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quant-ph2025
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…
quant-ph2025
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…
quant-ph2024
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…