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Quantum Sampling Algorithms for Near-Term Devices
Efficient sampling from a classical Gibbs distribution is an important computational problem with applications ranging from statistical physics over Monte Carlo and optimization algorithms to machine learning.
Quantum Physics Statistical Mechanics
Near-Term Quantum-Classical Associative Adversarial Networks
We introduce a new hybrid quantum-classical adversarial machine learning architecture called a quantum-classical associative adversarial network (QAAN).
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