11 citations · 15 across the 5 of their papers we have counts for
5 papers
Physics-Informed Neural Networks for Maximizing Quantum Fisher Information in Time-Dependent Many-Body Systems
Antonio Ferrer-Sánchez, Yolanda Vives-Gilabert, Yue Ban +2
Quantum Fisher Information (QFI) sets the ultimate precision limit for parameter estimation and is therefore a central quantity in quantum metrology. In time-dependent many-body sy…
Classical counterparts of shortcuts to adiabaticity in nonlinear dissipative Lagrangian systems
Jincheng Shi, Yicheng Pan, Yue Ban +1
Shortcuts to adiabaticity (STA) were first developed in quantum dynamics to realize rapid transformations with suppressed residual excitations. Here we show how the same idea can b…
Regressions on quantum neural networks at maximal expressivity
Iván Panadero, Yue Ban, Hilario Espinós +3
We analyze the expressivity of a universal deep neural network that can be organized as a series of nested qubit rotations, accomplished by adjustable data re-uploads. While the ma…
Automatic Detection of Nuclear Spins at Arbitrary Magnetic Fields via Signal-to-Image AI Model
B. Varona-Uriarte, C. Munuera-Javaloy, E. Terradillos +4
Quantum sensors leverage matter's quantum properties to enable measurements with unprecedented spatial and spectral resolution. Among these sensors, those utilizing nitrogen-vacanc…
Versatile Atomic Magnetometry Assisted by Bayesian Inference
R. Puebla, Y. Ban, J. F. Haase +3
Quantum sensors typically translate external fields into a periodic response whose frequency is then determined by analyses performed in Fourier space. This allows for a linear inf…