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Relevant bibliographies by topics / Quantum estimation theory

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Academic literature on the topic 'Quantum estimation theory'

Author: Grafiati

Published: 10 March 2023

Last updated: 26 July 2025

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Journal articles on the topic "Quantum estimation theory"

1

Rodríguez-García, Marco A., Isaac Pérez Castillo, and P. Barberis-Blostein. "Efficient qubit phase estimation using adaptive measurements." Quantum 5 (June 4, 2021): 467. http://dx.doi.org/10.22331/q-2021-06-04-467.

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Estimating correctly the quantum phase of a physical system is a central problem in quantum parameter estimation theory due to its wide range of applications from quantum metrology to cryptography. Ideally, the optimal quantum estimator is given by the so-called quantum Cramér-Rao bound, so any measurement strategy aims to obtain estimations as close as possible to it. However, more often than not, the current state-of-the-art methods to estimate quantum phases fail to reach this bound as they rely on maximum likelihood estimators of non-identifiable likelihood functions. In this work we thoro

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Alexei, Kaltchenko. "Estimation of quantum entropies." i-manager’s Journal on Mathematics 13, no. 1 (2024): 1. http://dx.doi.org/10.26634/jmat.13.1.20387.

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Motivated by the importance of entropy functions in quantum data compression, entanglement theory, and various quantum information-processing tasks, this study demonstrates how classical algorithms for entropy estimation can effectively contribute to the construction of quantum algorithms for universal quantum entropy estimation. Given two quantum i.i.d. sources with completely unknown density matrices, algorithms are developed for estimating quantum cross entropy and quantum relative entropy. These estimation techniques represent a quantum generalization of the classical algorithms by Lempel,

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Khalesi, Elham. "Quantum Theory Proof Show by MATLAB Software." Journal of Applied Material Science & Engineering Research 7, no. 2 (2023): 107–8. https://doi.org/10.33140/jamser.07.02.04.

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This paper is based on Numeric Estimation that for unsymmetrical figures has benefits. Also, this project by Finite Difference Method and Matlab Programming and knowing potential in boundary condition , field in Microwave Devices or parameters in Transfer Electronics Line obtain.

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Marchese, Marta Maria, Alessio Belenchia, and Mauro Paternostro. "Optomechanics-Based Quantum Estimation Theory for Collapse Models." Entropy 25, no. 3 (2023): 500. http://dx.doi.org/10.3390/e25030500.

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We make use of the powerful formalism of quantum parameter estimation to assess the characteristic rates of a continuous spontaneous localization (CSL) model affecting the motion of a massive mechanical system. We show that a study performed in non-equilibrium conditions unveils the advantages provided by the use of genuinely quantum resources—such as quantum correlations—in estimating the CSL-induced diffusion rate. In stationary conditions, instead, the gap between quantum performance and a classical scheme disappears. Our investigation contributes to the ongoing effort aimed at identifying

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PARIS, MATTEO G. A. "QUANTUM ESTIMATION FOR QUANTUM TECHNOLOGY." International Journal of Quantum Information 07, supp01 (2009): 125–37. http://dx.doi.org/10.1142/s0219749909004839.

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Several quantities of interest in quantum information, including entanglement and purity, are nonlinear functions of the density matrix and cannot, even in principle, correspond to proper quantum observables. Any method aimed to determine the value of these quantities should resort to indirect measurements and thus corresponds to a parameter estimation problem whose solution, i.e. the determination of the most precise estimator, unavoidably involves an optimization procedure. We review local quantum estimation theory and present explicit formulas for the symmetric logarithmic derivative and th

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Bakmou, Lahcen, Mohammed Daoud, and Rachid ahl laamara. "Multiparameter quantum estimation theory in quantum Gaussian states." Journal of Physics A: Mathematical and Theoretical 53, no. 38 (2020): 385301. http://dx.doi.org/10.1088/1751-8121/aba770.

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Wada, Kaito, Kazuma Fukuchi, and Naoki Yamamoto. "Quantum-enhanced mean value estimation via adaptive measurement." Quantum 8 (September 9, 2024): 1463. http://dx.doi.org/10.22331/q-2024-09-09-1463.

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Quantum-enhanced (i.e., higher performance by quantum effects than any classical methods) mean value estimation of observables is a fundamental task in various quantum technologies; in particular, it is an essential subroutine in quantum computing algorithms. Notably, the quantum estimation theory identifies the ultimate precision of such an estimator, which is referred to as the quantum Cramér-Rao (QCR) lower bound or equivalently the inverse of the quantum Fisher information. Because the estimation precision directly determines the performance of those quantum technological systems, it is hi

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Gianani, Ilaria, and Claudia Benedetti. "Multiparameter estimation of continuous-time quantum walk Hamiltonians through machine learning." AVS Quantum Science 5, no. 1 (2023): 014405. http://dx.doi.org/10.1116/5.0137398.

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The characterization of the Hamiltonian parameters defining a quantum walk is of paramount importance when performing a variety of tasks, from quantum communication to computation. When dealing with physical implementations of quantum walks, the parameters themselves may not be directly accessible, and, thus, it is necessary to find alternative estimation strategies exploiting other observables. Here, we perform the multiparameter estimation of the Hamiltonian parameters characterizing a continuous-time quantum walk over a line graph with n-neighbor interactions using a deep neural network mod

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Hayashi, Masahito, and Yingkai Ouyang. "The Cramér-Rao approach and global quantum estimation of bosonic states." Quantum 9 (July 22, 2025): 1806. https://doi.org/10.22331/q-2025-07-22-1806.

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Quantum state estimation is a fundamental task in quantum information theory, where one estimates real parameters continuously embedded in a family of quantum states. In the theory of quantum state estimation, the widely used Cramér Rao approach which considers local estimation gives the ultimate precision bound of quantum state estimation in terms of the quantum Fisher information. However practical scenarios need not offer much prior information about the parameters to be estimated, and the local estimation setting need not apply. In general, it is unclear whether the Cramér-Rao approach is

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Suzuki, Jun. "Information Geometrical Characterization of Quantum Statistical Models in Quantum Estimation Theory." Entropy 21, no. 7 (2019): 703. http://dx.doi.org/10.3390/e21070703.

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In this paper, we classify quantum statistical models based on their information geometric properties and the estimation error bound, known as the Holevo bound, into four different classes: classical, quasi-classical, D-invariant, and asymptotically classical models. We then characterize each model by several equivalent conditions and discuss their properties. This result enables us to explore the relationships among these four models as well as reveals the geometrical understanding of quantum statistical models. In particular, we show that each class of model can be identified by comparing qu

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Dissertations / Theses on the topic "Quantum estimation theory"

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Kubitzki, Marcus. "State and Parameter Estimation in Quantum Theory." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10806359.

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Ahmadi, Abhari Seyed Hamed. "Quantum Algorithms for: Quantum Phase Estimation, Approximation of the Tutte Polynomial and Black-box Structures." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5096.

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In this dissertation, we investigate three different problems in the field of Quantum computation. First, we discuss the quantum complexity of evaluating the Tutte polynomial of a planar graph. Furthermore, we devise a new quantum algorithm for approximating the phase of a unitary matrix. Finally, we provide quantum tools that can be utilized to extract the structure of black-box modules and algebras. While quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT)) is highly con

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Porta, Mana Piero Giovanni Luca. "Studies in plausibility theory, with applications to physics." Doctoral thesis, Kista : [Mikroelektronik och tillämpad fysik Microelectronics and Applied Physics, Kungliga Tekniska högskolan], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4421.

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Benedetti, C. "DECOHERENCE, NON-MARKOVIANITY AND QUANTUM ESTIMATION IN QUBIT SYSTEMS SUBJECT TO CLASSICAL NOISE." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/254031.

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The unavoidable interaction of a quantum system with its environment usually degrades its coherence and quantumness. The environment and the decoherence process may be described as the interaction with a classical or quantized bath. As a matter of fact, the classical description becomes progressively more reliable as far as the environment has many degrees of freedom, i.e. it becomes complex, or when the interaction between a quantum system and a classical fluctuating field is taken into account. In this thesis, I consider a qubit system coupled to a stochastic classical field and address

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Knee, George C. "Concepts and applications of quantum measurement." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:2838a30b-302c-4fac-9e86-1ca452a88a83.

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In this thesis I discuss the nature of ‘measurement’ in quantum theory. ‘Measurement’ is associated with several different processes: the gradual imprinting of information about one system onto another, which is well understood; the collapse of the wavefunction, which is ill-defined and troublesome; and finally, the means by which inferences about unknown experimental parameters are made. I present a theoretical extension to an experimental proposal from Leggett and Garg, who suggested that the quantum-or-classical reality of a macroscopic system may be probed with successive measurements arra

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Souza, Douglas Delgado de 1987. "Informação quântica com estados coerentes comprimidos da luz." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276940.

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Orientador: Antonio Vidiella Barranco<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin<br>Made available in DSpace on 2018-08-28T00:18:27Z (GMT). No. of bitstreams: 1 Souza_DouglasDelgadode_D.pdf: 6011689 bytes, checksum: b920d0dfb23c23b599d6bf1a254285ec (MD5) Previous issue date: 2015<br>Resumo: Na primeira parte deste trabalho seguimos os estudos de Hirota e colaboradores e definimos quatro estados quase-Bell baseados em estados coerentes comprimidos da luz. Dois desses estados são maximamente emaranhados, enquanto o emaranhamento dos outros dois d

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Baldasare, Corey Adam. "Quantum Chemical pK_a Estimation of Carbon Acids, Saturated Alcohols, and Ketones via Quantitative Structure-Activity Relationships." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1598550823525731.

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Santos, Jader Pereira dos. "Uso de luz quantizada para controle e medida em sistemas atômicos e moleculares." reponame:Repositório Institucional da UFABC, 2015.

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Orientador: Prof. Dr.Fernando Luis Semião da Silva<br>Tese (doutorado) - Universidade Federal do ABC, Programa de Pós-Graduação em Física, 2015.<br>A presente tese de doutorado tem como principal objetivo empregar luz quantizada para o controle e medida em sistemas complexos como em um conjunto de cromóforos, e em um condensado de Bose-Einstein. Em especial, desenvolvemos formalismos de pulsos e equações mestras aplicáveis a esses sistemas e utilizamos teoria de estimativa quântica para determinar quantidades atômicas relevantes de maneira indireta (medindo propriedades da luz). Também emprega

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Silva, Domingos José Lopes da. "Estatística de extremos: limites da performance humana - estudo com lançadores e saltadores do atletismo." Doctoral thesis, Universidade de Évora, 2020. http://hdl.handle.net/10174/28600.

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Eventos extremos são raros, mas quando ocorrem têm um enorme impacto social e uma atenção mediática considerável. São exemplo os recordes no mundo do desporto – raros de acontecerem, mas quando ocorrem não apenas são divulgados nos mais variados meios de comunicação social, como são motivo de modificação da metodologia de treino e do comportamento do atleta. Como prever esta ocorrência? Qual a probabilidade de ocorrência? Qual a magnitude da ocorrência? Quanto tempo de espera? A teoria de valores extremos, baseada no teorema dos tipos extremais de Fisher-Tippett- Gnedenko, proporciona um rigor

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Gherardini, Stefano. "Noise as a resource - Probing and manipulating classical and quantum dynamical systems via stochastic measurements." Doctoral thesis, 2018. http://hdl.handle.net/2158/1120060.

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In this thesis, common features from the theories of open quantum systems, estimation of state dynamics and statistical mechanics have been integrated in a comprehensive framework, with the aim to analyze and quantify the energetic and information contents that can be extracted from a dynamical system subject to the external environment. The latter is usually assumed to be deleterious for the feasibility of specic control tasks, since it can be responsible for uncontrolled time-dependent (and even discontinuous) changes of the system. However, if the effects of the random interaction with a n

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Books on the topic "Quantum estimation theory"

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Harney, Hanns L. Bayesian Inference: Parameter Estimation and Decisions. Springer Berlin Heidelberg, 2003.

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Watanabe, Yu. Formulation of Uncertainty Relation Between Error and Disturbance in Quantum Measurement by Using Quantum Estimation Theory. Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54493-7.

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Harney, Hanns L. Bayesian inference: Parameter estimation and decisions. Springer, 2002.

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Paris, Matteo. Quantum State Estimation. Springer, 2010.

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Chakrabarti, Raj. Quantum Control and Quantum Estimation Theory. Taylor & Francis Group, 2011.

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Chakrabarti, Raj. Quantum Control and Quantum Estimation Theory. Taylor & Francis Group, 2021.

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Teo, Yong Siah. Introduction to Quantum-State Estimation. World Scientific Publishing Co Pte Ltd, 2015.

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Sugiyama, Takanori. Finite Sample Analysis in Quantum Estimation. Springer, 2014.

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Sugiyama, Takanori. Finite Sample Analysis in Quantum Estimation. Springer, 2014.

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Sugiyama, Takanori. Finite Sample Analysis in Quantum Estimation. Springer, 2016.

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Book chapters on the topic "Quantum estimation theory"

1

Watanabe, Yu. "Quantum Estimation Theory." In Formulation of Uncertainty Relation Between Error and Disturbance in Quantum Measurement by Using Quantum Estimation Theory. Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54493-7_4.

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Hayashi, Masahito. "Quantum Information Geometry and Quantum Estimation." In Quantum Information Theory. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49725-8_6.

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Watanabe, Yu. "Classical Estimation Theory." In Formulation of Uncertainty Relation Between Error and Disturbance in Quantum Measurement by Using Quantum Estimation Theory. Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54493-7_3.

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Hayashi, Masahito. "Information Quantities and Parameter Estimation in Classical Systems." In Quantum Information Theory. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49725-8_2.

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D’ariano, G. M. "Quantum Estimation Theory and Optical Detection." In Quantum Optics and the Spectroscopy of Solids. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8796-9_8.

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Chiribella, Giulio. "On Quantum Estimation, Quantum Cloning and Finite Quantum de Finetti Theorems." In Theory of Quantum Computation, Communication, and Cryptography. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18073-6_2.

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Kunihiro, Noboru. "Quantum Factoring Algorithm: Resource Estimation and Survey of Experiments." In International Symposium on Mathematics, Quantum Theory, and Cryptography. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5191-8_7.

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Abstract It is known that Shor’s algorithm can break many cryptosystems such as RSA encryption, provided that large-scale quantum computers are realized. Thus far, several experiments for the factorization of the small composites such as 15 and 21 have been conducted using small-scale quantum computers. In this study, we investigate the details of quantum circuits used in several factoring experiments. We then indicate that some of the circuits have been constructed under the condition that the order of an element modulo a target composite is known in advance. Because the order must be unknown

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Woodhead, Erik, Charles Ci Wen Lim, and Stefano Pironio. "Semi-device-independent QKD Based on BB84 and a CHSH-Type Estimation." In Theory of Quantum Computation, Communication, and Cryptography. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35656-8_9.

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Marvian, Iman, and Robert W. Spekkens. "Applying a Generalization of Schur-Weyl Duality to Problems in Quantum Information and Estimation." In Theory of Quantum Computation, Communication, and Cryptography. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35656-8_12.

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Fujii, Tomohiro, and Masao Hirokawa. "A Data Concealing Technique with Random Noise Disturbance and a Restoring Technique for the Concealed Data by Stochastic Process Estimation." In International Symposium on Mathematics, Quantum Theory, and Cryptography. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5191-8_11.

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Abstract We propose a technique to conceal data on a physical layer by disturbing them with some random noises, and moreover, a technique to restore the concealed data to the original ones by using the stochastic process estimation. Our concealing-restoring system manages the data on the physical layer from the data link layer. In addition to these proposals, we show the simulation result and some applications of our concealing-restoring technique.

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Conference papers on the topic "Quantum estimation theory"

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Gong, Zihao, and Boulat A. Bash. "On Two-Stage Quantum Estimation and Asymptotics of Quantum-Enhanced Transmittance Sensing." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619296.

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Saberi, Mahdi, Sina Mahmoudi, Hassan Kaatuzian, and Majid Shalchian. "Quantum-Photonic Treatment for Nano-Refraction." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jd4a.54.

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Nano Refraction (N.R.), a distinct concept from traditional macroscopic refraction law, involves the precise estimation and manipulation of photon or electron trajectories as they traverse through transparent devices at the atomic scales. N.R. operates at the quantum level space and atto-second time scales, offering novel insights and applications in the realm of nanotechnology. In this paper we have used fifth theory of light called Quantum Photonics (Q.P.) for explaining Nano Refraction phenomenon for a typical orthorhombic crystal lattice. Simulation results based on Monte Carlo time domain

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Barbieri, Marco. "Quantum Parameter Estimation Without Parameters." In Quantum 2.0. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/quantum.2024.qtu4c.1.

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Quantum parameter estimation relies on ‘statistical models’ assuming perfect knowledge of the channel. We discuss techniques relaxing this assumption and their optical implementation. This opens perspectives for secure quantum estimation. Full-text article not available; see video presentation

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Gustafson, Erik, Henry Lamm, and Judah Unmuth-Yockey. "Quantum mean estimation for lattice field theory." In Quantum mean estimation for lattice field theory. US DOE, 2023. http://dx.doi.org/10.2172/1983816.

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Malitesta, Marco, Augusto Smerzi, and Luca Pezzè. "Distributed quantum sensing and entanglement-enhanced multiphase estimation theory." In Quantum Sensing, Imaging, and Precision Metrology, edited by Selim M. Shahriar and Jacob Scheuer. SPIE, 2023. http://dx.doi.org/10.1117/12.2657348.

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Walter, Michael, and Joseph M. Renes. "A Heisenberg limit for quantum region estimation." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6875008.

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Pereg, Uzi. "Communication over Quantum Channels with Parameter Estimation." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174144.

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Nair, Ranjith. "Quantum limits on optical phase estimation accuracy from classical rate-distortion theory." In INTERNATIONAL CONFERENCE ON QUANTITATIVE SCIENCES AND ITS APPLICATIONS (ICOQSIA 2014): Proceedings of the 3rd International Conference on Quantitative Sciences and Its Applications. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4903098.

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Ambainis, Andris, and Martins Kokainis. "Quantum algorithm for tree size estimation, with applications to backtracking and 2-player games." In STOC '17: Symposium on Theory of Computing. ACM, 2017. http://dx.doi.org/10.1145/3055399.3055444.

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Clemente, Giuseppe. "Mixed State Variational Quantum Eigensolver for the Estimation of Expectation Values at Finite Temperature." In The 40th International Symposium on Lattice Field Theory. Sissa Medialab, 2024. http://dx.doi.org/10.22323/1.453.0216.

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Reports on the topic "Quantum estimation theory"

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Samuel, M. A. On estimating perturbative coefficients in quantum field theory and statistical physics. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/296832.

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Samuel, M. On Estimating Perturbative Coefficients in Quantum Field Theory and Statistical Physics. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/826542.

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Samuel, Mark. Theorems on Estimating Perturbative Coefficients in Quantum Field Theory and Statistical Physics. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/813278.

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Radvand, Tina, and Alireza Talebpour. A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-028.

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Electric vehicles (EVs) play a significant role in enhancing the sustainability of transportation systems. However, their widespread adoption is hindered by inadequate public charging infrastructure, particularly to support long-distance travel. Identifying optimal charging station locations in large transportation networks presents a well-known NP-hard combinatorial optimization problem, as the search space grows exponentially with the number of potential charging station locations. This report introduces a quantum search-based optimization algorithm designed to enhance the efficiency of solv

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