2 papers
quant-ph2026
Learning complexity gradually in quantum machine learning models
Erik Recio-Armengol, Franz J. Schreiber, Jens Eisert +1
Quantum machine learning is an emergent field that continues to draw significant interest for its potential to offer improvements over classical algorithms in certain areas. Howeve…
quant-ph2026
Train on classical, deploy on quantum: scaling generative quantum machine learning to a thousand qubits
Erik Recio-Armengol, Shahnawaz Ahmed, Joseph Bowles
We propose an approach to generative quantum machine learning that overcomes the fundamental scaling issues of variational quantum circuits. The core idea is to use a class of gene…