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quant-ph2026
Towards unsupervised representation learning for quantum data: quantum models with inference and generation
Robin Lorenz, Eric Brunner, Marcello Benedetti
With quantum sensors, simulators and networks emerging, a future of quantum technology may produce quantum states as data---that is, coherently rather than as classical measurement…
quant-ph2026
Sparsity-dependent Complexity Lower Bound of Quantum Linear System Solvers
Hitomi Mori, Yuta Kikuchi, Marcello Benedetti +1
Quantum linear system (QLS) solvers are a fundamental class of quantum algorithms used in many potential quantum computing applications, including machine learning and solving diff…