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| स्वरूप: | Preprint |
| प्रकाशित: |
2024
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| विषय: | |
| ऑनलाइन पहुंच: | https://arxiv.org/abs/2404.17570 |
| टैग: |
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| _version_ | 1866911855282225152 |
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| author | Alexander, Koen Bahgat, Andrea Benyamini, Avishai Black, Dylan Bonneau, Damien Burgos, Stanley Burridge, Ben Campbell, Geoff Catalano, Gabriel Ceballos, Alex Chang, Chia-Ming Chung, CJ Danesh, Fariba Dauer, Tom Davis, Michael Dudley, Eric Er-Xuan, Ping Fargas, Josep Farsi, Alessandro Fenrich, Colleen Frazer, Jonathan Fukami, Masaya Ganesan, Yogeeswaran Gibson, Gary Gimeno-Segovia, Mercedes Goeldi, Sebastian Goley, Patrick Haislmaier, Ryan Halimi, Sami Hansen, Paul Hardy, Sam Horng, Jason House, Matthew Hu, Hong Jadidi, Mehdi Johansson, Henrik Jones, Thomas Kamineni, Vimal Kelez, Nicholas Koustuban, Ravi Kovall, George Krogen, Peter Kumar, Nikhil Liang, Yong LiCausi, Nicholas Llewellyn, Dan Lokovic, Kimberly Lovelady, Michael Manfrinato, Vitor Melnichuk, Ann Souza, Mario Mendoza, Gabriel Moores, Brad Mukherjee, Shaunak Munns, Joseph Musalem, Francois-Xavier Najafi, Faraz O'Brien, Jeremy L. Ortmann, J. Elliott Pai, Sunil Park, Bryan Peng, Hsuan-Tung Penthorn, Nicholas Peterson, Brennan Poush, Matt Pryde, Geoff J. Ramprasad, Tarun Ray, Gareth Rodriguez, Angelita Roxworthy, Brian Rudolph, Terry Saunders, Dylan J. Shadbolt, Pete Shah, Deesha Shin, Hyungki Smith, Jake Sohn, Ben Sohn, Young-Ik Son, Gyeongho Sparrow, Chris Staffaroni, Matteo Stavrakas, Camille Sukumaran, Vijay Tamborini, Davide Thompson, Mark G. Tran, Khanh Triplet, Mark Tung, Maryann Vert, Alexey Vidrighin, Mihai D. Vorobeichik, Ilya Weigel, Peter Wingert, Mathhew Wooding, Jamie Zhou, Xinran |
| author_facet | Alexander, Koen Bahgat, Andrea Benyamini, Avishai Black, Dylan Bonneau, Damien Burgos, Stanley Burridge, Ben Campbell, Geoff Catalano, Gabriel Ceballos, Alex Chang, Chia-Ming Chung, CJ Danesh, Fariba Dauer, Tom Davis, Michael Dudley, Eric Er-Xuan, Ping Fargas, Josep Farsi, Alessandro Fenrich, Colleen Frazer, Jonathan Fukami, Masaya Ganesan, Yogeeswaran Gibson, Gary Gimeno-Segovia, Mercedes Goeldi, Sebastian Goley, Patrick Haislmaier, Ryan Halimi, Sami Hansen, Paul Hardy, Sam Horng, Jason House, Matthew Hu, Hong Jadidi, Mehdi Johansson, Henrik Jones, Thomas Kamineni, Vimal Kelez, Nicholas Koustuban, Ravi Kovall, George Krogen, Peter Kumar, Nikhil Liang, Yong LiCausi, Nicholas Llewellyn, Dan Lokovic, Kimberly Lovelady, Michael Manfrinato, Vitor Melnichuk, Ann Souza, Mario Mendoza, Gabriel Moores, Brad Mukherjee, Shaunak Munns, Joseph Musalem, Francois-Xavier Najafi, Faraz O'Brien, Jeremy L. Ortmann, J. Elliott Pai, Sunil Park, Bryan Peng, Hsuan-Tung Penthorn, Nicholas Peterson, Brennan Poush, Matt Pryde, Geoff J. Ramprasad, Tarun Ray, Gareth Rodriguez, Angelita Roxworthy, Brian Rudolph, Terry Saunders, Dylan J. Shadbolt, Pete Shah, Deesha Shin, Hyungki Smith, Jake Sohn, Ben Sohn, Young-Ik Son, Gyeongho Sparrow, Chris Staffaroni, Matteo Stavrakas, Camille Sukumaran, Vijay Tamborini, Davide Thompson, Mark G. Tran, Khanh Triplet, Mark Tung, Maryann Vert, Alexey Vidrighin, Mihai D. Vorobeichik, Ilya Weigel, Peter Wingert, Mathhew Wooding, Jamie Zhou, Xinran |
| contents | Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a manufacturable platform for quantum computing with photons. We benchmark a set of monolithically-integrated silicon photonics-based modules to generate, manipulate, network, and detect photonic qubits, demonstrating dual-rail photonic qubits with $99.98\% \pm 0.01\%$ state preparation and measurement fidelity, Hong-Ou-Mandel quantum interference between independent photon sources with $99.50\%\pm0.25\%$ visibility, two-qubit fusion with $99.22\%\pm0.12\%$ fidelity, and a chip-to-chip qubit interconnect with $99.72\%\pm0.04\%$ fidelity, not accounting for loss. In addition, we preview a selection of next generation technologies, demonstrating low-loss silicon nitride waveguides and components, fabrication-tolerant photon sources, high-efficiency photon-number-resolving detectors, low-loss chip-to-fiber coupling, and barium titanate electro-optic phase shifters. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_17570 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A manufacturable platform for photonic quantum computing Alexander, Koen Bahgat, Andrea Benyamini, Avishai Black, Dylan Bonneau, Damien Burgos, Stanley Burridge, Ben Campbell, Geoff Catalano, Gabriel Ceballos, Alex Chang, Chia-Ming Chung, CJ Danesh, Fariba Dauer, Tom Davis, Michael Dudley, Eric Er-Xuan, Ping Fargas, Josep Farsi, Alessandro Fenrich, Colleen Frazer, Jonathan Fukami, Masaya Ganesan, Yogeeswaran Gibson, Gary Gimeno-Segovia, Mercedes Goeldi, Sebastian Goley, Patrick Haislmaier, Ryan Halimi, Sami Hansen, Paul Hardy, Sam Horng, Jason House, Matthew Hu, Hong Jadidi, Mehdi Johansson, Henrik Jones, Thomas Kamineni, Vimal Kelez, Nicholas Koustuban, Ravi Kovall, George Krogen, Peter Kumar, Nikhil Liang, Yong LiCausi, Nicholas Llewellyn, Dan Lokovic, Kimberly Lovelady, Michael Manfrinato, Vitor Melnichuk, Ann Souza, Mario Mendoza, Gabriel Moores, Brad Mukherjee, Shaunak Munns, Joseph Musalem, Francois-Xavier Najafi, Faraz O'Brien, Jeremy L. Ortmann, J. Elliott Pai, Sunil Park, Bryan Peng, Hsuan-Tung Penthorn, Nicholas Peterson, Brennan Poush, Matt Pryde, Geoff J. Ramprasad, Tarun Ray, Gareth Rodriguez, Angelita Roxworthy, Brian Rudolph, Terry Saunders, Dylan J. Shadbolt, Pete Shah, Deesha Shin, Hyungki Smith, Jake Sohn, Ben Sohn, Young-Ik Son, Gyeongho Sparrow, Chris Staffaroni, Matteo Stavrakas, Camille Sukumaran, Vijay Tamborini, Davide Thompson, Mark G. Tran, Khanh Triplet, Mark Tung, Maryann Vert, Alexey Vidrighin, Mihai D. Vorobeichik, Ilya Weigel, Peter Wingert, Mathhew Wooding, Jamie Zhou, Xinran Quantum Physics Applied Physics Optics Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a manufacturable platform for quantum computing with photons. We benchmark a set of monolithically-integrated silicon photonics-based modules to generate, manipulate, network, and detect photonic qubits, demonstrating dual-rail photonic qubits with $99.98\% \pm 0.01\%$ state preparation and measurement fidelity, Hong-Ou-Mandel quantum interference between independent photon sources with $99.50\%\pm0.25\%$ visibility, two-qubit fusion with $99.22\%\pm0.12\%$ fidelity, and a chip-to-chip qubit interconnect with $99.72\%\pm0.04\%$ fidelity, not accounting for loss. In addition, we preview a selection of next generation technologies, demonstrating low-loss silicon nitride waveguides and components, fabrication-tolerant photon sources, high-efficiency photon-number-resolving detectors, low-loss chip-to-fiber coupling, and barium titanate electro-optic phase shifters. |
| title | A manufacturable platform for photonic quantum computing |
| topic | Quantum Physics Applied Physics Optics |
| url | https://arxiv.org/abs/2404.17570 |