Core Viewpoint - MicroCloud Hologram Inc. has proposed an innovative hardware acceleration technology that converts quantum tensor network algorithms into parallel computing circuits on field programmable gate arrays (FPGA), enabling efficient quantum spin model simulation on classical hardware [1][11]. Technology Development - The company focuses on algorithm-hardware co-design, breaking down tensor network algorithms into computational units that can be directly implemented in hardware, thus creating a high-density parallel scalable architecture using FPGA [5][11]. - HOLO's technology achieves a performance improvement of 1.7 times faster than traditional CPU computations and more than 2 times improved energy efficiency [11]. Implementation Details - A Hierarchical Tensor Contraction Pipeline has been constructed, consisting of three main layers: input and scheduling layer, core computing layer, and output and reduction layer [7][8]. - The core computing layer utilizes multiple MAC Arrays to support tensor contraction operations, achieving pipeline-level parallelism for floating-point operations [8]. Future Plans - The company aims to continue developing hardware implementations for various quantum computing core modules, including quantum variational algorithms and quantum machine learning models, to establish a comprehensive quantum algorithm acceleration ecosystem [12]. Financial Position - MicroCloud Hologram Inc. has cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD in the development of blockchain, quantum computing, and other frontier technologies [13].