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Recent advances in materials, control, and nanofabrication now open the prospect for scalable quantum technologies based on solid-state quantum systems. In particular, photonic integrated circuits (PICs) now allow routing photons with high precision and low loss, and solid-state artificial atoms provide high-quality spin-photon interfaces. The first part of this talk will review progress towards quantum memory-integrated PICs for quantum networks and modular quantum computers. The second part of the talk will consider new directions for processing classical and quantum information in deep learning neural networks architectures.
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Dirk R. Englund, "Large-scale quantum photonics for computing and communications," Proc. SPIE 11918, Photonics for Quantum 2020, 119180H (27 August 2021); https://doi.org/10.1117/12.2611203