MicroCloud Hologram has developed an FPGA-based high-performance surface code quantum simulation platform designed to validate error correction algorithms in real time, leveraging the parallelism and reconfigurability of FPGA hardware. The platform supports rotated distance surface codes to enable efficient simulation of large-scale quantum systems on a standard FPGA board.

The simulator’s core innovation lies in its optimized rotated surface code layout, which reduces required physical qubits by nearly half compared to traditional surface codes (data qubits: (d²+1)/2, ancilla qubits: (d²–1)/2) while maintaining equivalent error correction thresholds. This design minimizes hardware resource demands and accelerates algorithm validation for systems with constrained qubit counts.

FPGA acceleration enables massive parallel processing of stabilizer measurements and noise simulations, mapping qubit states to logic units and executing error injection and correction loops concurrently across millions of configurable logic elements. The platform’s reconfigurable grid generator and parameterized architecture allow dynamic adjustment of code distance and rotation parameters without redesigning hardware logic.

By providing real-time, high-fidelity simulations of quantum error correction schemes, the new platform aims to support quantum hardware developers and researchers in prototype testing and algorithm optimization, potentially shortening development cycles and lowering entry barriers for emerging quantum computing projects.