SHENZHEN, China – MicroCloud Hologram Inc. (NASDAQ: HOLO), a $35 million market cap technology services provider currently trading at $1.66 per share, announced the development of quantum algorithm technology designed to improve the performance of deep convolutional neural networks (CNN). ) by exploiting the capabilities of quantum computing. According to InvestPro analysis, the company appears undervalued based on its fair value metrics. The company’s Quantum Convolutional Neural Network (QCNN) aims to replicate classical CNN outputs while improving computing efficiency and overcoming quantum computing challenges such as implementing nonlinear operations .
The QCNN architecture uses quantum state coding to map high-dimensional data into quantum states, thereby facilitating parallel convolution operations and reducing computational complexity. Quantum convolution kernels extract features from data at quantum speed, and a measurement-based approach has been developed for nonlinear activation functions, thereby preserving quantum superposition.
HOLO’s optimization algorithm for QCNN training integrates quantum gradient calculation with gradient descent methods, enabling efficient network parameter updates. Numerical simulations have shown that QCNNs can achieve classification accuracy comparable to conventional CNNs, but with greater computational speed and resource efficiency, especially with large datasets.
This technology has practical applications in various fields, including medical image analysis, where QCNN can detect anomalies quickly and accurately, and autonomous driving, where it can process environmental information in real time. The company also sees potential for QCNN in natural language processing and financial data analysis.
Although significant progress has been made, HOLO recognizes that challenges such as optimizing quantum circuits for larger data sets and overcoming the limitations of quantum computing hardware persist. The company plans to continue research into designing robust quantum algorithms and monitor advances in quantum hardware. With a strong liquidity position evidenced by a quick ratio of 13.53 and more cash than debt on its balance sheet, HOLO maintains financial flexibility to continue its R&D investments, despite a drop in revenue of 29.79 % from one year to the next.
QCNN represents an important step in the integration of quantum technology and artificial intelligence, with the potential to revolutionize fields such as healthcare, transportation, finance and basic science. As quantum computing hardware advances, the potential of QCNN is expected to expand, marking an important milestone in the development of next-generation intelligent systems. For investors interested in a more in-depth analysis of HOLO’s potential, InvestPro offers 14 additional investment tips and comprehensive financial metrics to assess the company’s growth prospects.
The information in this article is based on a press release from MicroCloud Hologram Inc.
Separately, MicroCloud Hologram Inc. has made significant progress in its quantum computing technology. The company has developed a new quantum technology protocol that improves the control and fidelity of qubit operation, marking a significant advancement in this field. This protocol, based on the quantum adiabatic theorem, enables high-precision energy control and suppresses charging noise, a common problem in quantum control.
Additionally, MicroCloud Hologram researchers have achieved quantum state fidelities of up to 99% with single- and dual-qubit gate operations. Despite operational challenges, as noted by InvestingPro, the company’s recent advancements are expected to contribute significantly to the quantum information processing industry.
These advancements are part of MicroCloud Hologram’s recent developments, demonstrating the company’s continued commitment to perfecting its technology and expanding the capabilities and applications of quantum gates. The company’s research focuses on three key areas: the selection and preparation of quantum bits, the construction of quantum tensor networks, and the simulation of the dynamics of infinite entangled states. These advances mark a notable progression in quantum computing technology.
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