Technology
MicroAlgo Inc. Develops Quantum Convolutional Neural Network (QCNN) Architecture to Enhance the Performance of Traditional Computer Vision Tasks Using Quantum Mechanics Principles
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical convolutional neural networks. They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.
About this update from Microalgo, Inc.
[{"type":"text","content":"SHENZHEN, China, May 12, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical convolutional neural networks. They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.","length":474,"tagName":"p"},{"type":"text","content":"The Quantum Convolutional Neural Network (QCNN) architecture is an innovative computational model that cleverly combines the parallelism of quantum computing with the feature extraction capabilities of classical convolutional neural networks. In QCNN, quantum bits (qubits) serve as the basic carrier of information, utilizing the properties of quantum superposition and entanglement to achieve parallel processing of multiple computational tasks. At the same time, drawing inspiration from the structure of classical convolutional neural networks—such as convolution layers, pooling layers, and fully connected layers—QCNN extracts features, reduces dimensions, and classifies image data, thereby enhancing both computational speed and image recognition accuracy.","length":764,"tagName":"p"},{"type":"text","content":"Computer vision aims to enable computers to understand and analyze visual data, such as images or videos, much like the human visual system, involving tasks such as image recognition, object detection, and image segmentation. Quantum computing, with its unique quantum properties like superposition and entanglement, possesses powerful parallel computing capabilities and specialized methods of information processing.","length":418,"tagName":"p"},{"type":"text","content":"Data Preparation: Image or video data is collected from multiple channels, then screened and organized to remove low-quality or non-compliant data. The remaining data is preprocessed, including normalizing pixel values, resizing images, and correcting and enhancing colors to meet the specifications for subsequent processing.","length":326,"tagName":"p"},{"type":"text","content":"Quantum State Encoding: Following specific rules, the preprocessed image features are mapped onto quantum bits and converted into quantum states. By utilizing the p...