3 citations · 4 across the 12 of their papers we have counts for
3 papers · 1 filter
Learning with springs and sticks
Luis Mantilla Calderón, Alán Aspuru-Guzik
Learning is a physical process. Here, we aim to study a simple dynamical system composed of springs and sticks capable of arbitrarily approximating any continuous function. The mai…
Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays
Kouhei Nakaji, Jonathan Wurtz, Haozhe Huang +4
We introduce the "quantum circuit daemon" (QC-Daemon), a reinforcement learning agent for compiling quantum device operations aimed at efficient quantum hardware execution. We appl…
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
Shunya Minami, Kouhei Nakaji, Yohichi Suzuki +2
Quantum computing is entering a transformative phase with the emergence of logical quantum processors, which hold the potential to tackle complex problems beyond classical capabili…