<p>Although holding great promise for low noise, ease of operation and networking<sup><CitationRef CitationID="CR1">1</CitationRef></sup>, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions<sup><CitationRef AdditionalCitationIDS="CR3 CR4 CR5" CitationID="CR2">2</CitationRef>–<CitationRef CitationID="CR6">6</CitationRef></sup>. Here we introduce a manufacturable platform<sup><CitationRef CitationID="CR7">7</CitationRef></sup> for quantum computing with photons. We benchmark a set of monolithically integrated silicon-photonics-based modules to generate, manipulate, network and detect heralded photonic qubits, demonstrating dual-rail photonic qubits with 99.98% ± 0.01% state preparation and measurement fidelity, Hong–Ou–Mandel (HOM) quantum interference between independent photon sources with 99.50% ± 0.25% visibility, two-qubit fusion with 99.22% ± 0.12% fidelity and a chip-to-chip qubit interconnect with 99.72% ± 0.04% fidelity, conditional on photon detection and not accounting for loss. We preview a selection of next-generation technologies: low-loss silicon nitride (SiN) waveguides and components to address loss, as well as fabrication-tolerant photon sources, high-efficiency photon-number-resolving detectors (PNRDs), low-loss chip-to-fibre coupling and barium titanate (BTO) electro-optic phase shifters for high-performance fast switching.</p>

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A manufacturable platform for photonic quantum computing

  • Koen Alexander,
  • Avishai Benyamini,
  • Dylan Black,
  • Damien Bonneau,
  • Stanley Burgos,
  • Ben Burridge,
  • Hugo Cable,
  • Geoff Campbell,
  • Gabriel Catalano,
  • Alejandro Ceballos,
  • Chia-Ming Chang,
  • Sourav Sen Choudhury,
  • C. J. Chung,
  • Fariba Danesh,
  • Tom Dauer,
  • Michael Davis,
  • Eric Dudley,
  • Ping Er-Xuan,
  • Josep Fargas,
  • Alessandro Farsi,
  • Colleen Fenrich,
  • Jonathan Frazer,
  • Masaya Fukami,
  • Yogeeswaran Ganesan,
  • Gary Gibson,
  • Mercedes Gimeno-Segovia,
  • Sebastian Goeldi,
  • Patrick Goley,
  • Ryan Haislmaier,
  • Sami Halimi,
  • Paul Hansen,
  • Sam Hardy,
  • Jason Horng,
  • Matthew House,
  • Hong Hu,
  • Mehdi Jadidi,
  • Vijay Jain,
  • Henrik Johansson,
  • Thomas Jones,
  • Vimal Kamineni,
  • Nicholas Kelez,
  • Ravi Koustuban,
  • George Kovall,
  • Peter Krogen,
  • Nikhil Kumar,
  • Yong Liang,
  • Nicholas LiCausi,
  • Dan Llewellyn,
  • Kimberly Lokovic,
  • Michael Lovelady,
  • Vitor Riseti Manfrinato,
  • Ann Melnichuk,
  • Gabriel Mendoza,
  • Brad Moores,
  • Shaunak Mukherjee,
  • Joseph Munns,
  • Francois-Xavier Musalem,
  • Faraz Najafi,
  • Jeremy L. O’Brien,
  • J. Elliott Ortmann,
  • Sunil Pai,
  • Bryan Park,
  • Hsuan-Tung Peng,
  • Nicholas Penthorn,
  • Brennan Peterson,
  • Gabriel Peterson,
  • Matt Poush,
  • Geoff J. Pryde,
  • Tarun Ramprasad,
  • Gareth Ray,
  • Angelita Viejo Rodriguez,
  • Brian Roxworthy,
  • Terry Rudolph,
  • Dylan J. Saunders,
  • Pete Shadbolt,
  • Deesha Shah,
  • Andrea Bahgat Shehata,
  • Hyungki Shin,
  • Jeffrey Sinsky,
  • Jake Smith,
  • Ben Sohn,
  • Young-Ik Sohn,
  • Gyeongho Son,
  • Mario C. M. M. Souza,
  • Chris Sparrow,
  • Matteo Staffaroni,
  • Camille Stavrakas,
  • Vijay Sukumaran,
  • Davide Tamborini,
  • Mark G. Thompson,
  • Khanh Tran,
  • Mark Triplett,
  • Maryann Tung,
  • Andrzej Veitia,
  • Alexey Vert,
  • Mihai D. Vidrighin,
  • Ilya Vorobeichik,
  • Peter Weigel,
  • Matthew Wingert,
  • Jamie Wooding,
  • Xinran Zhou

摘要

Although holding great promise for low noise, ease of operation and networking1, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions26. Here we introduce a manufacturable platform7 for quantum computing with photons. We benchmark a set of monolithically integrated silicon-photonics-based modules to generate, manipulate, network and detect heralded photonic qubits, demonstrating dual-rail photonic qubits with 99.98% ± 0.01% state preparation and measurement fidelity, Hong–Ou–Mandel (HOM) quantum interference between independent photon sources with 99.50% ± 0.25% visibility, two-qubit fusion with 99.22% ± 0.12% fidelity and a chip-to-chip qubit interconnect with 99.72% ± 0.04% fidelity, conditional on photon detection and not accounting for loss. We preview a selection of next-generation technologies: low-loss silicon nitride (SiN) waveguides and components to address loss, as well as fabrication-tolerant photon sources, high-efficiency photon-number-resolving detectors (PNRDs), low-loss chip-to-fibre coupling and barium titanate (BTO) electro-optic phase shifters for high-performance fast switching.