4 papers · 1 filter
Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space
Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah +1
Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understandi…
Unified evolutionary optimization for high-fidelity spin qubit operations
Sam R. Katiraee-Far, Yuta Matsumoto, Brennan Undseth +9
Developing optimal strategies to calibrate quantum processors for high-fidelity operation is one of the outstanding challenges in quantum computing today. Here, we demonstrate mult…
Exploring Biological Neuronal Correlations with Quantum Generative Models
Vinicius Hernandes, Eliska Greplova
Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural…
Mutual information fluctuations and non-stabilizerness in random circuits
Arash Ahmadi, Jonas Helsen, Cagan Karaca +1
The emergence of quantum technologies has brought much attention to the characterization of quantum resources as well as the classical simulatability of quantum processes. Quantum…