Discovering Compact Quantum Circuits for Fault-Tolerant Logical State Preparation with Reinforcement Learning

ORAL

Abstract

One of the key aspects in realizing large-scale fault-tolerant quantum computers is quantum error correction (QEC). The first essential step of QEC is to encode the logical state into physical qubits. However, there is no unique recipe for finding a compact quantum circuit that encodes or prepares the logical state in a fault-tolerant way, especially under hardware constraints such as qubit connectivity and gate set. In this work, we use reinforcement learning (RL) to automatically discover compact quantum circuits that prepare the logical state of a QEC code fault-tolerantly with the flag-based protocol for a given qubit connectivity and gate set. We first demonstrate that an RL agent can fault-tolerantly prepare logical states of a code with up to 15 physical qubits without any hardware constraints. We then show fault-tolerant logical state preparation on a 2D lattice connectivity with a smaller circuit size than using the standard transpilation technique to satisfy the hardware constraints.

* The research is part of the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus.

Presenters

  • Remmy Zen

    Max Planck Institute for the Science of Light

Authors

  • Remmy Zen

    Max Planck Institute for the Science of Light

  • Jan Olle Aguilera

    Max Planck Institute for the Science of Light

  • Luis Colmenarez

    Institute for Quantum Information, RWTH Aachen University

  • Matteo Puviani

    Max Planck Institute for the Science of Light

  • Markus Müller

    Forschungszentrum Jülich GmbH

  • Florian Marquardt

    Friedrich-Alexander University Erlangen, Max Planck Institute for the Science of Light, Friedrich-Alexander University Erlangen-, Max Planck Institute for the Science of Light