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quant-ph2023★ 8 cited
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi, Joe Gibbs, Manuel S. Rudolph +4
Quantum process learning is emerging as an important tool to study quantum systems. While studied extensively in coherent frameworks, where the target and model system can share qu…
quant-ph2021★ 55 cited
Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo
Enrico Rinaldi, Xizhi Han, Mohammad Hassan +4
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black holes. Understanding quantum black holes and the r…