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Pauli Propagation for the Classical Simulation of Quantum Circuits

ORAL

Abstract

Classically simulating quantum circuits is in general a hard task. However, certain families of quantum circuits may be practically or even provably efficiently simulated by use of specialized classical algorithms. In this talk, we will cover a new simulation method called "Pauli propagation", which is based on the Heisenberg propagation of observables through a quantum circuit. We will discuss recent polynomial-time simulation guarantees for estimating expectation values of noisy quantum circuits, as well as a wide range of noise-free quantum circuits that were previously believed to be out of range of classical techniques. We support our theoretical results with large-scale numerical simulations of quantum computations above 100 qubits and beyond 1D. Our results highlight that Pauli propagation is a complementary simulation approach to the popular tensor networks in that it is not natively hindered by the amount of entanglement a quantum circuit introduces or the entangling topology. Finally, we provide a high-performance open-source library for Pauli propagation that can be used to simulate modern quantum computing experiments and support quantum algorithm development.

Publication: Main paper: Upcoming publication including technical implementation details of Pauli propagation algorithms, including an open-source release.<br>Will summarize results obtained with our simulation technique:<br>https://arxiv.org/abs/2306.05400 (under review)<br>https://arxiv.org/abs/2308.09109 (under review)<br>https://arxiv.org/abs/2408.12739 (under review, may be submitted separately)<br>https://arxiv.org/abs/2409.01706 (may be submitted separately)

Presenters

  • Manuel S. Rudolph

    Ecole Polytechnique Federale de Lausanne (EPFL)

Authors

  • Manuel S. Rudolph

    Ecole Polytechnique Federale de Lausanne (EPFL)

  • Tyson Jones

    Ecole Polytechnique Federale de Lausanne (EPFL)

  • Zoe Holmes

    EPFL, Ecole Polytechnique Federale de Lausanne (EPFL)