MicroCloud Hologram Inc. (NASDAQ: HOLO) announced the launch of an FPGA-based quantum simulation platform designed for surface code quantum error correction, according to a company press release.

The platform uses Field-Programmable Gate Array technology to simulate rotated distance surface codes, which the company states can reduce the number of required physical qubits while maintaining error correction capabilities. The simulator maps surface code grid structures onto FPGA logic units and implements stabilizer measurements as parallel circuit modules.

According to the company's benchmark tests, the simulator achieves more than a 5-fold speed increase compared to GPU-based simulators when simulating distance-5 rotated codes, while reducing power consumption by 30%. The platform supports various noise models including depolarizing noise and bit-flip noise, implemented through random number generators.

The system uses the Minimum Weight Perfect Matching algorithm for syndrome decoding, which has been optimized for parallel processing on FPGA hardware. The simulator supports real-time feedback loops that allow users to inject custom error patterns and observe error correction effects.

The implementation includes a reconfigurable grid generator module that configures surface code layouts based on user-input parameters. The platform uses Monte Carlo methods to estimate error rates across multiple simulation instances.

MicroCloud Hologram provides holographic technology services including LiDAR solutions and digital twin technology. The company has stated cash reserves exceeding $390 million and plans to invest over $400 million in quantum computing research and development.