2 papers
quant-ph2026
Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. RiofrÃo
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limit…
quant-ph2026
No-cost Bell nonlocality certification from quantum tomography and its applications in quantum-magic-resource witnessing
Pawel Cieslinski, Lukas Knips, Harald Weinfurter +1
Tomographic measurements are the standard tool for characterizing quantum states, yet they are usually regarded only as means for state reconstruction or fidelity measurement. Here…