3 papers
quant-ph2025
Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative
Cassandre Notton, Vassilis Apostolou, Agathe Senellart +28
The Perceval Challenge is an open, reproducible benchmark designed to assess the potential of photonic quantum computing for machine learning. Focusing on a reduced and hardware-fe…
cs.LG2025
Generative-enhanced optimization for knapsack problems: an industry-relevant study
Yelyzaveta Vodovozova, Abhishek Awasthi, Caitlin Jones +4
Optimization is a crucial task in various industries such as logistics, aviation, manufacturing, chemical, pharmaceutical, and insurance, where finding the best solution to a probl…
cs.LG2024
Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces
Danylo Kolesnyk, Yelyzaveta Vodovozova
Modern approaches to generative modeling of continuous data using tensor networks incorporate compression layers to capture the most meaningful features of high-dimensional inputs.…