WIAS Preprint No. 3213, (2025)

Quantum circuit simulation with a local time--dependent variational principle


Authors

  • Sander, Aaron
  • Fröhlich, Maximilian
  • Eigel, Martin
    ORCID: 0000-0003-2687-4497
  • Eisert, Jens
  • Ali, Mazen
  • Hintermüller, Michael
    ORCID: 0000-0001-9471-2479
  • Milbradt, Richard M.
  • Wille, Robert
  • Mendl, Christian B.

2020 Mathematics Subject Classification

  • 65N75 65C30 60H35 65J10

Keywords

  • Quantum computing, quantum circuit simulation, tensor networks, matrix product states, time-dependent variational principle

DOI

10.20347/WIAS.PREPRINT.3213

Abstract

Classical simulations of quantum circuits are vital for assessing potential quantum advantage and benchmarking devices, yet they require sophisticated methods to avoid the exponential growth of resources. Tensor network approaches, in particular matrix product states (MPS) combined with the time-evolving block decimation (TEBD) algorithm, currently dominate large-scale circuit simulations. These methods scale efficiently when entanglement is limited but suffer rapid bond dimension growth with increasing entanglement and handle long-range gates via costly SWAP insertions. Motivated by the success of the time-dependent variational principle (TDVP) in many-body physics, we reinterpret quantum circuits as series of discrete time evolutions, using gate generators to construct an MPS-based circuit simulation via a local TDVP formulation. This addresses TEBD's key limitations by (1) naturally accommodating long-range gates and (2) optimally representing states on the MPS manifold. By diffusing entanglement more globally, the method suppresses local bond growth and reduces memory and runtime costs. We benchmark the approach on five 49-qubit circuits: three Hamiltonian circuits (1D open and periodic Heisenberg, 2D 7 x 7 Ising) and two algorithmic ones (quantum approximate optimization, hardware-efficient ansatz). Across all cases, our method yields substantial resource reductions over standard tools, establishing a new state-of-the-art for circuit simulation and enabling advances across quantum computing, condensed matter, and beyond.

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