A programmable silicon photonic chip excited with single photons implements quantum reservoir computing for quantum state tomography, entanglement measurement via negativity, and classical tasks, with an imperfection mitigation technique that improves accuracy over the classical regime.
Quantum computational advantage with a programmable photonic processor , volume =
7 Pith papers cite this work, alongside 1,015 external citations. Polarity classification is still indexing.
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Ultralow-loss Si3N4 PICs generate path-encoded EPR pairs (F=0.9875) and fuse them into four-photon GHZ states at F=0.943(8) and 27 Hz—two orders of magnitude above prior silicon-photonic rates.
Displaced GBS enhances max-clique search success under loss or low squeezing and scales to large graphs with modest overhead.
In finite-depth random linear optical circuits, entanglement grows at most diffusively and robust circuit complexity scales similarly, with depth bounds ensuring near-maximal subsystem entanglement and closeness to Haar unitaries.
A survey of nine QHPC stacks identifies common design patterns and proposes the openQSE reference architecture to unify interfaces across runtime, resource management, and orchestration layers.
Educational modules and Qibo implementations for simulating Bell inequality violations to teach entanglement, hidden variables, and non-locality.
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
citing papers explorer
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Quantum and classical processing with photonic quantum machine learning
A programmable silicon photonic chip excited with single photons implements quantum reservoir computing for quantum state tomography, entanglement measurement via negativity, and classical tasks, with an imperfection mitigation technique that improves accuracy over the classical regime.
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An ultralow-loss integrated photonic platform for discrete-variable quantum information processing
Ultralow-loss Si3N4 PICs generate path-encoded EPR pairs (F=0.9875) and fuse them into four-photon GHZ states at F=0.943(8) and 27 Hz—two orders of magnitude above prior silicon-photonic rates.
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Displaced Gaussian Boson Sampling for enhanced max-clique search
Displaced GBS enhances max-clique search success under loss or low squeezing and scales to large graphs with modest overhead.
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Entanglement and circuit complexity in finite-depth random linear optical networks
In finite-depth random linear optical circuits, entanglement grows at most diffusively and robust circuit complexity scales similarly, with depth bounds ensuring near-maximal subsystem entanglement and closeness to Haar unitaries.
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Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey
A survey of nine QHPC stacks identifies common design patterns and proposes the openQSE reference architecture to unify interfaces across runtime, resource management, and orchestration layers.
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Simulating Bell inequalities with Qibo
Educational modules and Qibo implementations for simulating Bell inequality violations to teach entanglement, hidden variables, and non-locality.
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The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.