MicroCloud Hologram Inc. (NASDAQ: HOLO) announced the launch of an FPGA-based hardware abstraction technology platform for quantum computing systems on March 31, according to a company press release.

The Shenzhen-based technology service provider said its platform uses a resource-efficient quantum circuit abstraction method that can simulate qubit storage, measurement, and phase-shift operations on Field-Programmable Gate Array (FPGA) hardware.

The company's research and development team developed an architecture that transforms quantum computing's core characteristics—state storage, phase-shift control, and probability measurement—into hardware modules that can be implemented within FPGA layouts. The system aims to provide a foundation for quantum algorithm hardware acceleration, quantum control systems, and quantum embedded devices.

MicroCloud Hologram's approach converts single qubit state representation from mathematical description into a vectorized structure suitable for FPGA storage and logic operations. The company uses a fixed-point, normalized vector storage scheme to reduce FPGA resource usage while maintaining stable qubit storage in low-resource environments.

For quantum gate operations, the company decomposed common quantum gates, including Pauli-X, Hadamard, and Rz phase-shift gates, into logic operations that FPGA can execute directly through combinational logic units. This method enables simulation of single-qubit and small-scale multi-qubit operations while avoiding high computational resource overhead.

The platform implements phase-shift operations using a lookup-table-based phase rotation accumulation method. The team pre-quantized and stored sine and cosine values required for rotation in FPGA ROM or BRAM and used the CORDIC method to simulate rotation through shifts and additions.

The system allows dynamic adjustments between resource consumption and simulation accuracy, with configurable fixed-point quantization precision and expandable phase storage tables to meet different application requirements.