Core Viewpoint - MicroCloud Hologram Inc. has launched an FPGA-based hardware abstraction technology platform for quantum computing systems, which aims to enhance the efficiency and scalability of quantum computing applications [1][8]. Group 1: Technology Development - The R&D team developed a resource-efficient quantum circuit hardware abstraction architecture that focuses on state storage, phase-shift control, and probability measurement, transforming these characteristics into hardware modules for FPGA implementation [2][4]. - The state representation of a single qubit was converted from a mathematical description into a vectorized structure suitable for FPGA, utilizing a fixed-point, normalized vector storage scheme to minimize resource consumption [3][4]. - Quantum gate operations were implemented by decomposing common gates into logic operations executable by FPGA, thus avoiding high computational overhead and improving energy efficiency [4][6]. Group 2: Engineering Challenges and Solutions - Phase-shift gates, crucial for quantum computing, were addressed through a lookup-table (LUT)-based phase rotation accumulation method, allowing for efficient phase-shift operations on FPGA [5][6]. - The design emphasized flexibility, enabling dynamic trade-offs between resource consumption and simulation accuracy, such as adjusting fixed-point quantization precision and expanding phase storage tables based on task requirements [7][8]. Group 3: Industry Impact - The new FPGA-based quantum computing system technology enables key functions like quantum state storage and phase regulation in a low-power, stable manner, potentially transforming the quantum technology ecosystem [8][9]. - This advancement is expected to facilitate the integration of quantum computing with traditional electronic engineering and accelerate the industrialization of quantum information technology [9].
MicroCloud Hologram Inc. Develops FPGA-Based Hardware Abstraction Technology for Quantum Computing Systems