MicroCloud Hologram Inc. Unveils Quantum Algorithm Hardware Acceleration Technology with 1.7x Performance Boost
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 16 2026
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Source: PRnewswire
- Technological Innovation: MicroCloud Hologram's proposed hardware acceleration technology converts quantum tensor network algorithms into parallel computing circuits that run on FPGAs, achieving efficient quantum spin model simulations and marking a new path for quantum physics research.
- Performance Breakthrough: This technology enables complex tensor network computational tasks to run 1.7 times faster on FPGAs compared to CPUs, while also improving energy efficiency by over 2 times, significantly reducing memory access consumption and control overhead.
- Architectural Design: By constructing a Hierarchical Tensor Contraction Pipeline, MicroCloud has achieved a high-density parallel computing architecture that optimizes data flow scheduling and enhances the parallelism of computing units, ensuring maximum computational throughput under limited logic resources.
- Future Outlook: MicroCloud plans to further advance the hardware implementation of quantum computing core modules, including quantum variational algorithms and FPGA-ization of quantum machine learning models, aiming to build a complete quantum algorithm acceleration ecosystem and promote the industrialization of quantum technology.
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About HOLO
MicroCloud Hologram Inc is a holding company mainly engaged in providing holographic solutions and technology services. The Company operates two segments. The Holographic Solutions segment is mainly engaged in high-precision holographic light detection and ranging (LiDAR) solutions, exclusive holographic LiDAR point cloud algorithms architecture design, holographic imaging solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology. The Holographic Technology Services segment offers holographic digital twin technology services and has built a proprietary holographic digital twin technology resource library. The Company's products and solutions are mainly applied in the automotive industry, robots, unmanned aerial vehicles (UAVs), advanced security systems, intelligent city development, industrial automation, environment, and mapping. The Company mainly operates in the domestic markets.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
MicroCloud Hologram (HOLO) Unveils Quantum Algorithm Hardware Acceleration Technology with 1.7x Performance Boost
- Technological Innovation: MicroCloud Hologram's proposed hardware acceleration technology converts quantum tensor network algorithms into parallel computing circuits that run on FPGAs, achieving efficient quantum spin model simulations and marking a new path for quantum physics research.
- Performance Breakthrough: This technology enables complex tensor network computational tasks to operate 1.7 times faster on FPGAs than on CPUs, with energy efficiency improved by over 2 times, significantly enhancing the efficiency of hardware implementations of quantum algorithms.
- Architectural Design: By constructing a Hierarchical Tensor Contraction Pipeline, MicroCloud Hologram achieves high-density parallel computing, optimizing memory access and control overhead, laying the groundwork for the hardware implementation of quantum computing core modules.
- Future Outlook: The company plans to advance the FPGA implementation of quantum variational algorithms, quantum linear system solvers, and other core modules, aiming to build a complete quantum algorithm acceleration ecosystem and promote the industrialization of quantum technology.
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MicroCloud Hologram Inc. Unveils Quantum Algorithm Hardware Acceleration Technology with 1.7x Performance Boost
- Technological Innovation: MicroCloud Hologram's proposed hardware acceleration technology converts quantum tensor network algorithms into parallel computing circuits that run on FPGAs, achieving efficient quantum spin model simulations and marking a new path for quantum physics research.
- Performance Breakthrough: This technology enables complex tensor network computational tasks to run 1.7 times faster on FPGAs compared to CPUs, while also improving energy efficiency by over 2 times, significantly reducing memory access consumption and control overhead.
- Architectural Design: By constructing a Hierarchical Tensor Contraction Pipeline, MicroCloud has achieved a high-density parallel computing architecture that optimizes data flow scheduling and enhances the parallelism of computing units, ensuring maximum computational throughput under limited logic resources.
- Future Outlook: MicroCloud plans to further advance the hardware implementation of quantum computing core modules, including quantum variational algorithms and FPGA-ization of quantum machine learning models, aiming to build a complete quantum algorithm acceleration ecosystem and promote the industrialization of quantum technology.
Continue Reading