An NEGF-based framework formulates impact ionization as a multi-particle self-energy to enable energy-resolved, non-perturbative modeling of carrier multiplication in nanoscale avalanche devices for quantum applications.
Quantum cryptography: Public key distribution and coin tossing
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An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.
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NEGF Modeling of Impact Ionization in Semiconductor Avalanche Photodiodes for Quantum Networking
An NEGF-based framework formulates impact ionization as a multi-particle self-energy to enable energy-resolved, non-perturbative modeling of carrier multiplication in nanoscale avalanche devices for quantum applications.
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End-to-End Neural and Quantum Transcoding for Compressed Latent Representation under Channel Noise
An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.