https://publikasi.dinus.ac.id/jimat <ul> <li data-section-id="178nfgz" data-start="652" data-end="682"><strong data-start="654" data-end="669"><strong data-start="654" data-end="669">Journal Title </strong></strong>: Journal of Multiscale Materials Informatics (JIMAT)</li> <li data-section-id="178nfgz" data-start="652" data-end="682"><strong data-start="654" data-end="669">Online ISSN </strong>: <a href="https://portal.issn.org/resource/ISSN/3047-5724">3047-5724</a> </li> <li data-section-id="1cophpi" data-start="683" data-end="746"><strong data-start="685" data-end="710">Publication Frequency </strong>: Twice a year (April and October)</li> <li data-section-id="hvzwrv" data-start="747" data-end="781"><strong data-start="749" data-end="763">DOI Prefix </strong>: 10.62411/jimat</li> <li data-section-id="14slcsv" data-start="782" data-end="847"><strong data-start="784" data-end="800">Publisher </strong>: Universitas Dian Nuswantoro</li> </ul> <p data-start="220" data-end="702">JIMAT is a peer-reviewed international journal covering the foundations, theories, and applications of computer science and materials science. All accepted articles are published online, assigned a <strong>DOI via CrossRef</strong>, and made <strong>freely accessible under an Open Access</strong> model with <strong>no article processing charges (APC)</strong>.</p> <h2 data-section-id="1gm9c2a" data-start="197" data-end="218"> </h2> <h2 data-section-id="1gm9c2a" data-start="197" data-end="218"><span role="text"><strong data-start="200" data-end="218">Aims and Scope</strong></span></h2> <p data-start="220" data-end="702">JIMAT publishes high-quality, interdisciplinary research in <strong>artificial intelligence</strong>, <strong>data science</strong>, and <strong>computational methods</strong> and welcomes original research papers in, but not limited to, the following areas:</p> <p>Artificial Intelligence and Intelligent Systems<br />Big Data Analytics and Knowledge Discovery<br />Data Science and Data Mining <br />Machine Learning and Deep Learning</p> <p>Computer Vision and Image Processing<br />Natural Language Processing and Speech Processing<br />Pattern Recognition and Signal Processing</p> <p>Cloud Computing and Distributed Systems<br />Cybersecurity, Cryptography, and Information Security<br />Internet of Things and Smart Systems</p> <p>Information Systems and Data Infrastructure<br />Quantum Computing and Quantum Information<br />Soft Computing and Computational Science</p> <p>Bioinformatics and Computational Biology<br />Chemoinformatics and Data-Driven Chemistry<br />Materials Informatics and Scientific Data Analysis</p> <p data-start="790" data-end="1031"><span style="font-family: 'Noto Sans', 'Noto Kufi Arabic', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;">Special emphasis is placed on emerging, interdisciplinary research that</span><strong style="font-family: 'Noto Sans', 'Noto Kufi Arabic', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;" data-start="1593" data-end="1828"> integrates artificial intelligence, advanced computational methods, and domain knowledge </strong><span style="font-family: 'Noto Sans', 'Noto Kufi Arabic', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;">to address complex real-world challenges in science and engineering.</span></p> Universitas Dian Nuswantoro en-US Journal of Multiscale Materials Informatics 3047-5724 <p><em>Authors who publish their articles in this journal agree to the following conditions:</em></p><ul><li><em>Copyright remains with the author and gives the JIMAT journal the right as first priority to publish the article under a Creative Commons Attribution License which allows articles to be shared with acknowledgment of the author of the article and this journal as the place of publication.</em></li><li><em>Authors can distribute their published articles non-exclusively (for example: in university repositories or in books) with notification or acknowledgment of publication in JIMAT.</em></li><li><em>Authors are permitted to list their work online (for example: on a personal website or in a university repository) before and after the submission process (see The Effect of Open Access).</em></li></ul> https://publikasi.dinus.ac.id/jimat/article/view/17109 <p>This study explores Quantum Convolutional Neural Network (QCNN) starting from foundational quantum operations, such as the Rx gate for encoding MNIST image data into quantum states. We implemented quantum convolutional and pooling layers using one_unitary and two_unitary circuits, enabling effective feature extraction and dimensionality reduction while preserving critical information. Expressibility analysis revealed varying capabilities across different one_unitary circuits, with Rx, Ry, and Rz combinations demonstrating promising results akin to Haar random states. The proposed QCNN model exhibited robust performance metrics (accuracy: 95.98%, precision: 94.44%, recall: 96.59%, F1-score: 0.9551, AUC: 0.9604) in classification tasks, supported by efficient convergence during optimization. Future directions include expanding QCNN applications to handle more complex datasets and optimizing architectures to enhance quantum machine learning capabilities, particularly in image processing. This study underscores the potential of QCNNs in advancing quantum computing applications in neural network architectures.</p> <p>&nbsp;</p> Reza Pamungkas Putra Sukanli Muhamad Akrom Copyright (c) 2026 Journal of Multiscale Materials Informatics 2026-07-25 2026-07-25 3 2 1 9 10.62411/jimat.v3i2.17109