366 citations · 1.1k across the 28 of their papers we have counts for
30 papers
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…
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond
The past decade has witnessed significant advancements in quantum hardware, encompassing improvements in speed, qubit quantity, and quantum volume-a metric defining the maximum siz…
Quantum-Relaxation Based Optimization Algorithms: Theoretical Extensions
Kosei Teramoto, Rudy Raymond, Eyuri Wakakuwa +1
Quantum Random Access Optimizer (QRAO) is a quantum-relaxation based optimization algorithm proposed by Fuller et al. that utilizes Quantum Random Access Code (QRAC) to encode mult…
Optimal Parameter Configurations for Sequential Optimization of Variational Quantum Eigensolver
Katsuhiro Endo, Yuki Sato, Rudy Raymond +3
Variational Quantum Eigensolver (VQE) is a hybrid algorithm for finding the minimum eigenvalue/vector of a given Hamiltonian by optimizing a parametrized quantum circuit (PQC) usin…
Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
Yuki Sato, Hiroshi C. Watanabe, Rudy Raymond +5
Generalized eigenvalue problems (GEPs) play an important role in the variety of fields including engineering, machine learning and quantum chemistry. Especially, many problems in t…