98 citations · 960 across the 51 of their papers we have counts for
7 papers · 1 filter
Neural networks for Bayesian quantum many-body magnetometry
Yue Ban, Jorge Casanova, Ricardo Puebla
Entangled quantum many-body systems can be used as sensors that enable the estimation of parameters with a precision larger than that achievable with ensembles of individual quantu…
Time-Optimal Quantum Driving by Variational Circuit Learning
Tangyou Huang, Yongcheng Ding, Léonce Dupays +4
The simulation of quantum dynamics on a digital quantum computer with parameterized circuits has widespread applications in fundamental and applied physics and chemistry. In this c…
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
Ruilin Liu, Sebastián V. Romero, Izaskun Oregi +3
Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning,and quantum optics. In this article, two ways…
Meta-Learning Digitized-Counterdiabatic Quantum Optimization
Pranav Chandarana, Pablo S. Vieites, Narendra N. Hegade +3
Solving optimization tasks using variational quantum algorithms has emerged as a crucial application of the current noisy intermediate-scale quantum devices. However, these algorit…
Quantum control of hole spin qubits in double quantum dots
D. Fernandez-Fernandez, Y. Ban, G. Platero
Hole spin qubits in semiconductor quantum dots (QDs) are promising candidates for quantum information processing due to their weak hyperfine coupling to nuclear spins, and to the s…
A Neural Network Assisted Yb Quantum Magnetometer
Yan Chen, Yue Ban, Ran He +5
A versatile magnetometer must deliver a readable response when exposed to target fields in a wide range of parameters. In this work, we experimentally demonstrate that the combinat…