2 papers
quant-ph2026
Learning ground state observables from quantum computing experiments
Ben Jaderberg, Freya Shah, Minjun Jeon +3
Recent theoretical progress has established conditions under which machine learning models can efficiently predict ground-state properties of gapped local Hamiltonians when trained…
quant-ph2024
Dynamic parameterized quantum circuits: expressive and barren-plateau free
Abhinav Deshpande, Marcel Hinsche, Khadijeh Najafi +3
Classical optimization of parameterized quantum circuits is a widely studied methodology for the preparation of complex quantum states, as well as the solution of machine learning…