3 papers
eess.SP2026
Grover's Search-Inspired Quantum Reinforcement Learning for Massive MIMO User Scheduling
Ruining Fan, Xingyu Huang, Mouli Chakraborty +2
The efficient user scheduling policy in the massive Multiple Input Multiple Output (mMIMO) system remains a significant challenge in the field of 5G and Beyond 5G (B5G) due to its…
eess.SY2025
Quantum Computing for EVs to Enhance Grid Resilience and Disaster Relief: Challenges and Opportunities
Tyler Christeson, Amin Khodaei, Rui Fan
The power grid is the foundation of modern society, however extreme weather events have increasingly caused widespread outages. Enhancing grid resilience is therefore critical to m…
eess.SY2025
Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem
Tyler Christeson, Md Habib Ullah, Ali Arabnya +2
Resource scheduling is critical in many industries, especially in power systems. The Unit Commitment problem determines the on/off status and output levels of generators under many…