9 papers
From Circuits to Hardware: Benchmarking Standard and Qubit-Efficient Quantum Optimization on Real Hardware
Monit Sharma, Hoong Chuin Lau
Despite rapid progress in quantum optimization, broad real-hardware benchmarks comparing multiple algorithmic families across diverse combinatorial problems under a common protocol…
AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization
Monit Sharma, Hoong Chuin Lau
The paper introduces AutoQResearch, a framework that uses large language models to autonomously search for adaptive policies that configure variational quantum algorithms for combi…
Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning
Monit Sharma, Hoong Chuin Lau
Equivariant quantum circuits (EQCs) parameterise reinforcement-learning policies for combinatorial optimisation with a size-independent parameter count, suggesting policies trained…
Securing the Flow: Maritime Energy Resilience under Correlated and Decision-Dependent Disruptions
Monit Sharma, Hoong Chuin Lau
We develop a two-stage stochastic multi-commodity flow model to design a resilient maritime energy supply network under correlated chokepoint disruptions. A planner selects strateg…
Qubit-Scalable CVRP via Lagrangian Knapsack Decomposition and Noise-Aware Quantum Execution
Monit Sharma, Hoong Chuin Lau
Hybrid quantum optimization for vehicle routing faces a practical bottleneck: direct QUBO encodings of CVRP quickly exceed near-term qubit and gate budgets, while quantum evaluatio…
Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem
Monit Sharma, Hoong Chuin Lau
The Capacitated Vehicle Routing Problem (CVRP) is a fundamental NP-hard problem in logistics. Augmented Lagrangian Methods (ALM) for solving CVRP performance depends heavily on wel…