activity
20202026
most citedNeural-network-based parameter estimation for quantum detection

14 citations · 27 across the 8 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Open Quantum Systems

Erik Torrontegui, Ricardo Puebla

Open quantum systems describe quantum systems that interact unavoidably with their environments. These notes introduce the physical origins of decoherence and dissipation in realis…

quant-ph2026

Emission and Absorption of Microwave Photons in Orthogonal Temporal Modes across a 30-Meter Two-Node Network

Alonso Hernández-Antón, Josua D. Schär, Aleksandr Grigorev +6

The tunable interaction between stationary quantum bits and propagating modes of light allows for the encoding of quantum information in the state of itinerant photons. This abilit…

quant-ph2026

Quantum metrological advantage of high-order squeezed states

Rubén Gordillo-Hachuel, Erik Torrontegui, Cristina de Dios +1

Quantum correlations can be harnessed to improve the precision in parameter estimation beyond classical capabilities. Under a standard interferometric or rotation protocol, it is w…

quant-ph2025

Microwave-free vector magnetometry and crystal orientation determination with Nitrogen-Vacancy centers using Bayesian inference

Hilario Espinós, Omkar Dhungel, Arne Wickenbrock +3

Nitrogen-vacancy (NV) centers in diamond provide a solid-state platform for quantum sensing. While optically detected magnetic resonance techniques offer high sensitivity, their re…

quant-ph2023

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…

quant-ph2023★ 1 cited

Control of open quantum systems via dynamical invariants

Loris Maria Cangemi, Hilario Espinós, Ricardo Puebla +2

In this study, we address the challenge of controlling quantum systems under environmental influences using the theory of dynamical invariants. We employ a reverse engineering appr…

quant-ph2023

Invariant-based control of quantum many-body systems across critical points

Hilario Espinós, Loris Maria Cangemi, Amikam Levy +2

Quantum many-body systems are emerging as key elements in the quest for quantum-based technologies and in the study of fundamental physics. In this study, we address the challenge…

quant-ph2023★ 1 cited

Amplified Nanoscale Detection of Labelled Molecules via Surface Electrons on Diamond

A. Biteri-Uribarren, P. Alsina-Bolívar, C. Munuera-Javaloy +2

The detection of individual molecules and their dynamics has been a long-standing challenge in the field of nanotechnology. In this work, we present a method that utilizes a nitrog…

quant-ph2020★ 14 cited

Neural-network-based parameter estimation for quantum detection

Yue Ban, Javier Echanobe, Yongcheng Ding +2

Artificial neural networks bridge input data into output results by approximately encoding the function that relates them. This is achieved after training the network with a collec…

quant-ph2020★ 11 cited

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…