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Functional Renormalization Group Approach to Circuit Quantum Electrodynamics
Takeru Yokota, Kanta Masuki, Yuto Ashida
A nonperturbative approach is developed to analyze superconducting circuits coupled to quantized electromagnetic continuum within the framework of the functional renormalization gr…
Deep reinforcement learning for preparation of thermal and prethermal quantum states
Shotaro Z. Baba, Nobuyuki Yoshioka, Yuto Ashida +1
We propose a method based on deep reinforcement learning that efficiently prepares a quantum many-body pure state in thermal or prethermal equilibrium. The main physical intuition…
Machine-learning-enhanced quantum sensors for accurate magnetic field imaging
Moeta Tsukamoto, Shuji Ito, Kensuke Ogawa +3
Local detection of magnetic fields is crucial for characterizing nano- and micro-materials and has been implemented using various scanning techniques or even diamond quantum sensor…