5 citations · 8 across the 12 of their papers we have counts for
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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…