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Low-Latency Digital Signal Processing for Feedback and Feedforward in Quantum Computing and Communication

Yves Salathé, Philipp Kurpiers, Thomas Karg, Christian Lang, Christian Kraglund Andersen, Abdulkadir Akin, Sebastian Krinner, Christopher Eichler, and Andreas Wallraff
Phys. Rev. Applied 9, 034011 – Published 16 March 2018

Abstract

Quantum computing architectures rely on classical electronics for control and readout. Employing classical electronics in a feedback loop with the quantum system allows us to stabilize states, correct errors, and realize specific feedforward-based quantum computing and communication schemes such as deterministic quantum teleportation. These feedback and feedforward operations are required to be fast compared to the coherence time of the quantum system to minimize the probability of errors. We present a field-programmable-gate-array-based digital signal processing system capable of real-time quadrature demodulation, a determination of the qubit state, and a generation of state-dependent feedback trigger signals. The feedback trigger is generated with a latency of 110 ns with respect to the timing of the analog input signal. We characterize the performance of the system for an active qubit initialization protocol based on the dispersive readout of a superconducting qubit and discuss potential applications in feedback and feedforward algorithms.

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  • Received 6 September 2017
  • Revised 12 December 2017

DOI:https://doi.org/10.1103/PhysRevApplied.9.034011

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyCondensed Matter, Materials & Applied PhysicsInterdisciplinary PhysicsGeneral PhysicsNonlinear DynamicsNetworks

Authors & Affiliations

Yves Salathé*, Philipp Kurpiers, Thomas Karg, Christian Lang, Christian Kraglund Andersen, Abdulkadir Akin, Sebastian Krinner, Christopher Eichler, and Andreas Wallraff

  • Department of Physics, ETH Zürich, CH-8093 Zürich, Switzerland

  • *ysalathe@phys.ethz.ch

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Vol. 9, Iss. 3 — March 2018

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