Timing constraints imposed by classical digital control systems on photonic implementations of measurement-based quantum computing

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Abstract

Most of the architectural research on photonic implementations of measurement-based quantum computing (MBQC) has focused on the quantum resources involved in the problem with the implicit assumption that these will provide the main constraints on system scaling. However, the ‘flyingqubit’ architecture of photonic MBQC requires specific timing constraints that need to be met by the classical control system. This classical control includes, for example: the amplification of the signals from single-photon detectors to voltage levels compatible with digital systems; the implementation of a control system which converts measurement outcomes into basis settings for measuring subsequent cluster qubits, in accordance with the quantum algorithm being implemented; and the digital-to-analog converter (DAC) and amplifier systems required to set these measurement bases using a fast phase modulator. In this paper, we analyze the digital system needed to implement arbitrary one-qubit rotations and controlled-NOT (CNOT) gates in discrete-variable photonic MBQC, in the presence of an ideal cluster state generator, with the main aim of understanding the timing constraints imposed by the digital logic on the analog system and quantum hardware. We have verified that the design works using functional simulations, and have used static timing analysis of a Xilinx FPGA (7 series) to provide a practical upper bound on the speed at which the adaptive measurement processing can be performed, in turn constraining the photonic clock rate of the system. The design and testing system is freely available for use as the basis of analysis of more complex designs, incorporating more recent proposals for photonic quantum computing. Our work points to the importance of co-designing the classical control system in tandem with the quantum system in order to meet the challenging specifications of a photonic quantum computer
Original languageEnglish
Article number6000220
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Quantum Engineering
Volume3
Early online date19 May 2022
DOIs
Publication statusE-pub ahead of print - 19 May 2022

Bibliographical note

Funding Information:
The work of J. R. Scott was supported by the Bristol Quantum Engineering Centre for Doctoral Training, EPSRC under Grant EP/L015730/1. The work of K. C. Balram was supported by the European Research Council under Grant ERC-StG 758843. The design and testing system is available in the following repository: https://gitlab.com/johnrscott/mbqc-fpga

Publisher Copyright:
© 2020 IEEE.

Research Groups and Themes

  • Bristol Quantum Information Institute
  • Photonics and Quantum
  • QETLabs

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