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Journal articles on the topic 'Model quantum learning'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Kusuma, Adevia Indah, and Diana Pramesti. "Teacherpreneur Learning Model: Model Pembelajaran Kewirausahaan Berbasis Quantum Learning." EDUKATIF : JURNAL ILMU PENDIDIKAN 3, no. 6 (2021): 4913–28. http://dx.doi.org/10.31004/edukatif.v3i6.1572.

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Berdasarkan analisis kebutuhan dilakukannya pengembangan maka tujuan penelitian ini adalah mengembangkan model pembelajaran kewirausahaan berbasis quantum learning untuk menghasilkan karakter guru berjiwa kewirausahaan yang disebut dengan Teacherpreneur. Metode penelitian yang digunakan adalah langkah pengembangan ADDIE. Subjek penelitian terdiri dari validator dan respon pengguna. Model pembelajaran kewirausahaan berbasis Quantum Learning ini diberi nama Teacherpreneur Learning Model (TLM) dengan tujuh sintak (Potential, Intuitive, Conceptual, Management, Sustainable, Collaborative, dan Shari

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Ni, Wayan Kompiang Ekawati. "APLIKASI PEMBELAJARAN KUANTUM SEBAGAI UPAYA UNTUK MENINGKATKAN PRESTASI BELAJAR PENDIDIKAN AGAMA HINDU DAN BUDI PEKERTI SISWA KELAS I SEMESTER I TAHUN PELAJARAN 2017/2018 SD NEGERI 3 GADUNGAN." Widyadari 22, no. 2 (2021): 745–53. https://doi.org/10.5281/zenodo.5587839.

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<em>Student achievement in the subjects of Hindu Religion and Moral Education will not be low. However, in reality, the initial data acquisition as a result of observations made found the fact that the learning achievement of class I students in the first semester of the 2017/2018 academic year only reached 68.64. These results are still very far from the minimum standard for achieving the quality of education with the KKM 75 set at SD 3 Gadungan. The purpose of this classroom action research is to improve the learning achievement of Hindu Religious Education and Morals for Class I Semester I

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Afidin, Devi, Fauzi Achmad, Kasturi Kasturi, Shirly Rizki Kusumaningrum, and Radeni Sukma Indra Dewi. "QUANTUM LEARNING MODEL TO INCREASE SCIENCE LEARNING ACTIVITIES." SENTRI: Jurnal Riset Ilmiah 1, no. 4 (2022): 919–29. http://dx.doi.org/10.55681/sentri.v1i4.307.

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Based on the observation of student activity in grade 6 of elementary school as a whole during the process of learning science activities, there was a problem that science learning activities were still low. This is evidenced by observational data which shows that science learning activities only reach 40%. The low science learning activity is caused by several factors, including; (1) learning is still centered on the teacher (teacher center), (2) the model used by the teacher is the lecture model. The appropriate solution to this problem is to apply the Quantum Learning model . The teacher ha

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Huang, Yi-Ming, Xiao-Yu Li, Yi-Xuan Zhu, Hang Lei, Qing-Sheng Zhu, and Shan Yang. "Learning Unitary Transformation by Quantum Machine Learning Model." Computers, Materials & Continua 68, no. 1 (2021): 789–803. http://dx.doi.org/10.32604/cmc.2021.016663.

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Soraya, Syarifah. "THE EFFECTIVENESS OF THE QUANTUM LEARNING LEARNING MODEL BY PAYING ATTENTION TO LEARNING INTEREST IN STUDENT LEARNING OUTCOMES." Al-Risalah 14, no. 2 (2023): 518–36. http://dx.doi.org/10.34005/alrisalah.v14i2.2750.

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This study generally aims to determine the effectiveness of Quantum Learning on student learning outcomes. In particular, this study aims to determine the difference in student learning outcomes between those taught with Quantum Learning and lecture methods, to determine the interaction of Quantum Learning and learning interest in student learning outcomes, and to determine the differences in student learning outcomes in high learning interest and low learning interest taught with Quantum Learning and those taught with the lecture method. This research uses an experimental method with factoria

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Patel, Ananya (Ph D. Candidate). "ADVANCING FINANCIAL PREDICTION THROUGH QUANTUM MACHINE LEARNING." International Journal of Intelligent Data and Machine Learning 2, no. 02 (2025): 1–7. https://doi.org/10.55640/ijidml-v02i02-01.

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The growing complexity, interdependencies, and rapid fluctuations inherent in modern financial markets create substantial challenges for accurate forecasting, portfolio optimization, and risk management. Conventional machine learning techniques, while powerful, often face limitations in capturing nonlinear relationships and processing high-dimensional datasets efficiently. Quantum machine learning (QML) has emerged as a promising paradigm that leverages quantum computing principles to enhance predictive modeling in finance. This study presents a comprehensive investigation into the application

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Zeybek, Gülçin. "An Investigation on Quantum Learning Model." International Journal of Modern Education Studies 1, no. 1 (2017): 16. http://dx.doi.org/10.51383/ijonmes.2017.12.

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Today, the importance of education has increased even more in terms of raising qualified individuals. According to researches on the development of upper mental skills and abilities, it has been found out that students who are actively involved in the learning process learn beter. In result of information interactions, treasury is changing and increasing. To adjust to this changing, people have to improve their skills and abilities effectively; hence, various methods and techniques have been developed in education. One of them is quantum learning which a model is becoming widespread. This rese

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ANDRECUT, M., and M. K. ALI. "A QUANTUM NEURAL NETWORK MODEL." International Journal of Modern Physics C 13, no. 01 (2002): 75–88. http://dx.doi.org/10.1142/s0129183102002948.

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We present the algorithms necessary for the implementation of a quantum neural network with learning and classification tasks. A complete implementation for the classification and learning algorithms is given in terms of unitary quantum gates. Such a quantum neural network can be used to perform complex classification tasks or to solve the general problem of binary mapping.

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Chen, Samuel Yen-Chi, and Shinjae Yoo. "Federated Quantum Machine Learning." Entropy 23, no. 4 (2021): 460. http://dx.doi.org/10.3390/e23040460.

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Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen where the data is located. One of the potential schemes to achieve this property is the federated learning (FL), which consists of several clients or local nodes learning on their own data and a central node to aggregate the models collected from those local nodes. However, to the best of our knowledge, no work has been done in quantum machine learning (QML) in federa

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Ulfawati, Erika, Dewi Puspita Sari, and Asri Karolina. "Model Pembelajaran PAI Berbasis Neurosains: Quantum Learning." Indonesian Journal of Innovation Multidisipliner Research 2, no. 2 (2024): 132–38. http://dx.doi.org/10.69693/ijim.v2i2.106.

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Penelitian ini membahas model pembelajaran Pendidikan Agama Islam berbasis neurosains dengan model pembelajaran Quantum Learning. Pendekatan penelitian yang digunakan yaitu pendekatan kualitatif dan penelitian ini menggunakan metode kepustakaan (library research). Tujuan penelitian ini adalah untuk mengetahui bagaimana model pembelajaran quantum learning diterapkan dalam pembelajaran Pendidikan Agama Islam berbasis neurosains. Sumber primer dan sekunder merupakan sumber data yang digunakan dalam penelitian ini. Jurnal-jurnal yang membahas tentang model pembelajaran berbasis quantum learning da

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Fatimah, Andriani, Ulfiani Rahman, and Andi Ika Prasasti. "Memahami Konsep Matematika dengan Quantum Learning dan Quantum Teaching." PUSAKA 6, no. 2 (2018): 211–18. http://dx.doi.org/10.31969/pusaka.v6i2.58.

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Artikel ini membahas tentang perbandingan penerapan model pembelajaran Quantum Learning dan Quantum Teaching terhadap kemampuan pemahaman konsep matematika siswa kelas VIII SMP IT Wahdah Islamiyah Makassar. Penelitian ini bertujuan untuk (1) mengetahui kemampuan pemahaman konsep matematika siswa yang diajar dengan menerapkan model pembelajaran Quantum Learning; (2) mengetahui kemampuan pemahaman konsep matematika siswa yang diajar dengan menerapkan model pembelajaran Quantum Teaching; (3) mengetahui perbedaan yang signifikan antara kemampuan pemahaman konsep matematika melalui penerapan model

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Muis, Muhammad Aufa, Mardiana Mardiana, Selly Syalini, and Nurusyakira Putri. "Building a Golden Generation Through Learning Islamic Religious Education: Quantum Teaching Learning Model." AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia 3, no. 2 (2024): 992–1000. http://dx.doi.org/10.57235/aurelia.v3i2.2506.

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This article explores the Quantum Teaching approach as an effective learning model in teaching Islamic Religious Education (PAI) to build a golden generation. The aim is to examine the application of Quantum Teaching principles in the PAI teaching and learning process, including a conducive learning environment, meaningful learning experiences, and the cultivation of spiritual values. The method used is an in-depth literature study about Quantum Teaching and best practices in PAI learning. The findings show that Quantum Teaching provides a holistic framework for creating a fun, interactive and

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Setiadi, De Rosal Ignatius Moses, Ajib Susanto, Kristiawan Nugroho, Ahmad Rofiqul Muslikh, Arnold Adimabua Ojugo, and Hong-Seng Gan. "Rice Yield Forecasting Using Hybrid Quantum Deep Learning Model." Computers 13, no. 8 (2024): 191. http://dx.doi.org/10.3390/computers13080191.

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In recent advancements in agricultural technology, quantum mechanics and deep learning integration have shown promising potential to revolutionize rice yield forecasting methods. This research introduces a novel Hybrid Quantum Deep Learning model that leverages the intricate processing capabilities of quantum computing combined with the robust pattern recognition prowess of deep learning algorithms such as Extreme Gradient Boosting (XGBoost) and Bidirectional Long Short-Term Memory (Bi-LSTM). Bi-LSTM networks are used for temporal feature extraction and quantum circuits for quantum feature pro

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Arif, Pribadi, Jaryono Jaryono, Lina Rifda Naufalin, and Herman Sambodo. "The Effect of The Quantum Learning Model on Student Learning Outcomes." Economic Education Analysis Journal 12, no. 2 (2023): 51–62. http://dx.doi.org/10.15294/eeaj.v12i2.68027.

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This research aims to analyze the effect of the Quantum Learning model on student learning outcomes in economics subjects. This research was motivated by the many students in class XI IPS at SMA Negeri 3 Purwokerto who obtained daily test scores below the Minimum Completeness Criteria (KKM) in economics subjects. The research method used is a Quasi-Experimental Design that uses an experimental and control class. This study's population was all class XI IPS students at SMA Negeri 3 Purwokerto. The number of samples in this study was 71 respondents who were students of class XI IPS 3 and 4. The

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Sharad S. Jagtap. "Reinventing Smart Farming Using Adaptive Quantum Machine Learning Model." Journal of Information Systems Engineering and Management 10, no. 5s (2025): 453–61. https://doi.org/10.52783/jisem.v10i5s.665.

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This study investigates how precision agriculture and crop production predictions may be improved using Quantum Machine Learning (QML) models, namely the Variational Quantum Circuit (VQC). The VQC outperformed traditional linear regression and other quantum models such as Quantum Neural Networks (QNN) and Quantum Convolutional Neural Networks (QCNN) by using quantum computing's ability to analyze high-dimensional agricultural data. With the lowest Mean Squared Error (MSE: 28.00), Mean Absolute Error (MAE: 3.8), and greatest R-squared (R2: 0.97), the VQC successfully identified intricate relati

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Schetakis, Nikolaos, Davit Aghamalyan, Michael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, and Paul Robert Griffin. "Quantum Machine Learning for Credit Scoring." Mathematics 12, no. 9 (2024): 1391. http://dx.doi.org/10.3390/math12091391.

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This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the performance of separate quantum and classical models. Our model incorporates a quantum layer into a traditional neural network, achieving notable reductions in training time. We apply this innovative framework to a binary classification task with a proprietary real-world classical credit default dataset

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Doyan, Aris. "Penerapan Model Pembelajaran Kuantum pada Matakuliah Fisika Kuantum Ditinjau dari Motivasi Berprestasi." Jurnal Pendidikan Fisika dan Teknologi 1, no. 1 (2017): 1. http://dx.doi.org/10.29303/jpft.v1i1.229.

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This study aims to determine (1) the influence of quantum and conventional learning model on the learning achievement of quantum physics course, (2) the influence of student achievement motivation on learning achievement of quantum physics course, and (3) the interaction between the quantum and conventional learning model with achievement motivation students' learning achievement of quantum physics course. This type of research is quasi experiment with forms of research design is a 2x2 factorial design. The population in this study were all students of physical education in the school year 201

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Larasati, Gustina, and Irwan Baadilla. "The influence of Quantum Teaching learning Model on Science Learning Outcomes." DIDAKTIKA TAUHIDI: Jurnal Pendidikan Guru Sekolah Dasar 10, no. 2 (2023): 203–11. http://dx.doi.org/10.30997/dt.v10i2.9692.

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This study aims to determine the effect of the quantum teaching-learning model on the learning outcomes of science students in Grade V of SDN Balekambang 01 Pagi Jakarta academic year 2022-2023. Quantum teaching learning Model is a teaching that fosters a pleasant learning atmosphere by promoting curiosity and adding student experience, a type of quantitative research in the form of proper experimental design pretest–posttest control grub design. Samples were taken randomly from as many as 32 practical and 32 control class students. Based on the T-test, it is known that with a significance lev

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Bhagawati, Rupam, and Thiruselvan Subramanian. "Quantum-aided feature selection model – A quantum machine learning approach." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 3 (2023): 641–55. http://dx.doi.org/10.47974/jdmsc-1735.

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The accuracy of information retrieval systems is measured by the relevancy of retrieved results as per the user’s query. Relevant results are presented by performing various methods viz. indexing and crawling and the output of these processes is the retrieved results that have to pass through the ranking process which is the central goal of information retrieval systems. The ranking is carried out through the classification or clustering of processed results which can include redundant and noisy features. The accuracy of classification or clusters for the ranking process can be maximized by re

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Wadhwa, Chirag, and Mina Doosti. "Learning Quantum Processes with Quantum Statistical Queries." Quantum 9 (May 12, 2025): 1739. https://doi.org/10.22331/q-2025-05-12-1739.

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In this work, we initiate the study of learning quantum processes from quantum statistical queries. We focus on two fundamental learning tasks in this new access model: shadow tomography of quantum processes and process tomography with respect to diamond distance. For the former, we present an efficient average-case algorithm along with a nearly matching lower bound with respect to the number of observables to be predicted. For the latter, we present average-case query complexity lower bounds for learning classes of unitaries. We obtain an exponential lower bound for learning unitary 2-designs

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Lubis, Siti Zubaidah, Emmi Rahmi Nasution, and Lisna Wati Lubis. "Improving Student Learning Outcomes in Islamic Education Learning through the Quantum Learning Model at SD Negeri 0110 Hutarimbaru." Jurnal Profesi Guru Indonesia 1, no. 4 (2024): 96–103. https://doi.org/10.62945/jpgi.v1i4.399.

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Classroom Action Research Report Entitled "Improving Students' Learning Outcomes In Islamic Education Learning Through The Quantum Learning Model For Students At State Elementary School 1308 Hutarimbaru In The 2023/2024 Academic Year. This study aims to enhance student learning outcomes in Islamic Education at SD Negeri 1308 Hasahatan Julu through the implementation of the Quantum Learning model. Using a Classroom Action Research (CAR) approach, the research involved 30 fifth-grade students and focused on improving their participation, comprehension, and academic performance. The findings reve

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Andi Batara Al Isra and Manna Wassalwa. "Application of the Quantum Learning Model to PGMI Students in Mathematics Learning." Cendekiawan : Jurnal Pendidikan dan Studi Keislaman 2, no. 2 (2023): 236–41. http://dx.doi.org/10.61253/cendekiawan.v2i2.164.

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The application of learning models that are less effective and innovative can lead to low student learning outcomes, so a learning model is needed that is able to motivate students to improve learning outcomes, especially in mathematics content. This study aims to determine the increase in student learning outcomes who get the Quantum Teaching learning model at the PGMI major in mathematics learning. Quantum Teaching provides the view that students in the learning process are important not just sitting and listening, but students need to be active to find their own knowledge. The method used i

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Nasution, Khusnul Khotimah. "MODEL DAN STRATEGI PEMBELAJARAN QUANTUM TEACHING & LEARNING." Jurnal Al Wahyu 1, no. 1 (2023): 38–55. http://dx.doi.org/10.62214/jayu.v1i1.112.

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This research presents an exploration of the Quantum Teaching & Learning model and its associated strategies. Quantum Teaching & Learning is an innovative approach to education that blends various pedagogical methods, technology integration, and learner-centric practices. This study delves into the key components and principles of the model, emphasizing its adaptability to diverse educational settings and subjects. The research also investigates the effectiveness of Quantum Teaching & Learning in enhancing student engagement, critical thinking, and overall learning outcomes. Additi

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Yanuarti, Ary, and A. Sobandi. "UPAYA MENINGKATKAN HASIL BELAJAR SISWA MELALUI PENERAPAN MODEL PEMBELAJARAN QUANTUM TEACHING." Jurnal Pendidikan Manajemen Perkantoran 1, no. 1 (2016): 11. http://dx.doi.org/10.17509/jpm.v1i1.3261.

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Permasalahan dalam penelitian ini adalah rendahnya tingkat hasil belajar siswa. Model pembelajaran merupakan salah satu faktor yang dapat mempengaruhi hasil belajar siswa. Artikel ini membahas hasil penelitian kuasi eksperimen yang bertujuan untuk mengetahui peningkatan hasil belajar siswa melalui penerapan model pembelajaran Quantum Teaching. Design penelitian ini menggunakan Nonequivalent Control Group Design. Hasil penelitian menunjukkan bahwa model pembelajaran Quantum Teaching lebih cocok dalam upaya meningkatkan hasil belajar siswa dalam mempelajari Mata Pelajaran Korespondensi, kompeten

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Maulidi, Achmad. "Implementasi Model Pembelajaran Quantum Learning dalam Meningkatkan Motivasi Belajar." Fakta: Jurnal Pendidikan Agama Islam 2, no. 1 (2022): 13. http://dx.doi.org/10.28944/fakta.v2i1.698.

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Learning with the Quantum Learning model seeks to maximize all elements contained in learning including all the potential and abilities that exist in students. This is intended to make the learning carried out by the teacher maximum and the students also maximally absorb the material presented. The main focus of this study is to determine the application of the Quantum Learning learning model in increasing student learning motivation, the effectiveness of applying the model and the factors that support and hinder the application of the Quantum Learning learning model. Based on the results of t

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Unang Achlison, Dendy Kurniawan, Toni Wijanarko Adi Putra, and Siswanto Siswanto. "EXPLORATION OF AMPLITUDE CODING CAPACITIES FOR Q-ML MODEL." Journal of Engineering, Electrical and Informatics 2, no. 3 (2022): 34–49. http://dx.doi.org/10.55606/jeei.v2i3.916.

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Quantum computing implements computation adopting environmental phantasm and the foundation of quantum mechanics to clear up the issues. This design of calculation has been demonstrated to serve the acceleration of some modern processing issues. Current evolution in quantum technology is emerging, and the application of learning design to this current instrument is developing. With enough prospects, the application of quantum development in the area of Machine Learning has come clear. This research develops a TensorFlow Quantum (TF-Q) software framework model for machine learning functio

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Anjeli, Mardawila Adha, Martin Kustati, Nana Sepriyanti, Katryn Furmston, and Cristina Parenti. "Analysis of Quantum Teaching Model on Student’s Learning Outcomes." Ri'ayatu Al-Qur'an 6, no. 2 (2024): 13–20. http://dx.doi.org/10.62990/riqu.v6i2.50.

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The Quantum Teaching Model is one approach learning innovative designed to improve? motivation and results Study participant. This study aims to analyze?? the influence of the Quantum Teaching model on results Study participant based on review literature. The research method used is review literature with collect data from various source trusted like a journal scientific, theses, and dissertations. Research results show that the Quantum Teaching model has influence positive and significant to results Study participant educate in various eye lessons. These findings indicate that the Quantum Tea

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Geetha, Subbiah, S. Krishnakumar Shridevi, Asthana Nitin, Balaji Prasanalakshmi, and Vaiyapuri Thavavel. "Quantum transfer learning for image classification." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 21, no. 1 (2023): 113–22. https://doi.org/10.12928/telkomnika.v21i1.24103.

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Quantum machine learning, an important element of quantum computing, recently has gained research attention around the world. In this paper, we have proposed a quantum machine learning model to classify images using a quantum classifier. We exhibit the results of a comprehensive quantum classifier with transfer learning applied to image datasets in particular. The work uses hybrid transfer learning technique along with the classical pre-trained network and variational quantum circuits as their final layers on a small scale of dataset. The implementation is carried out in a quantum process

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Sigalingging, Raya, Darinda Sofia Tanjung, and Rumiris Lumban Gaol. "PENGARUH MODEL QUANTUM TEACHING TERHADAP HASIL BELAJAR SISWA PADA PEMEBELAJARAN TEMATIK KELAS V DI SEKOLAH DASAR." SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED 11, no. 3 (2021): 219–25. http://dx.doi.org/10.24114/sejpgsd.v11i3.27689.

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This study is a quantitative study that aims to determine the effect of the Quantum Teaching learning model on student learning outcomes conducted at SD Negeri 106144 Sei Mencharim 2020/2021. This research method is descriptive method. The population of this study were all fifth grade students of SD Negeri 106144 Sei Menistrim which consisted of one class with a total of 30 students. The results showed that the Quantum Teaching model was included in the good category with an average of 80.7, the correlation coefficient was 0.705, which means that r_count (0.705) r_table (0.361), then h_a is ac

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Trisnawati, Trisnawati, Wiwin Rita Sari, and Bernadhita Herindri S. Utami. "The Enhancement of Learning Mathematic’s Motivation by Using Application of Quantum Learning Model Teaching." International Journal of Trends in Mathematics Education Research 2, no. 4 (2019): 197–201. http://dx.doi.org/10.33122/ijtmer.v2i4.136.

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This study aims to describe the effectiveness of Quantum Teaching learning model on mathematics learning in terms of aspects of student learning motivation. The type of experiment in this study was quasi experimental research (quasi alphabets experiment) and experimental design that used up was one-Group Pretest-Posttest-. The population in this research was the whole grade VIII of SMPMuhammadiyah 1 Yogyakarta, which was grade VIII-D as sample. The independent variable in this study was a model of Quantum Learning Teaching and the dependent variable in this study was the studentmotivation math

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Siomau, Michael. "A quantum model for autonomous learning automata." Quantum Information Processing 13, no. 5 (2014): 1211–21. http://dx.doi.org/10.1007/s11128-013-0723-5.

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MASROKAH, M., S. UTAMININGSIH, SU’AD, and M. N. YERMAGAMBETOVA. "INFLUENCE OF QUANTUM TEACHING-LEARNING MODEL ON SOCIAL STUDIES LEARNING OUTCOMES." Iasaýı ýnıversıtetіnіń habarshysy 123, no. 1 (2022): 160–69. http://dx.doi.org/10.47526/2022-1/2664-0686.14.

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The purpose of this study was to determine the effect of the application of the quantum teaching-learning model on the learning outcomes of Theme 5 on the social studies content of grade V elementary school students in Demak Sub District. The research method used a quasi-experimental design. The research sample was class V Elementary School Bintoro Number 5 Elementary School (35 students). The control class was class V Elementary School Bintoro Number 2 with a total of 41 students. The sampling technique used purposive random sampling. Data analysis used t-test, by first doing data description

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Jerbi, Sofiene, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, and Vedran Dunjko. "Shadows of quantum machine learning." Nature Communications 15 (July 6, 2024): 5676. https://doi.org/10.1038/s41467-024-49877-8.

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Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage. However, a major obstacle to the widespread use of quantum machine learningmodels in practice is that these models, even once trained, still require access to a quantumcomputer in order to be evaluated on new data. To solve this issue, we introduce a class of quantum models where quantum resources are only required during training, while the deployment of the trained model is classical. Specifically, the training phase of our mod

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Syibran Mulasi, Warul Walidin, Syabuddin Syabuddin, and Salami Mahmud. "Konsepsi Quantum Learning; Suatu Analisis Learning Styles." Al-Tarbiyah : Jurnal Ilmu Pendidikan Islam 2, no. 3 (2024): 330–47. http://dx.doi.org/10.59059/al-tarbiyah.v2i3.1268.

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Improving the quality of learning is something that must be done well in school education, students who have diverse learning styles must be the main factor of teacher attention in order to be able to give meaning to learning well. To improve learning outcomes, one of them is through the application of the quantum learning model in the teaching and learning process. This research aims to find answers to the question of the effectiveness of using quantum learning in schools. Penalitian conducted by reviewing a variety of relevant literature both from journals and direct findings in the field. T

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Astuti, Wiji. "Model Quantum Learning untuk Meningkatkan Hasil Belajar Pecahan." Briliant: Jurnal Riset dan Konseptual 2, no. 2 (2017): 124. http://dx.doi.org/10.28926/briliant.v2i2.41.

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Penelitian ini bertujuan untuk mendiskripsikan penerapan model pembelajaran Quantum Learning pada materi pecahan dapat meningkatkan aktifitas belajar dan hasil belajar siswa. Subyek penelitian sebanyak 25 siswa. Berdasarkan hasil analisis diperoleh, hasil belajar siswa yang tuntas siklus I sebanyak 14 siswa dengan ketuntasan klasikal 56% dan meningkat pada siklus II sebanyak 21 siswa ketuntasan klasikal 84%. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa penerapan model pembelajaran Quantum Learning pada materi pecahan dapat meningkatkan aktifitas belajar siswa dan hasil belajar mat

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Samsiah, Samsiah, and Turdjai Turdjai. "APPLICATION OF QUANTUM LEARNING TO ENHANCE STUDENT LEARNING AND ACHIEVEMENT OF SELF-SUSTAINABILITY." Diadik: Jurnal Ilmiah Teknologi Pendidikan 9, no. 1 (2021): 90–97. http://dx.doi.org/10.33369/diadik.v9i1.17951.

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The purpose of describing the application of Quantum Learning l to the independence in improving of students study in economic subjects in SMA N 1 Lebong. Research methods the research was quasi experiment and class actions. The subject class IPS 1 X 1 as a class action for applying Quantum learning model and the number of students 28. The technique of data collection for Research Action class (PTK) uses observation sheets to observe the independence and test instruments to measure the achievement of the objectives of learning ability, and to test instrument use quasi experiment. Data analysis

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Wiyoko, Tri, Aprizan Aprizan, Riska Riska, and Titis Wulandari. "Improve Science Process Skills and Learning Outcomes with The Quantum Learning Model." IJIS Edu : Indonesian Journal of Integrated Science Education 3, no. 1 (2021): 9. http://dx.doi.org/10.29300/ijisedu.v3i1.3721.

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Learning in elementary schools that has not been optimal in involving students actively will have a negative impact on science process skills and learning outcomes. Students will be actively involved in learning if the applied learning model involves students to experience the learning process as a whole. This research is a Classroom Action Research (CAR) which is carried out in two cycles.. Retrieval of data using the observation sheet and learning outcome test questions. The results obtained indicate that the learning process with Quantum Learning can improve the science process skills of st

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Amanah, Ima Muslimatul, Siti Qomariyah, and Andi Sukandi. "Peran Quantum Learning Dalam Meningkatkan Secara Berlipat Target Belajar Bahasa Inggris Di SMA PGRI Cicurug." Faidatuna 4, no. 3 (2023): 20–30. https://doi.org/10.53958/ft.v4i3.279.

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This study aims to describe the concept of quantum learning model, the steps of applying quantum learning model, the role of quantum learning in increasing multiple learning targets, and the advantages and disadvantages of quantum learning model. Quantum learning model is a learning model that can make students directly experience problems, find their own answers to problems and activities in accordance with the competencies to be achieved. The research method used is descriptive qualitative research method. Qualitative descriptive research method according to Kirk and Miller, defines that qua

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Yusuf, Ahmad, and Nurhidayatullah Nurhidayatullah. "Pengembangan Model Bimbingan Belajar Quantum Learning Untuk Meningkatkan Kemandirian Belajar Siswa." JURKAM: Jurnal Konseling Andi Matappa 3, no. 2 (2019): 99. http://dx.doi.org/10.31100/jurkam.v3i2.459.

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Tujuan penelitian ini adalah: (1) Mengetahui gambaran kebutuhan siswa terhadap pengembangan model bimbingan belajar Quantum Learning di SMA Negeri 3 Pangkep. (2) Mengetahui gambaran uji keterpakaian (akseptabilitas) dan keberterimaan model bimbingan belajar Quantum Learning di SMA Negeri 3 Pangkep (3) Mengetahui gambaran model bimbingan belajar Quantum Learning yang dikembangkan oleh peneliti. Pendekatan dalam penelitian ini adalah penelitian dan pengembangan (research and development). Subjek dalam penelitian terdiri dari ahli praktisi bimbingan konseling, ahli bimbingan konseling dan siswa k

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Zou, Eric, Erik Long, and Erhai Zhao. "Learning a compass spin model with neural network quantum states." Journal of Physics: Condensed Matter 34, no. 12 (2022): 125802. http://dx.doi.org/10.1088/1361-648x/ac43ff.

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Abstract Neural network quantum states provide a novel representation of the many-body states of interacting quantum systems and open up a promising route to solve frustrated quantum spin models that evade other numerical approaches. Yet its capacity to describe complex magnetic orders with large unit cells has not been demonstrated, and its performance in a rugged energy landscape has been questioned. Here we apply restricted Boltzmann machines (RBMs) and stochastic gradient descent to seek the ground states of a compass spin model on the honeycomb lattice, which unifies the Kitaev model, Isi

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Mulyani, Ani, Lilis Suryani, Rizky Megawati, and Lina Marlina. "Tinjauan Perspektif Model Quantum Learning terhadap Minat Belajar Anak Usia Dini." JIIP - Jurnal Ilmiah Ilmu Pendidikan 6, no. 5 (2023): 2936–42. http://dx.doi.org/10.54371/jiip.v6i5.1976.

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Pendidikan dapat diartikan sebagai suatu proses atau aktivitas yang bertujuan agar terjadi perubahan perilaku menjadi lebih baik. Pendidikan pun telah banyak melakukan perbaharuan terhadap model pembelajaran. Salah satu Inovasi model pembelajaran tersebut adalah model Quantum learning. Tujuan penelitian ini adalah untuk mengetahui bagaimana minat anak usia dini dapat meningkat dalam proses pembelajaran menggunakan model pembelajaran quantum learning. Penelitian ini adalah penelitian studi literatur (study literature) menggunakan metode kualitatif, Pengumpulan data peneliti menggunakan Sumber r

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M., Mounika, Sahithi L., Prasanna Lakshmi K., Praveenya K., and Ashok Kumar N. "Quantum driven deep learning for enhanced diabetic retinopathy detection." World Journal of Advanced Research and Reviews 22, no. 1 (2024): 055–60. https://doi.org/10.5281/zenodo.14187617.

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Traditional convolutional neural networks (CNNs) have shown potential for recognizing retinopathy caused by diabetes (DR). However, developing quantum computing has the possibility for improved feature representation. We propose a hybrid approach that combines classical CNNs with quantum circuits to capitalize on both classical and quantum information for DR classification. Using the Keras and Qiskit frameworks, our model encodes picture features into quantum states, allowing for richer representations. Through experiments on a collection of retinal pictures, our model displays competitive per

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Gumay, Ovilia Putri Utami, Nindya Heidi, and Ahmad Amin. "Efektivitas Model Pembelajaran Quantum Teaching terhadap Hasil Belajar Fisika." Science and Physics Education Journal (SPEJ) 2, no. 1 (2018): 36–41. http://dx.doi.org/10.31539/spej.v2i1.465.

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This study aims to determine the completeness of learning outcomes and student learning activities on learning physics with Quantum Teaching learning model. The method used is experiment. The population to be used in this research is all students of class X computer network technique. Class X computer network technique 1 as a sample in this study. Data collection techniques used are test and observation techniques. Data were analyzed using t-test. based on result of t-test analysis obtained tcount> ttable = (4,206>1,6973) which means Ha accepted. So it can be concluded that the Use of Le

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Aenal Yaqin, Achmad. "Improving Student's Conceptual Understanding and Metacognitive Strategies through Quantum Learning Model with Concept Map Techniques." SEAQIS Journal of Science Education 2, no. 02 (2022): 29–38. http://dx.doi.org/10.58249/sjse.v2i02.59.

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Nowadays, we commonly find students’ low interest toward science learning, students’ low understanding of science concept, and low impact of learning process toward students’ thinking skills. This study aims to identify the improvement of students’ conceptual understanding and metacognitive when applying quantum learning model with mind mapping at learning process. This study also describes the metacognitive strategies in quantum learning model using mind map. A mixed methodology was used in this study. The results show that students who studied using quantum learning model with mind mapping h

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Anisa, Anisa, Rosane Medriati, and Desy Hanisa Putri. "PENGARUH MODEL QUANTUM LEARNING TERHADAP PEMAHAMAN KONSEP DAN HASIL BELAJAR SISWA KELAS X." Jurnal Kumparan Fisika 2, no. 3 (2019): 201–8. http://dx.doi.org/10.33369/jkf.2.3.201-208.

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ABSTRAK Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh pemahaman konsep dan hasil belajar pada konsep momentum dan impuls antara siswa yang diajar dengan model Quantum Learning dan siswa yang diajarkan dengan model Direct Instruction. Penelitian ini merupakan penelitian kuasi eksperimen. Sampel penelitian ini diambil dengan teknik purposive sampling, kelas X MIPA 2 sebagai kelas eksperimen dan kelas X MIPA 3 sebagai kelas kontrol. Pengambilan data penelitian dengan menggunakan tes pemahaman konsep dan hasil belajar berupa soal uraian pada konsep momentum dan impuls. Analisi

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Rohana, Siti, Indayana Febriani Tanjung, and Efrida Pima Sari Tambunan. "Comparison of the Quantum Teaching Learning Model and the Concept Sentence Learning Model to the Learning Outcomes of Biology in Class X Students at MA Boarding Darul Qur'an." International Journal of Research and Review 10, no. 3 (2023): 477–82. http://dx.doi.org/10.52403/ijrr.20230355.

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This study aims to determine the comparison of the quantum teaching learning model and the concept sentence learning model on biology learning outcomes for class X MA students at MA Pondok Pesantren Darul Qur’an. This research is a quantitative research with a quasi-experimental research type. The population in this study were all of class X MA Pondok Pesantren Darul Qur'an, totaling 107 students. The sample used in this research is part of the target population consisting of two classes which are determined by cluster random sampling. So that the sample used was class X MIA-2 as experimental

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Lee, Junyong, Jeihee Cho, and Shiho Kim. "Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (2025): 18137–44. https://doi.org/10.1609/aaai.v39i17.33995.

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In the Noisy Intermediate-Scale Quantum (NISQ) era, using variational quantum algorithms (VQAs) to solve optimization problems has become a key application. However, these algorithms face significant challenges, such as choosing an effective initial set of parameters and the limited quantum processing time that restricts the number of optimization iterations. In this study, we introduce a new framework for optimizing parameterized quantum circuits (PQCs) that employs a classical optimizer, inspired by Model-Agnostic Meta-Learning (MAML) technique. This approach aim to achieve better parameter

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Azmi, Irham, Saiful Prayogi, and Muhammad Asy'ari. "Implementing the Quantum Learning Model to Enhance Students' Physics Learning Outcomes." Lensa: Jurnal Kependidikan Fisika 11, no. 1 (2023): 1. http://dx.doi.org/10.33394/j-lkf.v11i1.8558.

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The students' mastery of the subject matter has been identified to not reach the attainment indicator. The low learning outcomes of the students are suspected to be a result of the predominantly lecture-based teaching method, leading to passive engagement in the learning process. This research aims to describe the improvement in students' physics learning outcomes on the topic of quantities and units using the quantum learning model. The study employed a classroom action research conducted in two cycles, including planning, implementation, observation, evaluation, and reflection stages. Twenty

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Marshall, Simon C., Casper Gyurik, and Vedran Dunjko. "High Dimensional Quantum Machine Learning With Small Quantum Computers." Quantum 7 (August 9, 2023): 1078. http://dx.doi.org/10.22331/q-2023-08-09-1078.

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Quantum computers hold great promise to enhance machine learning, but their current qubit counts restrict the realisation of this promise. To deal with this limitation the community has produced a set of techniques for evaluating large quantum circuits on smaller quantum devices. These techniques work by evaluating many smaller circuits on the smaller machine, that are then combined in a polynomial to replicate the output of the larger machine. This scheme requires more circuit evaluations than are practical for general circuits. However, we investigate the possibility that for certain applica

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Marshall, Simon C., Casper Gyurik, and Vedran Dunjko. "High Dimensional Quantum Machine Learning With Small Quantum Computers." Quantum 7 (August 9, 2023): 1078. https://doi.org/10.22331/q-2023-08-09-1078.

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Quantum computers hold great promise to enhance machine learning, but their current qubit counts restrict the realisation of this promise. To deal with this limitation the community has produced a set of techniques for evaluating large quantum circuits on smaller quantum devices. These techniques work by evaluating many smaller circuits on the smaller machine, that are then combined in a polynomial to replicate the output of the larger machine. This scheme requires more circuit evaluations than are practical for general circuits. However, we investigate the possibility that for certain applica

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