Cited by 118Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyPhotonic and Optical Devices

Error-protected qubits in a silicon photonic chip

Open access
Vigliar, Caterina, Paesani, Stefano, Ding, Yunhong, Adcock, Jeremy C., Wang, Jianwei, Morley-Short, Sam, Bacco, Davide, Oxenløwe, Leif K. +3 more·2021·Nature Physics

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Registry

Crossref · 10.1038/s41567-021-01333-w

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57 of 57 references verified0 citation errors · 0 not checkable

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  • Silicon has been the material of choice for many early demonstrations of building blocks for photonic quantum computing and has seen rapid growth in the number of generated photons and integrated components over the last 10 years.

    “As a result, it has been the material of choice for many early demonstrations of building blocks for photonic quantum computing and has seen rapid growth in the number of generated photons and integrated components over the last 10 years [7,24,25].”

    From 2022 Roadmap on integrated quantum photonics (2022) · cites this paper as [25]

    The introduction (p. 1) presents integrated silicon photonics as a platform for quantum-computing architectures and says thousands of optical components can be integrated on one chip. The paper is itself a demonstration of a silicon-photonic building block. It does not establish that silicon was the material of choice for many early demonstrations or document rapid growth in photon counts and component counts over the last ten years. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • For quantum computing applications, the challenges are similar, but require much larger scalability of qubit control/readout, including the photonics and low-latency control electronics.

    “For quantum computing applications, the challenges are similar, but require much larger scalability of qubit control/readout, including the photonics and low-latency control electronics149.”

    From Roadmapping the next generation of silicon photonics (2024) · cites this paper as [149]

  • Error correction requires thousands of physical qubits for each logical qubit, resulting in millions of qubits for calculating the FeMoco ground state energy.

    “Error correction requires thousands of physical qubits for each logical qubit [91], resulting in millions of qubits for calculating the FeMoco ground state energy [45, 46].”

    From Drug design on quantum computers (2024) · cites this paper as [46]

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Authors
Vigliar, C., Paesani, S., Ding, Y., Adcock, J. C., Wang, J., Morley-Short, S., Bacco, D., Oxenløwe, L. K., Thompson, M. G., Rarity, J. G., & Laing, A.
Affiliations
  • University of Bristol (GB)
  • Technical University of Denmark (DK)
  • Peking University (CN)
Corresponding author
  • Ding, Yunhong
  • Wang, Jianwei
  • Laing, Anthony
Venue
Nature Physics
Published
2021-09-27
Volume
17
Issue
10
Pages
1137-1143
ISSN
  • 1745-2473 (ISSN-L)
  • 1745-2481
OpenAlex
W3086329240
Cited by
118
References
58
Citations by year
2026: 11 · 2025: 19 · 2024: 32 · 2023: 33 · 2022: 15 · 2021: 8
FWCI
7.77
Type
journal article
Language
en
Locations
  • Nature Physics (publishedVersion)
  • Explore Bristol Research (publishedVersion, other-oa)
  • arXiv (Cornell University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Florence Research (University of Florence) (submittedVersion)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
  • Bristol Research (University of Bristol) (submittedVersion, other-oa)
  • arXiv (Cornell University)
Funders
Engineering and Physical Sciences Research Council (EP/T001062/1, EP/L024020/1, EP/N003470/1)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Photonic and Optical Devices
Keywords
quantum error correction, silicon photonics, photonic quantum computing, graph states, hypergraph states, entangled photons, phase estimation, measurement-based quantum computation, correlated errors

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