most citedConflict-free joint sampling for preference satisfaction through quantum interference

7 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network

Shun Kotoku, Takatomo Mihana, André Röhm +1

Multi-agent reinforcement learning (MARL) studies crucial principles that are applicable to a variety of fields, including wireless networking and autonomous driving. We propose a…

quant-ph20237 cited

Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk

Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana +3

Quantum walks (QWs) have a property that classical random walks (RWs) do not possess -- the coexistence of linear spreading and localization -- and this property is utilized to imp…

quant-ph2023

Asymmetric quantum decision-making

Honoka Shiratori, Hiroaki Shinkawa, André Röhm +7

Collective decision-making is crucial to information and communication systems. Decision conflicts among agents hinder the maximization of potential utilities of the entire system.…

quant-ph20227 cited

Conflict-free joint sampling for preference satisfaction through quantum interference

Hiroaki Shinkawa, Nicolas Chauvet, André Röhm +4

Collective decision-making is vital for recent information and communications technologies. In our previous research, we mathematically derived conflict-free joint decision-making…

cs.NI20222 cited

Experimental Demonstration of Delay-Bounded Wireless Network Based on Precise Time Synchronization

Haruaki Tanaka, Yusuke Yamasaki, Satoshi Yasuda +5

Low latency and reliable information transfer are highly demanded in fifth generation (5G) and beyond 5G wireless communications. A novel delay-bounded wireless media access contro…