#China #Shenzhen #Quantum Computing #MicroCloud #Hologram

MicroCloud Hologram Inc.: Pioneering FPGA-Based Technology for Quantum Computing

In a groundbreaking development, MicroCloud Hologram Inc. (NASDAQ: HOLO), a prominent player in technology services, has unveiled its independently developed FPGA-based hardware abstraction technology platform tailored specifically for quantum computing systems. This innovative platform is designed to efficiently manage the complexities of quantum circuits while ensuring optimal resource utilization.

The HRD team at MicroCloud has conducted extensive research focusing on crucial aspects such as quantum state storage, mathematical representations of quantum gates, and probability measurement processes. Instead of striving to replicate expansive quantum systems, they've turned their attention towards the core principles of quantum computing—state storage, phase shift control, and probability measurement—transforming these elements into hardware modules amenable to implementation within FPGA layouts.

The defining ambition behind this initiative is to establish a robust, lightweight, and scalable hardware abstraction layer that lays the groundwork for future advancements in quantum algorithm hardware acceleration, quantum control systems, and quantum-embedded devices.

The initial focus involved reimagining the state representation of individual qubits. In essence, a qubit, represented mathematically as |ψ⟩ = α|0⟩ + β|1⟩, can be stored as a vector of complex amplitudes. However, conventional methods of storing these complex numbers in FPGAs are resource-intensive. Consequently, the team adopted a fixed-point normalized vector storage model, optimizing the mapping of complex amplitudes into look-up table (LUT) groups and register banks, significantly curbing FPGA resources while ensuring reliable qubit storage even in low-resource environments.

When considering quantum state evolution, the team decided against the conventional matrix multiplication approach for executing quantum gate operations. Instead, they decomposed commonly used quantum gates—including variants like Pauli-X and Hadamard—into direct logic operations suitable for FPGA execution. This approach enables the simulation of both single-qubit and small-scale multi-qubit operations while maintaining energy efficiency, making it particularly applicable for embedded systems.

A pivotal challenge in quantum computing involves simulating quantum gates reliant on phase shifts. Unlike classical Boolean logic, phase-shift gates adjust the phase of quantum state amplitudes rather than simply flipping bits. Addressing this engineering challenge, the MicroCloud team implemented a LUT-based phase rotation accumulation technique. They utilized fixed-point complex number representations for qubits, abstracting phase-shift operations as transformations applied to the real and imaginary components. This involved pre-quantizing and storing necessary sine and cosine values within FPGA ROM or Block RAM (BRAM), fostering a simplified architecture enabling complex multiplication via combinational logic.

To further streamline resource consumption, engineers applied the CORDIC (Coordinate Rotation Digital Computer) methodology, using a series of shifts and additions for effective rotational simulation. This technique not only enhances hardware-level phase-shift operations but also ensures that overall quantum gate functionalities boast heightened real-time efficiency and controllability.

During the design phase, an emphasis was placed on the flexible nature of the abstraction layer architecture. This system accommodates dynamic adjustments in resource usage and simulation accuracy. For instance, the precision of fixed-point quantization is modifiable to align with the accuracy requirements of varying quantum gate operations. Additionally, the phase storage table can be expanded according to specific task requirements, while the measurement module's randomness can be derived from diverse seeds and random sources, catering to different application scenarios.

The FPGA-based quantum computing system hardware abstraction technology introduced by MicroCloud Hologram marks a notable evolution in achieving functions such as quantum state storage, phase regulation, and probability measurement—all within a low-power, highly stable hardware logic framework. This innovation holds promise for advancing the entire quantum technology landscape, fostering closer integration between quantum computing and conventional electronics, while accelerating the commercialization of quantum information technology.

About MicroCloud Hologram Inc.

MicroCloud Hologram Inc. is dedicated to the research, development, and application of holographic technology. Their portfolio spans a spectrum of services, including holographic LiDAR solutions, sensor chip designs, and cutting-edge holographic imaging technology, aimed at enhancing advanced driving assistance systems. With a commitment to becoming a global frontrunner in quantum holography and computing technologies, MicroCloud remains focused on leveraging its unique capabilities to serve worldwide clientele.

This press release contains forward-looking statements regarding MicroCloud Hologram Inc., which involve inherent risks and uncertainties. Potential investors are encouraged to review the company's filings with the SEC for further information on these matters.