光子学
量子
量子计算机
计算机科学
计算科学
光电子学
物理
量子力学
作者
Koen Alexander,Andrea Bahgat,Avishai Benyamini,Dylan S. Black,Damien Bonneau,Stanley P. Burgos,Ben M. Burridge,Geoff Campbell,G. Catalano,Alex Ceballos,Chia‐Ming Chang,C. C. Chung,Fariba Danesh,Tom Dauer,Michael W. Davis,Eric F. Dudley,Ping Er-Xuan,Josep Fargas,Alessandro Farsi,Colleen S. Fenrich
出处
期刊:Cornell University - arXiv
日期:2024-04-26
被引量:4
标识
DOI:10.48550/arxiv.2404.17570
摘要
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.
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