Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:1703.04203 · Science China Physics Mechanics and Astronomy

Multi-objective optimization in quantum parameter estimation

Beili Gong, Wei Cui

Published Jan 22, 2018• 8 citations
arXivHTMLPDF
DOI
10.1007/s11433-017-9139-6

Related papers

Multi-channel quantum parameter estimation

Liying Bao, Bo Qi, Yabo Wang +2 more

Science China Information Sciences•Jun 16, 2022•7 citations

Improving the balance of trade-offs in multi-objective optimization with quantum computing

V. Akshay, Mile Gu

Nature Computational Science•Dec 16, 2025•0 citations

A quantum multi-objective optimization algorithm based on harmony search method

Alireza Sadeghi Hesar, Seyed Reza Kamel, Mahboobeh Houshmand

Soft Computing•Apr 25, 2021•23 citations

Improving Quantum Multi-Objective Optimization with Archiving and Substitution

Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig +3 more

Lecture notes in computer science•Jan 1, 2026•0 citations

Optimal Quantum Metrology of Distant Black Bodies

Pearce, M.E., Earl T. Campbell, Kok, P.

Measurements of an object's temperature are important in many disciplines, from astronomy to engineering, as are estimates of an object's spatial configuration. We present the quantum optimal estimator for the temperature of a distant body based on the black body radiation received in the far-field. We also show how to perform separable quantum optimal estimates of the spatial configuration of a distant object, i.e. imaging. In doing so we necessarily deal with multi-parameter quantum estimation of incompatible observables, a problem that is poorly understood. We compare our optimal observables to the two mode analogue of lensed imaging and find that the latter is far from optimal, even when compared to measurements which are separable. To prove the optimality of the estimators we show that they minimise the cost function weighted by the quantum Fisher information---this is equivalent to maximising the average fidelity between the actual state and the estimated one.

•Jul 26, 2017•20 citations

Optimal quantum metrology of distant black bodies

Mark E. Pearce, Earl T. Campbell, Pieter Kok

Measurements of an object's temperature are important in many disciplines, from astronomy to engineering, as are estimates of an object's spatial configuration. We present the quantum optimal estimator for the temperature of a distant body based on the black body radiation received in the far-field. We also show how to perform separable quantum optimal estimates of the spatial configuration of a distant object, i.e. imaging. In doing so we necessarily deal with multi-parameter quantum estimation of incompatible observables, a problem that is poorly understood. We compare our optimal observables to the two mode analogue of lensed imaging and find that the latter is far from optimal, even when compared to measurements which are separable. To prove the optimality of the estimators we show that they minimise the cost function weighted by the quantum Fisher information---this is equivalent to maximising the average fidelity between the actual state and the estimated one.

arXiv:1612.04828•Quantum•Jul 26, 2017•26 citations
Measurements of an object's temperature are important in many disciplines, from astronomy to engineering, as are estimates of an object's spatial configuration. We present the quantum optimal estimator for the temperature of a distant body based on the black body radiation received in the far-field. We also show how to perform separable quantum optimal estimates of the spatial configuration of a distant object, i.e. imaging. In doing so we necessarily deal with multi-parameter quantum estimation of incompatible observables, a problem that is poorly understood. We compare our optimal observables to the two mode analogue of lensed imaging and find that the latter is far from optimal, even when compared to measurements which are separable. To prove the optimality of the estimators we show that they minimise the cost function weighted by the quantum Fisher information---this is equivalent to maximising the average fidelity between the actual state and the estimated one.
Measurements of an object's temperature are important in many disciplines, from astronomy to engineering, as are estimates of an object's spatial configuration. We present the quantum optimal estimator for the temperature of a distant body based on the black body radiation received in the far-field. We also show how to perform separable quantum optimal estimates of the spatial configuration of a distant object, i.e. imaging. In doing so we necessarily deal with multi-parameter quantum estimation of incompatible observables, a problem that is poorly understood. We compare our optimal observables to the two mode analogue of lensed imaging and find that the latter is far from optimal, even when compared to measurements which are separable. To prove the optimality of the estimators we show that they minimise the cost function weighted by the quantum Fisher information---this is equivalent to maximising the average fidelity between the actual state and the estimated one.