A manufacturable platform for photonic quantum computing
Koen Alexander, Andrea Bahgat, Avishai Benyamini, Dylan Black, Damien, Bonneau, Stanley Burgos, Ben Burridge, Geoff Campbell, Gabriel Catalano, Alex, Ceballos, Chia-Ming Chang, CJ Chung, Fariba Danesh, Tom Dauer, Michael Davis,, Eric Dudley, Ping Er-Xuan, Josep Fargas

TL;DR
This paper presents a scalable, manufacturable silicon photonics platform for quantum computing, demonstrating high-fidelity qubit operations, inter-chip communication, and promising next-generation components.
Contribution
Introduction of a manufacturable silicon photonics platform for quantum computing with integrated modules and high-fidelity operations, enabling scalable photonic quantum systems.
Findings
99.98% state preparation and measurement fidelity
99.50% Hong-Ou-Mandel interference visibility
99.22% two-qubit fusion fidelity
Abstract
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 state preparation and measurement fidelity, Hong-Ou-Mandel quantum interference between independent photon sources with visibility, two-qubit fusion with fidelity, and a chip-to-chip qubit interconnect with fidelity, not accounting for loss. In addition, we preview a selection of next generation technologies, demonstrating low-loss silicon…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Optical Network Technologies · Photonic and Optical Devices
