MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models
MicroCloud Hologram Inc. - Ordinary Shares (HOLO)
Company Research
Source: PR Newswire
SHENZHEN, China, Jan. 16, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network algorithm into parallel computing circuits that can run on field programmable gate arrays (FPGA), achieving efficient quantum spin model simulation on classical hardware. This achievement provides a brand-new engineered path for quantum physics research, quantum algorithm verification, and digital twin simulation of future quantum devices.In the research of quantum many-body systems, the tensor network (TN) algorithm is an extremely efficient numerical tool. It overcomes the problem of exponential state space expansion to a certain extent by decomposing high-dimensional quantum states into a network structure of multiple low-dimensional tensors. Typical tensor network models include matrix product states (MPS), projected entangled pair states (PE
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