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QuTech Team Solves Lattice Gauge Theory With Constrained Neural Network
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QuTech Team Solves Lattice Gauge Theory With Constrained Neural Network
Researchers at QuTech and ETH Zürich are exploring neural networks, designed with specific physical constraints, as a method to overcome the computational limitations hindering a deeper understanding of quantum mechanics. This approach successfully tackled a complex particle physics problem, lattice gauge theory, by enabling the network to focus on physically relevant features and efficiently identify the lowest energy quantum state.
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