From the 3 of 13 linked papers with an AI index.
13 papers
Slepian Bounds on the Success Probability of Virtual Distillation
Masayuki Ohzeki, Sasuke Kimata, Xinwei Lee +1
Virtual distillation is a powerful near-term error-mitigation primitive, but it is also a spectral filter: it amplifies the dominant eigenvector component already present in the no…
CVaR-Assisted Custom Penalty Function for Constrained Optimization
Xin Wei Lee, Hoong Chuin Lau
The paper introduces a slack‑free, nonlinear penalty function for constrained binary optimization and combines it with a CVaR‑based objective to improve the performance of quantum…
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…
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…