MicroCloud Hologram introduced an independently developed FPGA-based hardware abstraction platform designed to handle quantum computing’s core functions: state storage, phase-shift control, and probability measurement. This platform aims to provide a stable, scalable hardware layer for future quantum algorithm acceleration, control systems, and embedded quantum devices.

The R&D team converted qubit state vectors into normalized fixed-point representations stored within LUT groups and register banks, minimizing FPGA resource use. Common gates like Pauli-X, Hadamard, and Rz are decomposed into combinational logic units, enabling efficient single-qubit and small-scale multi-qubit operations without full matrix multiplications.

Phase-shift gates are implemented via a lookup-table method storing pre-quantized sine and cosine values in FPGA ROM/BRAM. By employing the CORDIC algorithm—which uses shifts and additions for rotation—HOLO achieves hardware-level phase operations in a compact logic footprint for real-time performance.

The abstraction layer supports dynamic trade-offs between resource consumption and simulation accuracy through adjustable quantization precision and expandable phase tables. This low-power, high-stability solution is expected to foster integration of quantum computing with traditional electronics and accelerate quantum information technology industrialization.