Results 1 to 10 of about 283,757 (265)
Supervised Quantum Learning without Measurements. [PDF]
Sci Rep, 2017 We propose a quantum machine learning algorithm for efficiently solving a class of problems encoded in quantum controlled unitary operations. The central physical mechanism of the protocol is the iteration of a quantum time-delayed equation that ...
Alvarez-Rodriguez U +4 more
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A strategy for quantum algorithm design assisted by machine learning
New Journal of Physics, 2014 We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum–classical hybrid simulator, where a ‘quantum student’ is being taught by a ‘classical teacher’. In other words, in our method, the learning system is
Jeongho Bang +4 more
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Exponential quantum advantages in learning quantum observables from classical data [PDF]
npj Quantum InformationQuantum computers are believed to bring computational advantages in simulating quantum many-body systems. However, recent works have shown that classical machine learning algorithms are able to predict numerous properties of quantum systems with ...
Riccardo Molteni +2 more
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Hermeneutic Approach to Quantum Learning [PDF]
Journal of Philosophical Investigations, 2021 This paper aims to discover the key components of quantum theory in learning through hermeneutic research method. Quantum theory is exactly against the theory of simplicity. While the theory of simplicity has been influenced by modernity and the insights
Ehsan Sabaghi Noushabadi +2 more
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Optimal Multi-Bit Toffoli Gate Synthesis
IEEE Access, 2023 Multi-bit Toffoli gates form an essential quantum gate class for quantum algorithms. They should be efficiently decomposed into elementary single- or multi-qubit quantum gates, such as CNOT, T, and Hadarmard, for a scalable implementation of a quantum ...
Young-Min Jun, In-Chan Choi
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Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation
Mathematics, 2022 The quantum approximate optimisation algorithm is a p layer, time variable split operator method executed on a quantum processor and driven to convergence by classical outer-loop optimisation.
Daniil Rabinovich +4 more
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Quantum Optical Experiments Modeled by Long Short-Term Memory
Photonics, 2021 We demonstrate how machine learning is able to model experiments in quantum physics. Quantum entanglement is a cornerstone for upcoming quantum technologies, such as quantum computation and quantum cryptography. Of particular interest are complex quantum
Thomas Adler +5 more
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REiLA, 2022 The quantum learning model is a combination of various interactions that occur during the learning process. This learning model can be combined with the Assoziogram technique or also with audio-visual media as learning media.
Wilma Akihary, Patresia S. Apituley
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PENGGUNAAN VARIASI MEDIA AJAR TERHADAP 3 GAYA BELAJAR SISWA DALAM PEMBELAJARAN BAHASA JEPANG (THE USE OF TEACHING MEDIA VARIATIONS ON 3 STUDENT LEARNING STYLES IN JAPANESE LANGUAGE LEARNING) [PDF]
Jurnal Japanedu: Pendidikan dan Pengajaran Bahasa Jepang, 2017 Teaching requires creative methods and variety of teaching media in order students able to absorb the lesson. Teacher shouldn’t force a certain method to a group of student.
Murni Setianingrum
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Quantum Optimization and Quantum Learning: A Survey
IEEE Access, 2020 Quantum mechanism, which has received widespread attention, is in continuous evolution rapidly. The powerful computing power and high parallel ability of quantum mechanism equip the quantum field with broad application scenarios and brand-new vitality ...
Yangyang Li +4 more
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