Carbon defects in TMD bilayers are computationally shown to enable room-temperature defect-mediated quantum emission at telecom wavelengths with material-dependent optical fingerprints.
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A learnable Gaussian basis transformation lowers variational energies in neural-network variational Monte Carlo for the three-dimensional homogeneous electron gas.
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Quantum Emitters at Telecommunication Wavelengths based on Carbon Defects in Transition Metal Dichalcogenides
Carbon defects in TMD bilayers are computationally shown to enable room-temperature defect-mediated quantum emission at telecom wavelengths with material-dependent optical fingerprints.
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Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
A learnable Gaussian basis transformation lowers variational energies in neural-network variational Monte Carlo for the three-dimensional homogeneous electron gas.