4.6 Article

Generalizable control for multiparameter quantum metrology

Related references

Note: Only part of the references are listed.
Article Quantum Science & Technology

Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation

Lukas J. Fiderer et al.

Summary: Quantum metrology faces challenges in practice due to limited resources, but the adaptive Bayesian approach allows efficient resource utilization through adaptive experiment design. Fast numerical solutions for Bayesian updates and adaptive experiment design are crucial for practical success. Neural networks can be trained to develop fast and strong experiment-design heuristics, outperforming established heuristics for important quantum estimation tasks. This method complements existing techniques and forms a comprehensive framework for adaptive quantum estimation.

PRX QUANTUM (2021)

Review Physics, Multidisciplinary

Quantum Fisher information matrix and multiparameter estimation

Jing Liu et al.

JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2020)

Article Physics, Multidisciplinary

Improving the dynamics of quantum sensors with reinforcement learning

Jonas Schuff et al.

NEW JOURNAL OF PHYSICS (2020)

Article Physics, Multidisciplinary

Machine-Designed Sensor to Make Optimal Use of Entanglement-Generating Dynamics for Quantum Sensing

Simon A. Haine et al.

PHYSICAL REVIEW LETTERS (2020)

Article Optics

Quantum adiabatic algorithm design using reinforcement learning

Jian Lin et al.

PHYSICAL REVIEW A (2020)

Article Quantum Science & Technology

Universal quantum control through deep reinforcement learning

Murphy Yuezhen Niu et al.

NPJ QUANTUM INFORMATION (2019)

Article Quantum Science & Technology

Generalizable control for quantum parameter estimation through reinforcement learning

Han Xu et al.

NPJ QUANTUM INFORMATION (2019)

Article Quantum Science & Technology

When does reinforcement learning stand out in quantum control? A comparative study on state preparation

Xiao-Ming Zhang et al.

NPJ QUANTUM INFORMATION (2019)

Article Physics, Multidisciplinary

Maximal Quantum Fisher Information for Mixed States

Lukas J. Fiderer et al.

PHYSICAL REVIEW LETTERS (2019)

Article Physics, Multidisciplinary

Reinforcement Learning in Different Phases of Quantum Control

Marin Bukov et al.

PHYSICAL REVIEW X (2018)

Article Physics, Multidisciplinary

Reinforcement Learning with Neural Networks for Quantum Feedback

Thomas Foesel et al.

PHYSICAL REVIEW X (2018)

Article Physics, Multidisciplinary

Optimal Measurements for Simultaneous Quantum Estimation of Multiple Phases

Luca Pezze et al.

PHYSICAL REVIEW LETTERS (2017)

Article Physics, Multidisciplinary

Quantum sensing

C. L. Degen et al.

REVIEWS OF MODERN PHYSICS (2017)

Article Multidisciplinary Sciences

Optimal adaptive control for quantum metrology with time-dependent Hamiltonians

Shengshi Pang et al.

NATURE COMMUNICATIONS (2017)

Article Quantum Science & Technology

Quantum parameter estimation with general dynamics

Haidong Yuan et al.

NPJ QUANTUM INFORMATION (2017)

Article Optics

Control-enhanced multiparameter quantum estimation

Jing Liu et al.

PHYSICAL REVIEW A (2017)

Article Optics

Quantum parameter estimation with optimal control

Jing Liu et al.

PHYSICAL REVIEW A (2017)

Article Optics

Enhancing sensitivity in quantum metrology by Hamiltonian extensions

Julien Mathieu Elias Fraisse et al.

PHYSICAL REVIEW A (2017)

Article Multidisciplinary Sciences

Mastering the game of Go with deep neural networks and tree search

David Silver et al.

NATURE (2016)

Article Physics, Multidisciplinary

Sequential Feedback Scheme Outperforms the Parallel Scheme for Hamiltonian Parameter Estimation

Haidong Yuan

PHYSICAL REVIEW LETTERS (2016)

Review Physics, Multidisciplinary

Multi-parameter quantum metrology

Magdalena Szczykulska et al.

ADVANCES IN PHYSICS-X (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Physics, Multidisciplinary

Optimal Feedback Scheme and Universal Time Scaling for Hamiltonian Parameter Estimation

Haidong Yuan et al.

PHYSICAL REVIEW LETTERS (2015)

Article Multidisciplinary Sciences

Quantum-enhanced metrology for multiple phase estimation with noise

Jie-Dong Yue et al.

SCIENTIFIC REPORTS (2014)

Article Physics, Multidisciplinary

Quantum Enhanced Multiple Phase Estimation

Peter C. Humphreys et al.

PHYSICAL REVIEW LETTERS (2013)

Article Physics, Multidisciplinary

Preferred measurements: optimality and stability in quantum parameter estimation

Gabriel A. Durkin

NEW JOURNAL OF PHYSICS (2010)

Article Biochemical Research Methods

Optimal control of coupled spin dynamics:: design of NMR pulse sequences by gradient ascent algorithms

N Khaneja et al.

JOURNAL OF MAGNETIC RESONANCE (2005)

Review Physics, Multidisciplinary

NMR techniques for quantum control and computation

LMK Vandersypen et al.

REVIEWS OF MODERN PHYSICS (2004)

Article Optics

Measurement of qubits

DFV James et al.

PHYSICAL REVIEW A (2001)