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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…
A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem
Ningyi Xie, Xinwei Lee, Dongsheng Cai +3
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that arises in various fields including transportation and logistics. The CVRP extends from the V…