Related Issues and Conclusions

Manisha Khulbe, Harish Parthasarathy

Martin Greiter

F. Frémont

Zhen Wang, Weicheng Fu, Yong Zhang +1 more

Whether Anderson localization is robust against many-body interactions and, closely related, whether a disordered many-body system can be thermalized are long outstanding issues. In this Letter, we address these issues with the wave-turbulence theory. We show that, in general, the thermalization time in one-dimensional disordered lattice systems is inversely proportional to the squared interaction strength in the thermodynamic limit. It leads to the conclusion that such systems can always be thermalized by arbitrarily weak many-body interactions and thus the localized states are unstable.

Chunlin Chen, Daoyi Dong, Yu Dong +1 more

In this paper, a quantum reinforcement learning method is proposed for repeated game theory. First, the quantum reinforcement learning algorithm is introduced based on quantum state superposition principle and its superiority is analyzed. Then, it is applied to repeated games and the experiments show its effectiveness. Related issues are also discussed before the conclusion is given

Tofigh Allahviranloo, Sovan Samanta, Prasenjit Mandal +1 more