Focusing on random instances of MAX-2-SAT, we test our predictive model against simulated data with up to 15 qubits.
no code implementations • 21 Dec 2020 • Ji-Cheng Zhang, Xiao-Feng Wang, Jun Mo, Gao-Bo Xi, Jie Lin, Xiao-Jun Jiang, Xiao-Ming Zhang, Wen-Xiong Li, Sheng-Yu Yan, Zhi-Hao Chen, Lei Hu, Xue Li, Wei-Li Lin, Han Lin, Cheng Miao, Li-Ming Rui, Han-Na Sai, Dan-Feng Xiang, Xing-Han Zhang
The TMTS system can have a FoV of about 9 deg2 when monitoring the sky with two bands (i. e., SDSS g and r filters) at the same time, and a maximum FoV of ~18 deg2 when four telescopes monitor different sky areas in monochromatic filter mode.
Instrumentation and Methods for Astrophysics
In this work, we perform a comparative study on the efficacy of three reinforcement learning algorithms: tabular Q-learning, deep Q-learning, and policy gradient, as well as two non-machine-learning methods: stochastic gradient descent and Krotov algorithms, in the problem of preparing a desired quantum state.
Extensive experiments are conducted to investigate the effectiveness of our approach in the applications of multi-label classification and cross-modal search.