Prnewswireยท2025-10-02 15:00Core Viewpoint - MicroCloud Hologram Inc. has introduced a groundbreaking technology, the Multi-Class Quantum Convolutional Neural Network (QCNN), which aims to enhance multi-class classification tasks by leveraging the advantages of quantum computing, marking a significant step towards the practical industrialization of quantum machine learning [1][9]. Technology Development - The QCNN technology integrates quantum algorithms with convolutional neural networks, achieving superior performance in complex classification tasks compared to traditional neural networks, especially as the number of categories increases [1][2]. - QCNN utilizes parameterized quantum circuits to simulate core operations of convolutional neural networks, enabling efficient modeling of complex feature distributions through quantum gate operations and entangled states of qubits [3][4]. Technical Implementation - The training of QCNN differs from classical neural networks by optimizing parameterized quantum circuits using a cross-entropy loss function and the PennyLane framework for automatic differentiation [4]. - Two optimization methods are employed: one based on polynomial approximations for high-precision gradient estimation and another using finite difference methods for computational flexibility, enhancing training convergence and addressing gradient vanishing issues [4][5]. Computational Efficiency - QCNN demonstrates remarkable computational efficiency, particularly in scenarios with fewer parameters, leading to shorter training times and potential advantages in energy consumption and cost control as quantum hardware advances [5][6]. Strategic Importance - The development of QCNN is a strategic move for MicroCloud, positioning the company at the forefront of the quantum computing revolution, with applications anticipated in fields such as speech recognition, medical diagnostics, financial risk control, and autonomous driving [6][7]. - The technology is seen as a cornerstone of the company's quantum intelligence strategy, aiming to build an intelligent computing platform that redefines the logic of intelligent computing beyond traditional artificial intelligence [8][9].