reverse steps with almost identical cost to a simple controlled operation. We show that it is then possible to reduce the cost of Hamiltonian simulation by a factor of 2 using the recent results of generalised quantum signal processing.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Quantum simulation of massive Thirring and Gross--Neveu models for arbitrary number of flavors

    quant-ph 2026-02 unverdicted novelty 5.0

    Quantum simulation methods for Thirring and Gross-Neveu fermionic models with arbitrary flavors, including gate complexity bounds and ground-state preparation up to 20 qubits.