9 citations · 9 across the 1 of their papers we have counts for
3 papers · 1 filter
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…
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…
Logical quantum processor based on reconfigurable atom arrays
Dolev Bluvstein, Simon J. Evered, Alexandra A. Geim +18
Suppressing errors is the central challenge for useful quantum computing, requiring quantum error correction for large-scale processing. However, the overhead in the realization of…