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Found 4 papers, 1 papers with code
Digital-analog quantum learning on Rydberg atom arrays
We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the rapidly scaling architectures of neutral atoms.
Enhancing Generative Models via Quantum Correlations
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning.
Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices
We provide an in-depth study of the performance of QAOA on MaxCut problems by developing an efficient parameter-optimization procedure and revealing its ability to exploit non-adiabatic operations.
Quantum Physics Disordered Systems and Neural Networks Statistical Mechanics
Hopf insulators and their topologically protected surface states
Three-dimensional (3D) topological insulators in general need to be protected by certain kinds of symmetries other than the presumed U(1) charge conservation.
