標題: Titlebook: Concise Guide to Quantum Machine Learning; Davide Pastorello Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li [打印本頁] 作者: 猛烈抨擊 時間: 2025-3-21 18:25
書目名稱Concise Guide to Quantum Machine Learning影響因子(影響力)
書目名稱Concise Guide to Quantum Machine Learning影響因子(影響力)學科排名
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書目名稱Concise Guide to Quantum Machine Learning網絡公開度學科排名
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書目名稱Concise Guide to Quantum Machine Learning被引頻次學科排名
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書目名稱Concise Guide to Quantum Machine Learning讀者反饋
書目名稱Concise Guide to Quantum Machine Learning讀者反饋學科排名
作者: enlist 時間: 2025-3-21 20:53 作者: 整潔 時間: 2025-3-22 04:00
Quantum Pattern Recognition,In this chapter we introduce the quantum implementation of an associative memory based on a modification of the Grover algorithm. Then we review the application of the quantum Fourier transform to pattern recognistion and an adiabatic algorithm to retrieve binary patterns from a quantum memory.作者: 魯莽 時間: 2025-3-22 07:07 作者: 拖債 時間: 2025-3-22 11:29 作者: magnate 時間: 2025-3-22 16:26
Giuseppe Spolaore,Pierdaniele Giarettas. It is the most prominent application of quantum information theory and delivers algorithms to solve efficiently some problems which are hard for classical computers. This chapter is focused on the fundamentals of quantum computing like the abstract notion of a universal quantum computer and the c作者: magnate 時間: 2025-3-22 20:22
Giuseppe Spolaore,Pierdaniele Giarettag schemes. In particular, the quantum Fourier transform is a quantum implementation of the discrete Fourier transform [Co94], Grover’s algorithm and amplitude amplification are quantum search algorithms in an unsorted database [Gr96, BH97], the phase estimation algorithm allows to estimate the eigen作者: 濕潤 時間: 2025-3-22 23:26 作者: 橡子 時間: 2025-3-23 04:38 作者: 繼而發(fā)生 時間: 2025-3-23 09:16
https://doi.org/10.1007/978-3-030-82700-7labelled (classified) data. In this section we introduce some quantum algorithms to make predictions on labels of previously unseen data instances: two examples of quantum distance based classifiers, a quantum versions of the k-nearest neighbors algorithm, and the quantum support vector machine. Mor作者: Mnemonics 時間: 2025-3-23 10:20 作者: 指數(shù) 時間: 2025-3-23 16:15 作者: Painstaking 時間: 2025-3-23 19:58
https://doi.org/10.1007/978-981-19-6897-6Quantum Computing; Quantum Neural Networks; Quantum Annealing; Machine Leaning; Quantum Algorithms作者: 放逐某人 時間: 2025-3-24 01:14
978-981-19-6899-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Statins 時間: 2025-3-24 06:06 作者: organic-matrix 時間: 2025-3-24 09:28
Machine Learning: Foundations, Methodologies, and Applicationshttp://image.papertrans.cn/c/image/235112.jpg作者: 拘留 時間: 2025-3-24 13:08
María-Isabel Soldevila,Julie Vander Meulenssical networks, for instance a quantum feedforward neural network implemented in terms of a variational circuit is able to achieve a higher value of effective dimension (that is a figure of merit to quantify the generalization capability of a model) with respect to classical feedforward networks [A作者: GLOSS 時間: 2025-3-24 16:45 作者: HEDGE 時間: 2025-3-24 19:37 作者: 引導 時間: 2025-3-25 00:26
2730-9908 ics and linear algebra is sufficient; no previous experience with quantum computing or machine learning is needed. The book is aimed at researchers and students with no background in quantum physics and is also978-981-19-6899-0978-981-19-6897-6Series ISSN 2730-9908 Series E-ISSN 2730-9916 作者: ARBOR 時間: 2025-3-25 04:57 作者: Ventilator 時間: 2025-3-25 08:04
Basics of Quantum Mechanics,as electrons and photons. Classical mechanics based on the Newton‘s principles of dynamics and the classical electromagnetism based on Maxwell‘s equations do not work to describe microscopic physical systems. For instance, the classical electromagnetism does not provide the stability of the hydrogen作者: Intend 時間: 2025-3-25 14:06
Basics of Quantum Computing,s. It is the most prominent application of quantum information theory and delivers algorithms to solve efficiently some problems which are hard for classical computers. This chapter is focused on the fundamentals of quantum computing like the abstract notion of a universal quantum computer and the c作者: defuse 時間: 2025-3-25 19:28
Relevant Quantum Algorithms,g schemes. In particular, the quantum Fourier transform is a quantum implementation of the discrete Fourier transform [Co94], Grover’s algorithm and amplitude amplification are quantum search algorithms in an unsorted database [Gr96, BH97], the phase estimation algorithm allows to estimate the eigen作者: 他姓手中拿著 時間: 2025-3-25 22:48
QML Toolkit,echnical tools that are widely used in QML. The quantum random access memory (QRAM) is a model for the efficient retrieval of quantum states encoding data, a procedure of Hamiltonian simulation is crucial for some QML algorithms that we describe in the following, the SWAP test and the quantum calcul作者: 歡樂東方 時間: 2025-3-26 03:40 作者: indecipherable 時間: 2025-3-26 07:58
Quantum Classification,labelled (classified) data. In this section we introduce some quantum algorithms to make predictions on labels of previously unseen data instances: two examples of quantum distance based classifiers, a quantum versions of the k-nearest neighbors algorithm, and the quantum support vector machine. Mor作者: VICT 時間: 2025-3-26 12:05
Quantum Neural Networks,eurons, roughly resembling a biological brain. A neural network is characterized by the way its neurons are connected and by the weights of the connections. The weights are optimized during the training in order to accomplish a desired task. The term quantum neural networks may refer to artificial n作者: Volatile-Oils 時間: 2025-3-26 15:03 作者: vascular 時間: 2025-3-26 18:46 作者: exercise 時間: 2025-3-26 21:34
Taru Haapala,álvaro Oleart,Jan Beyeral QML models is the need of a training phase performed updating parameters by means of classical optimization techniques. So, many QML proposals offer a quantum execution of a model but often the training remains a classical procedure.作者: MAIZE 時間: 2025-3-27 04:51 作者: Synthesize 時間: 2025-3-27 05:16
Concluding Remarks,al QML models is the need of a training phase performed updating parameters by means of classical optimization techniques. So, many QML proposals offer a quantum execution of a model but often the training remains a classical procedure.作者: 殺人 時間: 2025-3-27 12:18
Basics of Quantum Computing,ircuit model for quantum computations. There is an overview on adiabatic quantum computing which provides a notion of analog quantum computer. Quantum annealers, as specific-purpose quantum machines, are also introduced.作者: Canopy 時間: 2025-3-27 15:44 作者: 暫停,間歇 時間: 2025-3-27 21:31 作者: 全能 時間: 2025-3-27 23:07 作者: 亞當心理陰影 時間: 2025-3-28 02:58
Giuseppe Spolaore,Pierdaniele Giarettaircuit model for quantum computations. There is an overview on adiabatic quantum computing which provides a notion of analog quantum computer. Quantum annealers, as specific-purpose quantum machines, are also introduced.作者: 流浪 時間: 2025-3-28 10:10
Humanism, Petrarchism, and Melanchthon,cal systems that have been deduced as phenomenological evidences in quantum experiments. Next, we introduce the machinery of linear operators on Hilbert spaces to formalize the description of quantum systems.作者: ATOPY 時間: 2025-3-28 10:41 作者: 結束 時間: 2025-3-28 14:49
Basics of Quantum Mechanics,cal systems that have been deduced as phenomenological evidences in quantum experiments. Next, we introduce the machinery of linear operators on Hilbert spaces to formalize the description of quantum systems.作者: osteoclasts 時間: 2025-3-28 22:15 作者: 肉體 時間: 2025-3-29 02:45
Book 2023techniques into the language of quantum computing, but rather a new approach to data representation and processing. Accordingly, the content is not divided into a “classical part” that describes standard machine learning schemes and a “quantum part” that addresses their quantum counterparts. Instead作者: Projection 時間: 2025-3-29 06:11
