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quant-ph2025
Conditioning in Generative Quantum Denoising Diffusion Models
Daniel Quinn, Lorenzo Buffoni, Stefano Gherardini +1
Quantum denoising diffusion models have recently emerged as a powerful framework for generative quantum machine learning. In this work, we extend these models by introducing a cond…
quant-ph2025
Orthogonalization speed-up from quantum coherence after a sudden quench
Beatrice Donelli, Gabriele De Chiara, Francesco Scazza +1
We introduce a nonequilibrium phenomenon, reminiscent of Anderson's orthogonality catastrophe (OC), that arises in the transient dynamics following an interaction quench between a…