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Q: Fachverband Quantenoptik und Photonik
Q 53: Quantum Control
Q 53.8: Vortrag
Donnerstag, 14. März 2024, 16:15–16:30, HS 3118
Quantum Error Correction with Quantum Autoencoders — •Diego Alberto Olvera Millán1, David Locher2,3, Lorenzo Cardarelli4, Janine Hilder1, Markus Müller2,3, Ulrich Poschinger1, and Ferdinand Schmidt-Kaler1 — 1Institut für Physik, Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany — 2Peter Grünberg Institute, Theoretical Nanoelectronics, Forschungszentrum Jülich, D-52425 Jülich — 3Institute for Quantum Information, RWTH Aachen University, D-52056 Aachen, Germany — 4Pasqal, 7 Rue Leonard de Vinci, 91300 Massy, France
Active quantum error correction is a critical element in realizing robust quantum computation. Quantum Autoencoders have the potential for discovering error correction algorithms [1]. Our study aims to transition this theoretical framework into practical hardware implementation. Our approach involves a trainable circuit. This parameterized ansatz was trained in a simulator backend and subsequently validated on a shuttling-based trapped-ion quantum computer. Future work will center around performing training using the Quantum computer to evaluate the cost function and finding codes for correcting the native error sources of the hardware.
Keywords: Quantum Machine Learning; Quantum Error Correction; Quantum Autoencoders