3 papers
quant-ph2026
Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization
Anthony Wilkie, Alexander DeLise, Andrew Del Real +2
Constrained combinatorial optimization remains challenging for quantum algorithms because feasibility must be explicitly enforced, typically through penalty terms or problem-specif…
cs.LG2026
Active Learning for Conditional Generative Compressed Sensing
Alexander DeLise, Nick Dexter
Generative compressed sensing uses the range of a pretrained generator as a nonlinear model for recovering structured signals from limited measurements. We study a conditional vers…
cs.LG2025
Optimal Linear Baseline Models for Scientific Machine Learning
Alexander DeLise, Kyle Loh, Krish Patel +3
Across scientific domains, a fundamental challenge is to characterize and compute the mappings from underlying physical processes to observed signals and measurements. While nonlin…