Indirect measurements in quantum reservoir computing improve execution time scaling, overall performance, and memory capacity over projective measurements and classical feedback methods.
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Hadamard states exhibit higher average multipartite entanglement than Haar-typical states via purity of balanced bipartitions, with hypergraph states (real alternating-sign coefficients) being especially promising for maximal entanglement due to simplicity and sampling likelihood.
Gaussian pump and quasi-phase-matching shaping in SPDC sources yields unfiltered photons with spectral purity upper bound 99.9272(6)% and two-photon interference visibilities up to 98.5(8)%.
Noise in lattice-based cryptography fails to erase information permanently, so quantum error correction and learning can extract secrets, making unconditional post-quantum security claims premature.
Connected tree topology supports larger user capacity under decoherence than lattice for entanglement distribution and shows better QKD robustness.
citing papers explorer
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Harnessing quantum back-action for time-series processing
Indirect measurements in quantum reservoir computing improve execution time scaling, overall performance, and memory capacity over projective measurements and classical feedback methods.
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Multipartite entanglement of random states of qubits
Hadamard states exhibit higher average multipartite entanglement than Haar-typical states via purity of balanced bipartitions, with hypergraph states (real alternating-sign coefficients) being especially promising for maximal entanglement due to simplicity and sampling likelihood.
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Optimised spectral purity of unfiltered photons via pump and nonlinearity shaping
Gaussian pump and quasi-phase-matching shaping in SPDC sources yields unfiltered photons with spectral purity upper bound 99.9272(6)% and two-photon interference visibilities up to 98.5(8)%.
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Fundamental Limitations of Post-Quantum Cryptographic Architectures
Noise in lattice-based cryptography fails to erase information permanently, so quantum error correction and learning can extract secrets, making unconditional post-quantum security claims premature.
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Scaling Network Topologies for Multi-User Entanglement Distribution
Connected tree topology supports larger user capacity under decoherence than lattice for entanglement distribution and shows better QKD robustness.