MicroCloud Hologram Proposes Quantum AI Simulator, 500x Speed Increase
MicroCloud Hologram proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs hardware-level optimization on the specific structure of quantum kernels through a heterogeneous computing architecture, making quantum kernel estimation 500 times faster than traditional CPU simulation implementations under the same computational scale, providing unprecedented acceleration capabilities for the application simulation of quantum artificial intelligence. This technology of HOLO focuses on application-specific quantum kernels designed for image classification tasks, and for the first time implements its core computational process on a Field Programmable Gate Array. Through deep collaborative design of quantum kernel structures, feature encoding methods, and FPGA dataflow architectures, HOLO has constructed a hardware acceleration platform oriented towards quantum machine learning algorithms, enabling the simulation of quantum kernel models with high-dimensional feature encoding capabilities under classical computing resources. This achievement not only breaks through the physical qubit limitations faced by current noisy intermediate-scale quantum devices but also provides a new direction for future hardware-based quantum algorithm prototype verification. In terms of the specific construction of the quantum kernel, HOLO designed an empirical parameterized encoding strategy for image classification tasks. Image samples are first compressed into fixed-dimensional feature vectors, and then transformed into rotation angle parameters via nonlinear mapping to input into the quantum circuit. The quantum kernel circuit structure includes multiple layers of controlled rotation gates and entanglement gates, used to construct global feature correlations. Through experimental comparisons, it is obtained that appropriately increasing the quantum kernel depth can significantly improve classification performance, but it also leads to exponential growth in simulation complexity. Therefore, HOLO adopted a collaborative optimization strategy, namely restricting the entanglement range of the circuit at the algorithm level, while at the hardware level performing logic reuse and lookup table optimization on common gate operations to maximize hardware utilization. On this basis, the FPGA's logic resource utilization rate is maintained below 82%, and the on-chip storage bandwidth can support quantum state update operations for 256 parallel channels. To further verify the performance of the simulator, HOLO conducted tests on the system across multiple sets of image classification tasks, including the classic MNIST and Fashion-MNIST datasets. The experimental results indicate that the FPGA-accelerated quantum kernel estimation, under the same sample scale, has a runtime of only about 1/500 of the CPU implementation, and achieves classification accuracy comparable to the Gaussian kernel with optimized hyperparameters. This means that, through reasonably designed quantum kernel structures and efficient hardware acceleration mechanisms, HOLO can reproduce the core performance characteristics of quantum algorithms on classical hardware without relying on actual quantum hardware. More importantly, this simulation platform provides a practical and feasible channel for algorithm verification, model comparison, and scalability testing of quantum machine learning algorithms.
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- Quantum Simulator Breakthrough: MicroCloud Hologram Inc. has launched a surface code quantum simulator based on FPGA, significantly enhancing quantum error correction simulation capabilities, which is expected to accelerate the practical application of quantum computing.
- Resource-Saving Design: The new simulator optimizes the design of rotated distance surface codes, reducing the number of required physical qubits and improving error correction efficiency, addressing the challenges posed by limited resources in current quantum hardware.
- FPGA Technology Advantage: This simulator leverages FPGA's parallel processing capabilities, achieving over a 5-fold speed increase compared to GPU-based simulators while reducing power consumption by 30%, providing real-time feedback for debugging quantum algorithms.
- Future Investment Plans: MicroCloud plans to invest over $400 million from its cash reserves exceeding 3 billion RMB into quantum computing and blockchain technology, demonstrating its strategic positioning in frontier technology fields.
- Quantum Simulation Breakthrough: MicroCloud Hologram Inc. has launched a surface code quantum simulator based on FPGA technology, marking a new milestone in quantum error correction simulation by leveraging FPGA's parallel processing capabilities to achieve real-time, high-fidelity simulations, significantly enhancing the feasibility of quantum computing.
- Resource-Efficient Design: The new simulator optimizes the layout of rotated distance surface codes, reducing the number of required physical qubits while maintaining equivalent error correction capabilities, making it particularly suitable for quantum systems with limited resources and lowering manufacturing costs for quantum hardware.
- Significant Performance Improvement: Compared to GPU-based simulators, this simulator achieves over a 5-fold speed increase when simulating distance-5 rotated codes while reducing power consumption by 30%, showcasing FPGA's advantages in quantum simulation and supporting real-time feedback loops for debugging quantum algorithms.
- Future Development Potential: MicroCloud plans to invest over $400 million in quantum computing and quantum holography, aiming to accelerate the quantum revolution and further solidify its leadership position in the global quantum technology market.
- Quantum Consensus Innovation: MicroCloud Hologram's proposed quantum intelligent interconnected fault-tolerant consensus algorithm integrates quantum computing technology to significantly enhance dynamic access and secure exit capabilities of financial internet nodes, thereby improving system flexibility and scalability, which is expected to provide crucial support for the fusion of financial services and edge computing.
- Dynamic Node Management System: The algorithm is equipped with a quantum-enhanced edge node management system that utilizes geographic location and performance-based quantum node selection mechanisms to improve data processing efficiency and reduce data transmission distances, ensuring the secure transmission and storage of financial data.
- Advantages of Quantum Fault Tolerance: By introducing a quantum Byzantine fault-tolerant mechanism, the algorithm achieves significant improvements in node consensus efficiency, effectively resisting faults or malicious attacks from nodes, ensuring the consistency of network consensus and the integrity of financial data, thereby enhancing system security.
- Future Development Potential: As 5G and IoT technologies continue to evolve, this algorithm, as the core enabling technology for the fusion of edge financial internet, is expected to play a key role in the digital transformation process, driving the large-scale implementation and value release of edge financial technology across various industry scenarios.
- Quantum Consensus Innovation: MicroCloud Hologram's proposed quantum intelligent interconnected fault-tolerant consensus algorithm significantly enhances dynamic access and secure exit capabilities for financial internet nodes by deeply integrating quantum computing technology, thereby improving system flexibility and scalability while establishing a robust security framework.
- Dynamic Node Management System: The algorithm is complemented by a quantum-enhanced edge node management system that utilizes geographic location selection and performance evaluation mechanisms, allowing edge nodes closer to data sources to more easily become quantum primary nodes, thus improving processing efficiency and optimizing resource allocation.
- Advantages of Quantum Fault Tolerance: By employing quantum parallel verification technology, the algorithm effectively resists node faults or malicious attacks during the consensus process, ensuring the consistency of network consensus and the integrity of financial data, showcasing broad application prospects in various fields.
- Future Development Potential: As 5G and IoT technologies continue to evolve, this algorithm is expected to play a key role in the digital transformation process as a core enabling technology for the fusion of edge computing and financial internet, driving the large-scale implementation and value release of edge financial technology.
- Quantum Transmission Innovation: MicroCloud Hologram's new transmission scheme based on Brownian state quantum channels significantly enhances the efficiency of multi-particle entangled state transmission, providing a new pathway for the practical application of quantum communication technology, which is expected to drive industry growth.
- Application of Quantum Fourier Transform: The scheme employs quantum Fourier transform to construct a measurement framework that ensures accurate quantum state measurement, enhances system adaptability, simplifies operational processes, and improves implementation capabilities across different quantum hardware platforms.
- Breakthrough in Technical Architecture Design: By establishing stable quantum links, MicroCloud Hologram achieves quantum correlation between the transmission state and channel state when transmitting three-particle GHZ states, showcasing its core application potential in quantum network architectures.
- Broad Future Development Prospects: This transmission protocol demonstrates extensive application potential in specific scenarios such as quantum secure communication and distributed quantum measurement, and with advancements in quantum hardware technology, it is expected to play a crucial role in future quantum information systems.

- Technological Innovation: MicroCloud Hologram's proposed hardware acceleration technology converts quantum tensor network algorithms into parallel computing circuits that run on FPGAs, achieving efficient quantum spin model simulations and marking a new path for quantum physics research.
- Performance Breakthrough: This technology enables complex tensor network computational tasks to operate 1.7 times faster on FPGAs than on CPUs, with energy efficiency improved by over 2 times, significantly enhancing the efficiency of hardware implementations of quantum algorithms.
- Architectural Design: By constructing a Hierarchical Tensor Contraction Pipeline, MicroCloud Hologram achieves high-density parallel computing, optimizing memory access and control overhead, laying the groundwork for the hardware implementation of quantum computing core modules.
- Future Outlook: The company plans to advance the FPGA implementation of quantum variational algorithms, quantum linear system solvers, and other core modules, aiming to build a complete quantum algorithm acceleration ecosystem and promote the industrialization of quantum technology.






