39 citations · 73 across the 5 of their papers we have counts for
16 papers · 1 filter
Dynamical decoupling methods in nanoscale NMR
C. Munuera-Javaloy, R. Puebla, J. Casanova
Nuclear magnetic resonance (NMR) schemes can be applied to micron-, and nanometer-sized samples by the aid of quantum sensors such as nitrogen-vacancy (NV) color centers in diamond…
Experimentally Realizing Efficient Quantum Control with Reinforcement Learning
Ming-Zhong Ai, Yongcheng Ding, Yue Ban +7
Robust and high-precision quantum control is crucial but challenging for scalable quantum computation and quantum information processing. Traditional adiabatic control suffers seve…
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…
Breaking Adiabatic Quantum Control with Deep Learning
Yongcheng Ding, Yue Ban, José D. Martín-Guerrero +3
In the era of digital quantum computing, optimal digitized pulses are requisite for efficient quantum control. This goal is translated into dynamic programming, in which a deep rei…
Phase-adaptive dynamical decoupling methods for robust spin-spin dynamics in trapped ions
Lijuan Dong, Iñigo Arrazola, Xi Chen +1
Quantum platforms based on trapped ions are main candidates to build a quantum hardware with computational capacities that largely surpass those of classical devices. Among the ava…
Robust Detection of High-Frequency Signals at the Nanoscale
Carlos Munuera-Javaloy, Yue Ban, Xi Chen +1
We present a method relying on shortcuts to adiabaticity to achieve quantum detection of high frequency signals at the nanoscale in a robust manner. More specifically, our protocol…