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quant-ph2025
Optimizing Temperature Distributions for Training Neural Quantum States using Parallel Tempering
Conor Smith, Quinn T. Campbell, Tameem Albash
Parameterized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonian…
quant-ph2025
Roadmap on Atomic-scale Semiconductor Devices
Steven R. Schofield, Andrew J. Fisher, Eran Ginossar +47
Spin states in semiconductors provide exceptionally stable and noise-resistant environments for qubits, positioning them as optimal candidates for reliable quantum computing techno…