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quant-ph2024★ 9 cited
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
quant-ph2024★ 7 cited
Fault-tolerant compiling of classically hard IQP circuits on hypercubes
Dominik Hangleiter, Marcin Kalinowski, Dolev Bluvstein +6
Realizing computationally complex quantum circuits in the presence of noise and imperfections is a challenging task. While fault-tolerant quantum computing provides a route to redu…