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Explores the applications and challenges of Neural Quantum States in computational quantum science, including frustrated spins and quantum chemistry mappings.
Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.
Covers Markov chain Monte Carlo and neural networks' role in quantum states representation and ground state approximation for frustrated spins systems.
