Fisher Information in Noisy Intermediate-Scale Quantum Applications

Geometric distinguishability measures limit quantum channel estimation and discrimination

(2021) Vishal Katariya et al.   Quantum Information Processing

Using Quantum Metrological Bounds in Quantum Error Correction: A Simple Proof of the Approximate Eastin-Knill Theorem

(2021) Aleksander Kubica et al.   PHYSICAL REVIEW LETTERS

Incorporating Heisenberg’s Uncertainty Principle into Quantum Multiparameter Estimation

(2021) Xiao-Ming Lu et al.   PHYSICAL REVIEW LETTERS

Sub-quantum Fisher information

(2021) Marco Cerezo et al.   Quantum Science and Technology

Incompatibility in quantum parameter estimation

(2021) Federico Belliardo et al.   NEW JOURNAL OF PHYSICS

A variational toolbox for quantum multi-parameter estimation

(2021) Johannes Jakob Meyer et al.   npj Quantum Information

A perspective on multiparameter quantum metrology: From theoretical tools to applications in quantum imaging

(2020) F. Albarelli et al.   PHYSICS LETTERS A

Multi-parameter estimation beyond Quantum Fisher Information

(2020) Rafal Demkowicz-Dobrzanski et al.   Journal of Physics A-Mathematical and Theoretical

Variational-State Quantum Metrology

(2020) Bálint Koczor et al.   NEW JOURNAL OF PHYSICS

Predicting many properties of a quantum system from very few measurements

(2020) Hsin-Yuan Huang et al.   Nature Physics

Quantum Semiparametric Estimation

(2020) Mankei Tsang et al.   Physical Review X

Quantum Natural Gradient

(2020) James Stokes et al.   Quantum

Optimal probes and error-correction schemes in multi-parameter quantum metrology

(2020) Wojciech Górecki et al.   Quantum

Optimal Universal Programming of Unitary Gates

(2020) Yuxiang Yang et al.   PHYSICAL REVIEW LETTERS

Supervised learning with quantum-enhanced feature spaces

(2019) Vojtěch Havlíček et al.   NATURE

Quantum resource theories

(2019) Eric Chitambar et al.   REVIEWS OF MODERN PHYSICS

Quantum supremacy using a programmable superconducting processor

(2019) Frank Arute et al.   NATURE

Parameterized quantum circuits as machine learning models

(2019) Marcello Benedetti et al.   Quantum Science and Technology

On the discontinuity of the quantum Fisher information for quantum statistical models with parameter dependent rank

(2019) Luigi Seveso et al.   Journal of Physics A-Mathematical and Theoretical

Quantum Fisher information matrix and multiparameter estimation

(2019) Jing Liu et al.   Journal of Physics A-Mathematical and Theoretical

Variational Spin-Squeezing Algorithms on Programmable Quantum Sensors

(2019) Raphael Kaubruegger et al.   PHYSICAL REVIEW LETTERS

Machine-Learning Quantum States in the NISQ Era

(2019) Giacomo Torlai et al.   Annual Review of Condensed Matter Physics

Relating Out-of-Time-Order Correlations to Entanglement via Multiple-Quantum Coherences

(2018) Martin Gärttner et al.   PHYSICAL REVIEW LETTERS

Achieving the Heisenberg limit in quantum metrology using quantum error correction

(2018) Sisi Zhou et al.   Nature Communications

Witnessing Multipartite Entanglement by Detecting Asymmetry

(2017) Davide Girolami et al.   Entropy

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Optimal Measurements for Simultaneous Quantum Estimation of Multiple Phases

(2017) Luca Pezzè et al.   PHYSICAL REVIEW LETTERS

The theory of variational hybrid quantum-classical algorithms

(2016) Jarrod R McClean et al.   NEW JOURNAL OF PHYSICS

Generalized Geometric Quantum Speed Limits

(2016) Diego Paiva Pires et al.   Physical Review X

An introduction to quantum machine learning

(2014) Maria Schuld et al.   CONTEMPORARY PHYSICS

Fidelity susceptibility and quantum Fisher information for density operators with arbitrary ranks

(2014) Jing Liu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A scalable maximum likelihood method for quantum state tomography

(2013) T Baumgratz et al.   NEW JOURNAL OF PHYSICS

The elusive Heisenberg limit in quantum-enhanced metrology

(2012) Rafał Demkowicz-Dobrzański et al.   Nature Communications