5 citations · 8 across the 12 of their papers we have counts for
12 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…
Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions
Monit Sharma, Hoong Chuin Lau
Maritime disruption planning requires joint strategic storage and transport capacity decisions under uncertainty. We develop a two-stage stochastic multi-commodity network-design m…
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…
AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization
Monit Sharma, Hoong Chuin Lau
Configuring variational quantum algorithms for combinatorial optimization remains a difficult, expert-driven process requiring coordinated choices over solver family, ansatz, objec…
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…
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…
Cutting Slack: Quantum Optimization with Slack-Free Methods for Combinatorial Benchmarks
Monit Sharma, Hoong Chuin Lau
Constraint handling remains a key bottleneck in quantum combinatorial optimization. While slack-variable-based encodings are straightforward, they significantly increase qubit coun…
Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
Monit Sharma, Hoong Chuin Lau
A range of quantum algorithms, especially those leveraging variational parameterization and circuit-based optimization, are being studied as alternatives for solving classically in…
A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems
Monit Sharma, Hoong Chuin Lau
Quantum optimization holds promise for addressing classically intractable combinatorial problems, yet a standardized framework for benchmarking its performance, particularly in ter…
Quantum Monte Carlo methods for Newsvendor problem with Multiple Unreliable Suppliers
Monit Sharma, Hoong Chuin Lau
In the post-pandemic world, manufacturing enterprises face increasing uncertainties, especially with vulnerabilities in global supply chains. Although supply chain management has b…
Quantum Relaxation for Solving Multiple Knapsack Problems
Monit Sharma, Yan Jin, Hoong Chuin Lau +1
Combinatorial problems are a common challenge in business, requiring finding optimal solutions under specified constraints. While significant progress has been made with variationa…
Quantum-Enhanced Simulation-Based Optimization for Newsvendor Problems
Monit Sharma, Hoong Chuin Lau, Rudy Raymond
Simulation-based optimization is a widely used method to solve stochastic optimization problems. This method aims to identify an optimal solution by maximizing the expected value o…