Fast High-Fidelity Readout of a Single Trapped-Ion Qubit via Machine-Learning Methods

Machine learning assisted readout of trapped-ion qubits

(2018) Alireza Seif et al.   JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS

Alpha–Gamma Discrimination in BaF2 Using FPGA-Based Feedforward Neural Network

(2017) Chenfei Yang et al.   IEEE TRANSACTIONS ON NUCLEAR SCIENCE

Demonstration of a small programmable quantum computer with atomic qubits

(2016) S. Debnath et al.   NATURE

State preservation by repetitive error detection in a superconducting quantum circuit

(2015) J. Kelly et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine Learning for Discriminating Quantum Measurement Trajectories and Improving Readout

(2015) Easwar Magesan et al.   PHYSICAL REVIEW LETTERS

High-Fidelity Preparation, Gates, Memory, and Readout of a Trapped-Ion Quantum Bit

(2014) T. P. Harty et al.   PHYSICAL REVIEW LETTERS

Microwave quantum logic gates for trapped ions

(2011) C. Ospelkaus et al.   NATURE

Artificial neural networks in hardware: A survey of two decades of progress

(2010) Janardan Misra et al.   NEUROCOMPUTING

High-Fidelity Readout of Trapped-Ion Qubits

(2008) A. H. Myerson et al.   PHYSICAL REVIEW LETTERS