<p>/PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO)（&#34;HOLO&#34;或&#34;公司&#34;）是一家技术服务提供商，推出了一种全新的基于多 FPGA 和高带宽内存的可扩展量子傅里叶变换模拟器技术。这一突破性成就通过引入多 FPGA 的并行分布式架构以及高带宽内存，为未来更大规模的量子算法模拟奠定了工程基础。</p>
<p>此次推出的多 FPGA QFT 模拟平台正是基于这一理念构建的。其核心创新之一是将量子态的大规模复杂幅度存储在高带宽内存中，如 HBM（高带宽内存）或等效架构，使得模拟器能够以远高于 DDR 内存的速度进行读取和更新。QFT 模拟过程本质上涉及大量的分布式哈达玛变换、受控相位移门和基于位反转的输出结构，所有这些都在幅度向量上执行广泛的数据跳跃访问。传统内存无法承受这种非连续、大宽度的密集内存访问需求，而高带宽内存恰好填补了这一空白。其内部的多通道并行架构使得在同一周期内访问多个缓存块成为可能，从而充分利用在 FPGA 逻辑层面构建的 QFT 操作数据流。</p>
<p>模拟器的核心处理单元专门设计以适应 QFT 的并行结构。FPGA 逻辑包括可流水线的复杂乘法阵列、并行索引生成器、分布式相位移计算模块和位反转置换数据路径。当传统 CPU 执行 QFT 时，通常需要将复杂数据模式转换为连续访问模式，而 FPGA 的可编程性允许直接构建与 QFT 变换结构一致的硬件电路，使得量子态更新能够以线性流水线方式跨越多个处理阶段，从而最大化硬件资源的利用。</p>
<p>多 FPGA 的可扩展性是该技术的另一个关键突破。在量子电路模拟中，量子态的大小随着量子比特数量的增加而呈指数增长。当单个 FPGA 的存储空间无法容纳整个幅度数组时，计算任务必须分割到多个 FPGA 芯片上，以形成跨芯片的分布式并行模拟器。然而，问题在于 QFT 具有跨步数据依赖性，不同块之间频繁的数据交互需求。这项技术采用了一种高效的领域分解策略，根据 QFT 中的门依赖性智能地对幅度空间进行分组，以最小化跨 FPGA 的通信量。同时，HOLO 基于高速串行接口构建了点对点数据传输通道，使多个 FPGA 能够以时钟同步的方式协同工作。</p>
<p>从工程角度来看，将多 FPGA 与高带宽内存结合的难点不仅在于硬件本身，还包括数据流调度、门操作映射和抑制分布式通信开销等多个复杂的系统级挑战。为了确保模拟结果与数学模型严格一致，系统内部引入了基于定点或高精度浮点格式的复杂数计算模块，确保在硬件映射过程中受控相位移操作不会产生不可接受的数值误差。对于跨 FPGA 的幅度交换操作，HOLO 设计了一种严格的同步协议，使所有计算阶段保持高度一致。</p>
<p>HOLO 推出这项技术不仅是工程上的突破，也象征着 FPGA 在加速量子软件栈中的重要作用逐渐得到确立。随着量子算法的不断演进，未来将有越来越多的大规模量子电路需要验证和调试，而 FPGA 将成为连接经典模拟能力与未来真实量子设备的重要桥梁。HOLO 的技术路线图已确定进一步发展的方向，包括支持更多 FPGA 节点的分布式量子电路模拟集群，支持任意变分量子电路的快速硬件加速器，以及支持大规模量子化学和量子机器学习算法的定制优化模块。</p>
<p>从长远来看，HOLO 的多 FPGA QFT 模拟器不仅将服务于量子算法研究人员，还将在量子编译器优化、量子芯片架构验证、量子教育平台建设和工业应用的早期验证中发挥越来越重要的价值。大型企业和研究机构正在寻求能够以低成本和高确定性评估量子算法复杂性的工具，而 HOLO 的多 FPGA 模拟器恰好填补了量子计算生态系统中这一仍然稀缺的技术空白。随着量子计算生态系统的不断扩展，基于这项技术构建的高性能模拟能力将继续在量子算法创新、工业验证和跨领域融合中发挥影响，成为推动未来量子计算发展的重要力量。</p>
<p>关于 MicroCloud Hologram Inc.</p>
<p>MicroCloud Hologram Inc.（纳斯达克股票代码：HOLO）致力于全息技术的研究、开发和应用。其全息技术服务包括基于全息技术的全息光检测与测距（LiDAR）解决方案、全息 LiDAR 点云算法架构设计、技术全息成像解决方案、全息 LiDAR 传感器芯片设计以及全息车辆智能视觉技术，为提供全息高级驾驶辅助系统（ADAS）的客户提供服务。MicroCloud Hologram Inc. 向全球客户提供全息技术服务。MicroCloud Hologram Inc. 还提供全息数字双胞胎技术服务，并拥有专有的全息数字双胞胎技术资源库。其全息数字双胞胎技术资源库结合了全息数字双胞胎软件、数字内容、基于空间数据驱动的数据科学、全息数字云算法和全息 3D 捕捉技术，以 3D 全息形式捕捉形状和物体。MicroCloud Hologram Inc. 专注于量子计算和量子全息等领域的发展，现金储备超过 30 亿元人民币，并计划从现金储备中投资超过 4 亿美元，参与区块链开发、量子计算技术开发、量子全息技术开发以及人工智能 AR 等前沿技术领域的衍生品和技术开发。MicroCloud Hologram Inc. 的目标是成为全球领先的量子全息和量子计算技术公司。</p>
<p>安全港声明</p>
<p>本新闻稿包含根据 1995 年《私人证券诉讼改革法案》定义的前瞻性陈述。前瞻性陈述包括有关计划、目标、目标、战略、未来事件或表现以及基本假设的陈述，以及其他非历史事实的陈述。当公司使用诸如 “可能”、“将”、“打算”、“应该”、“相信”、“期望”、“预期”、“项目”、“估计” 或类似表达时，这些表达并不单纯与历史事项相关，而是在进行前瞻性陈述。前瞻性陈述并不保证未来的表现，并涉及可能导致实际结果与公司在前瞻性陈述中讨论的预期结果存在重大差异的风险和不确定性。这些陈述受到不确定性和风险的影响，包括但不限于以下内容：公司的目标和战略；公司的未来业务发展；产品和服务的需求与接受度；技术变化；经济状况；声誉和品牌；竞争和定价的影响；政府法规；一般经济波动；财务状况和经营结果；全息行业的预期增长以及公司计划服务的中国和国际市场的商业条件，以及与上述任何内容相关的假设和公司向证券交易委员会（“SEC”）提交的报告中包含的其他风险，包括公司最近提交的 10-K 表格年度报告和 6-K 表格当前报告及其后续提交的文件。因此，投资者被提醒不要对本新闻稿中的任何前瞻性陈述过于依赖。其他因素在公司向 SEC 提交的文件中进行了讨论，相关文件可在 www.sec.gov 上查阅。公司没有义务公开修订这些前瞻性陈述，以反映本声明日期之后发生的事件或情况。</p>
<p>来源：MicroCloud Hologram Inc.</p>

<p>MicroCloud Hologram Inc.（纳斯达克股票代码：HOLO）推出了一种可扩展的量子傅里叶变换模拟器，利用多 FPGA 和高带宽内存。这项创新技术允许更快的数据处理和高效的量子算法模拟。该模拟器的架构通过在多个 FPGA 之间分配任务，支持大规模量子状态模拟，最小化通信开销。HOLO 的进展使 FPGA 技术在量子计算领域中变得至关重要，帮助进行量子算法的验证和优化。多 FPGA QFT 模拟器预计将为研究人员和机构提供一种具有成本效益的工具，以评估量子算法</p>

<p>, /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (&#34;HOLO&#34; or the &#34;Company&#34;), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and high-bandwidth memory. This breakthrough achievement, by introducing a parallel distributed architecture with multiple FPGAs as well as high-bandwidth memory, lays an engineering foundation for future larger-scale quantum algorithm simulations.</p>
<div class="lb-trans"><p>/PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO)（&#34;HOLO&#34;或&#34;公司&#34;）是一家技术服务提供商，推出了一种全新的基于多 FPGA 和高带宽内存的可扩展量子傅里叶变换模拟器技术。这一突破性成就通过引入多 FPGA 的并行分布式架构以及高带宽内存，为未来更大规模的量子算法模拟奠定了工程基础。</p>
</div><p>The multi-FPGA QFT simulation platform launched this time is precisely built based on this idea. One of its core innovations is storing the large-scale complex amplitudes of quantum states in high-bandwidth memory, such as HBM (High Bandwidth Memory) or equivalent architectures, enabling the simulator to perform reads and updates at speeds far higher than DDR memory. The QFT simulation process essentially involves a large number of distributed Hadamard transformations, controlled phase-shift gates, and output structures based on bit reversal, all of which perform wide-range data jumping accesses on the amplitude vector. Traditional memory cannot withstand this non-continuous, large-width intensive memory access demand, while high-bandwidth memory precisely fills this gap. Its internal multi-channel parallel architecture makes it possible to access multiple cache blocks in the same cycle, allowing the QFT operation data flow constructed at the FPGA logic level to be fully utilized.</p>
<div class="lb-trans"><p>此次推出的多 FPGA QFT 模拟平台正是基于这一理念构建的。其核心创新之一是将量子态的大规模复杂幅度存储在高带宽内存中，如 HBM（高带宽内存）或等效架构，使得模拟器能够以远高于 DDR 内存的速度进行读取和更新。QFT 模拟过程本质上涉及大量的分布式哈达玛变换、受控相位移门和基于位反转的输出结构，所有这些都在幅度向量上执行广泛的数据跳跃访问。传统内存无法承受这种非连续、大宽度的密集内存访问需求，而高带宽内存恰好填补了这一空白。其内部的多通道并行架构使得在同一周期内访问多个缓存块成为可能，从而充分利用在 FPGA 逻辑层面构建的 QFT 操作数据流。</p>
</div><p>The simulator's core processing unit is specially designed to adapt to the parallel structure of QFT. The FPGA logic includes pipelinable complex multiplication arrays, parallel index generators, distributed phase-shift computation modules, and bit-reversal permutation data paths. When traditional CPUs execute QFT, they usually need to convert complex data patterns into continuous access patterns, whereas the programmability of FPGAs allows direct construction of hardware circuits consistent with the QFT transformation structure, enabling quantum state updates to cross multiple processing stages in a linear pipeline manner, thereby maximizing the utilization of hardware resources.</p>
<div class="lb-trans"><p>模拟器的核心处理单元专门设计以适应 QFT 的并行结构。FPGA 逻辑包括可流水线的复杂乘法阵列、并行索引生成器、分布式相位移计算模块和位反转置换数据路径。当传统 CPU 执行 QFT 时，通常需要将复杂数据模式转换为连续访问模式，而 FPGA 的可编程性允许直接构建与 QFT 变换结构一致的硬件电路，使得量子态更新能够以线性流水线方式跨越多个处理阶段，从而最大化硬件资源的利用。</p>
</div><p>Multi-FPGA scalability is another key breakthrough of this technology. In quantum circuit simulation, the size of the quantum state increases exponentially with the number of qubits. When the storage space of a single FPGA cannot accommodate the entire amplitude array, the computation task must be split across multiple FPGA chips to form a cross-chip distributed parallel simulator. However, the problem lies in the fact that QFT has striding data dependencies, with frequent data interaction demands between different blocks. This technology adopts an efficient domain decomposition strategy, intelligently grouping the amplitude space according to gate dependencies in QFT to minimize cross-FPGA communication volume. At the same time, HOLO has built point-to-point data transmission channels based on high-speed serial interfaces, enabling multiple FPGAs to collaborate in a clock-synchronized manner.</p>
<div class="lb-trans"><p>多 FPGA 的可扩展性是该技术的另一个关键突破。在量子电路模拟中，量子态的大小随着量子比特数量的增加而呈指数增长。当单个 FPGA 的存储空间无法容纳整个幅度数组时，计算任务必须分割到多个 FPGA 芯片上，以形成跨芯片的分布式并行模拟器。然而，问题在于 QFT 具有跨步数据依赖性，不同块之间频繁的数据交互需求。这项技术采用了一种高效的领域分解策略，根据 QFT 中的门依赖性智能地对幅度空间进行分组，以最小化跨 FPGA 的通信量。同时，HOLO 基于高速串行接口构建了点对点数据传输通道，使多个 FPGA 能够以时钟同步的方式协同工作。</p>
</div><p>From an engineering perspective, the difficulty in combining multi-FPGA with high-bandwidth memory lies not only in the hardware itself but also in multiple complex system-level challenges such as data flow scheduling, gate operation mapping, and suppression of distributed communication overhead. To ensure that the simulation results are strictly consistent with the mathematical model, the system internally introduces complex number computation modules based on fixed-point or high-precision floating-point formats, ensuring that controlled phase-shift operations do not produce unacceptable numerical errors during the hardware mapping process. For amplitude exchange operations across FPGAs, HOLO designed a strict synchronization protocol, enabling all computation stages to maintain high consistency.</p>
<div class="lb-trans"><p>从工程角度来看，将多 FPGA 与高带宽内存结合的难点不仅在于硬件本身，还包括数据流调度、门操作映射和抑制分布式通信开销等多个复杂的系统级挑战。为了确保模拟结果与数学模型严格一致，系统内部引入了基于定点或高精度浮点格式的复杂数计算模块，确保在硬件映射过程中受控相位移操作不会产生不可接受的数值误差。对于跨 FPGA 的幅度交换操作，HOLO 设计了一种严格的同步协议，使所有计算阶段保持高度一致。</p>
</div><p>The launch of this technology by HOLO is not only an engineering breakthrough but also symbolizes that the important role of FPGA in accelerating the quantum software stack is gradually being established. As quantum algorithms continue to evolve, there will be an increasing number of large-scale quantum circuits that need verification and debugging in the future, and FPGA will become an important bridge connecting classical simulation capabilities with future real quantum devices. HOLO's technology roadmap has determined directions for further development, including supporting distributed quantum circuit simulation clusters with more FPGA nodes, supporting rapid hardware accelerators for arbitrary variational quantum circuits, and supporting customized optimization modules for large-scale quantum chemistry and quantum machine learning algorithms.</p>
<div class="lb-trans"><p>HOLO 推出这项技术不仅是工程上的突破，也象征着 FPGA 在加速量子软件栈中的重要作用逐渐得到确立。随着量子算法的不断演进，未来将有越来越多的大规模量子电路需要验证和调试，而 FPGA 将成为连接经典模拟能力与未来真实量子设备的重要桥梁。HOLO 的技术路线图已确定进一步发展的方向，包括支持更多 FPGA 节点的分布式量子电路模拟集群，支持任意变分量子电路的快速硬件加速器，以及支持大规模量子化学和量子机器学习算法的定制优化模块。</p>
</div><p>In the long term, HOLO's multi-FPGA QFT simulator will not only serve quantum algorithm researchers but will also play an increasingly important value in quantum compiler optimization, quantum chip architecture verification, quantum education platform construction, and early validation of industrial applications. Large enterprises and research institutions are seeking tools that can evaluate the complexity of quantum algorithms with low cost and high determinism, and HOLO's multi-FPGA simulator precisely fills this still scarce technical gap in the quantum computing ecosystem. As the quantum computing ecosystem continues to expand, it is believed that the high-performance simulation capabilities built upon this technology will continue to exert influence in quantum algorithm innovation, industrial validation, and cross-domain fusion, becoming an important force in driving the wave of future quantum computing development.</p>
<div class="lb-trans"><p>从长远来看，HOLO 的多 FPGA QFT 模拟器不仅将服务于量子算法研究人员，还将在量子编译器优化、量子芯片架构验证、量子教育平台建设和工业应用的早期验证中发挥越来越重要的价值。大型企业和研究机构正在寻求能够以低成本和高确定性评估量子算法复杂性的工具，而 HOLO 的多 FPGA 模拟器恰好填补了量子计算生态系统中这一仍然稀缺的技术空白。随着量子计算生态系统的不断扩展，基于这项技术构建的高性能模拟能力将继续在量子算法创新、工业验证和跨领域融合中发挥影响，成为推动未来量子计算发展的重要力量。</p>
</div><p>About MicroCloud Hologram Inc.</p>
<div class="lb-trans"><p>关于 MicroCloud Hologram Inc.</p>
</div><p>MicroCloud Hologram Inc. (NASDAQ: HOLO) is committed to the research and development and application of holographic technology. Its holographic technology services include holographic light detection and ranging (LiDAR) solutions based on holographic technology, holographic LiDAR point cloud algorithm architecture design, technical holographic imaging solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology, providing services to customers offering holographic advanced driving assistance systems (ADAS). MicroCloud Hologram Inc. provides holographic technology services to global customers. MicroCloud Hologram Inc. also provides holographic digital twin technology services and owns proprietary holographic digital twin technology resource libraries. Its holographic digital twin technology resource library utilizes a combination of holographic digital twin software, digital content, space data-driven data science, holographic digital cloud algorithms, and holographic 3D capture technology to capture shapes and objects in 3D holographic form. MicroCloud Hologram Inc. focuses on developments such as quantum computing and quantum holography, with cash reserves exceeding 3 billion RMB, and plans to invest more than 400 million in USD from the cash reserves to engage in blockchain development, quantum computing technology development, quantum holography technology development, and derivatives and technology development in frontier technology fields such as artificial intelligence AR. MicroCloud Hologram Inc.'s goal is to become a global leading quantum holography and quantum computing technology company.</p>
<div class="lb-trans"><p>MicroCloud Hologram Inc.（纳斯达克股票代码：HOLO）致力于全息技术的研究、开发和应用。其全息技术服务包括基于全息技术的全息光检测与测距（LiDAR）解决方案、全息 LiDAR 点云算法架构设计、技术全息成像解决方案、全息 LiDAR 传感器芯片设计以及全息车辆智能视觉技术，为提供全息高级驾驶辅助系统（ADAS）的客户提供服务。MicroCloud Hologram Inc. 向全球客户提供全息技术服务。MicroCloud Hologram Inc. 还提供全息数字双胞胎技术服务，并拥有专有的全息数字双胞胎技术资源库。其全息数字双胞胎技术资源库结合了全息数字双胞胎软件、数字内容、基于空间数据驱动的数据科学、全息数字云算法和全息 3D 捕捉技术，以 3D 全息形式捕捉形状和物体。MicroCloud Hologram Inc. 专注于量子计算和量子全息等领域的发展，现金储备超过 30 亿元人民币，并计划从现金储备中投资超过 4 亿美元，参与区块链开发、量子计算技术开发、量子全息技术开发以及人工智能 AR 等前沿技术领域的衍生品和技术开发。MicroCloud Hologram Inc. 的目标是成为全球领先的量子全息和量子计算技术公司。</p>
</div><p>Safe Harbor Statement</p>
<div class="lb-trans"><p>安全港声明</p>
</div><p>This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as &#34;may,&#34; &#34;will,&#34; &#34;intend,&#34; &#34;should,&#34; &#34;believe,&#34; &#34;expect,&#34; &#34;anticipate,&#34; &#34;project,&#34; &#34;estimate,&#34; or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's goals and strategies; the Company's future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission (&#34;SEC&#34;), including the Company's most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.</p>
<div class="lb-trans"><p>本新闻稿包含根据 1995 年《私人证券诉讼改革法案》定义的前瞻性陈述。前瞻性陈述包括有关计划、目标、目标、战略、未来事件或表现以及基本假设的陈述，以及其他非历史事实的陈述。当公司使用诸如 “可能”、“将”、“打算”、“应该”、“相信”、“期望”、“预期”、“项目”、“估计” 或类似表达时，这些表达并不单纯与历史事项相关，而是在进行前瞻性陈述。前瞻性陈述并不保证未来的表现，并涉及可能导致实际结果与公司在前瞻性陈述中讨论的预期结果存在重大差异的风险和不确定性。这些陈述受到不确定性和风险的影响，包括但不限于以下内容：公司的目标和战略；公司的未来业务发展；产品和服务的需求与接受度；技术变化；经济状况；声誉和品牌；竞争和定价的影响；政府法规；一般经济波动；财务状况和经营结果；全息行业的预期增长以及公司计划服务的中国和国际市场的商业条件，以及与上述任何内容相关的假设和公司向证券交易委员会（“SEC”）提交的报告中包含的其他风险，包括公司最近提交的 10-K 表格年度报告和 6-K 表格当前报告及其后续提交的文件。因此，投资者被提醒不要对本新闻稿中的任何前瞻性陈述过于依赖。其他因素在公司向 SEC 提交的文件中进行了讨论，相关文件可在 www.sec.gov 上查阅。公司没有义务公开修订这些前瞻性陈述，以反映本声明日期之后发生的事件或情况。</p>
</div><p>SOURCE MicroCloud Hologram Inc.</p>
<div class="lb-trans"><p>来源：MicroCloud Hologram Inc.</p>
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MicroCloud Hologram Inc. 构建了行业首个多 FPGA 量子傅里叶变换仿真解决方案 | HOLO 股票新闻