MicroCloud Launches FPGA-Based Quantum Computing Platform

Written by Emily J. Thompson, Senior Investment Analyst

Source: Newsfilter

Updated: 5 days ago

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Source: Newsfilter

Quantum Computing Platform Launch: MicroCloud Hologram Inc. has launched an FPGA-based hardware abstraction technology platform for quantum computing, utilizing a resource-efficient quantum circuit abstraction method that simulates qubit storage, measurement, and phase-shift operations on FPGA, marking a significant technological breakthrough that is expected to accelerate the industrialization of quantum information technology.
Resource Optimization Design: The platform transforms the representation of quantum states from mathematical descriptions into a vectorized structure suitable for FPGA storage, significantly reducing FPGA resource consumption and ensuring stable qubit storage in low-resource environments, thereby enhancing the feasibility and application range of quantum computing.
Efficient Quantum Gate Operations: MicroCloud's approach decomposes common quantum gates into logic operations, avoiding the high computational overhead of full matrix multiplication, which allows for efficient simulation of single-qubit and small-scale multi-qubit operations, meeting the energy efficiency requirements of embedded systems and improving overall performance.
Flexible Architecture Design: The system allows for dynamic trade-offs between resource consumption and simulation accuracy, enabling adjustments to fixed-point quantization precision based on error requirements for different quantum gate operations, showcasing broad application potential in quantum computing and promoting the integration of traditional electronic engineering with quantum computing.

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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 Launches Quantum Computing Platform

5 days agoPRnewswire

Quantum Computing Platform Launch: MicroCloud Hologram has introduced an FPGA-based hardware abstraction technology platform for quantum computing, employing a resource-efficient quantum circuit abstraction method that enables low-power realization of quantum state storage, phase regulation, and probability measurement, thus accelerating the industrialization of quantum information technology.
Resource Optimization Design: The R&D team transformed the representation of quantum states from mathematical descriptions into vectorized structures suitable for FPGA storage, significantly reducing FPGA resource consumption and ensuring stable qubit storage in low-resource environments, thereby enhancing system energy efficiency and stability.
Phase Rotation Innovation: Utilizing a lookup-table (LUT)-based phase rotation accumulation method combined with the CORDIC algorithm, the platform optimizes the real-time performance and controllability of quantum gate operations, avoiding excessive computational resource overhead in small-scale multi-qubit operations, thus meeting the energy efficiency requirements of embedded systems.
Flexible Architecture Design: The platform allows for dynamic trade-offs between resource consumption and simulation accuracy, enabling adjustments to fixed-point quantization precision based on error requirements for different quantum gate operations, thereby enhancing the system's adaptability and flexibility across various application scenarios.