DeepQuantum is a PyTorch platform that unifies quantum circuits, photonic quantum circuits, and measurement-based quantum computing in one open-source framework for hybrid models and variational algorithms.
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Optimizing temporal weights from shot and electronic noise autocorrelations via a generalized Rayleigh quotient increases SNR and observed squeezing in ultrafast homodyne detection.
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DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
DeepQuantum is a PyTorch platform that unifies quantum circuits, photonic quantum circuits, and measurement-based quantum computing in one open-source framework for hybrid models and variational algorithms.
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Efficient ultrafast homodyne detection of quantum light
Optimizing temporal weights from shot and electronic noise autocorrelations via a generalized Rayleigh quotient increases SNR and observed squeezing in ultrafast homodyne detection.