Tillkännagivande • Jun 03

WiMi Hologram Cloud Inc. Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes

WiMi Hologram Cloud Inc. proposed a new high-performance fault-tolerant quantum computing technology based on multi-hypercube codes. This technology constructs a cascaded high-rate small-size quantum error-detection code system, which, while ensuring high fault-tolerant capability, significantly improves the quantum encoding rate and achieves high parallelism in logical gate operations. Compared with traditional quantum error correction frameworks, this new architecture can not only reduce physical resource consumption but also enhance logical computation throughput, providing a new technical path for building truly scalable large-scale quantum computers in the future. The entire multi-hypercube code system is not simply a stacking of multiple quantum codes, but establishes logical associations through a special geometric mapping mechanism. WiMi utilizes the topological connection relationships between hypercube dimensions, enabling efficient information interaction between different logical quantum regions while maintaining low coupling complexity. The greatest advantage of this structure is that its logical gate operations can be executed in parallel simultaneously across multiple hypercube modules, without generating severe error correction conflicts as in traditional schemes. From a structural perspective, the multi-hypercube code forms an organization similar to a quantum computing array. Each hypercube module can independently complete local error detection and can also participate in higher-level logical operations. Through this hierarchical structure, the system can decompose complex fault-tolerant tasks into a large number of localized small-scale tasks, thereby significantly reducing the overall error correction complexity. WiMi stated that although traditional high-rate quantum codes can theoretically improve encoding efficiency, they often face the problem that logical gate operations are difficult to parallelize. Because in many high-density quantum codes, a single logical gate operation may affect a large number of qubit regions, resulting in strong coupling and conflicts between operations. The multi-hypercube code, however, restricts logical operations to specific hypercube regions through a geometric partitioning mechanism, allowing multiple logical gates to be executed simultaneously. This parallelization capability is crucial for future quantum computing. As the scale of quantum algorithms continues to expand, quantum computers must execute massive numbers of logical gate operations simultaneously. If logical gates cannot be parallelized, the overall computing speed will be severely limited. Especially in scenarios such as quantum machine learning, quantum chemistry simulation, and quantum optimization, large-scale parallel quantum operations are an important foundation for achieving practicality. To further improve system performance, WiMi has also developed dedicated quantum decoders and quantum encoders. Traditional quantum decoding usually needs to handle extremely complex error correlation relationships, but because the multi-hypercube code has a clear geometric structure, it can utilize topological path analysis methods to quickly locate error regions. The system can complete error inference and recovery operations in an extremely short time by analyzing error propagation patterns between hypercubes. When designing the decoder, WiMi introduced a hierarchical local decoding mechanism. The system first performs error detection and preliminary repair within local hypercubes, and then handles cross-module error propagation through higher-level structures. This method avoids the exponential complexity growth problem brought by traditional global decoding. In terms of encoder design, WiMi focused on optimizing the loading efficiency of logical quantum states. Since the multi-hypercube code has a natural modular structure, logical quantum states can be written into the system layer by layer in a pipelined manner, without the need to complete complex global initialization at once. This not only reduces the depth of the initialization circuit but also decreases the risk of error propagation during the initialization phase. This technology can still achieve a relatively high error threshold under circuit-level noise models. The so-called error threshold refers to the ability of a quantum system to maintain stable computation through error correction under a certain physical error rate. The higher the error threshold, the stronger the system's tolerance to hardware noise, and the lower the difficulty of actual hardware implementation. Through simulations, WiMi found that under circuit-level random noise environments, the multi-hypercube code can maintain a stable trend of decreasing logical error rates. This means that as the encoding levels increase, the system can continuously improve logical reliability without performance collapse due to increased complexity. Moreover, due to its adoption of a local modular structure, the multi-hypercube code offers higher flexibility in physical implementation. This structure can adapt to two-dimensional, three-dimensional, or even higher-dimensional quantum chip layouts, and can dynamically adjust the hypercube mapping method according to hardware connectivity constraints. This means that in the future, this technology is expected to become a universal fault-tolerant quantum computing architecture. In superconducting quantum chips, the multi-hypercube code can utilize nearest-neighbor coupling to achieve local stabilizer measurements, reducing the demand for long-distance quantum communication. In ion-trap platforms, the ion chain reconfiguration capability can be used to dynamically establish hypercube connection structures. In photonic quantum platforms, the hypercube structure can also be combined with photonic cluster state computing modes to achieve high-speed parallel logical operations. In addition to hardware adaptation advantages, the multi-hypercube code may also have a significant impact on future quantum operating systems. Traditional quantum computing architectures often treat quantum error correction as an underlying function, whereas the multi-hypercube code, due to its natural hierarchical structure, is more suitable for deep integration with quantum task scheduling systems. WiMi proposed that future quantum operating systems can dynamically allocate hypercube resource regions according to algorithm load conditions, mapping different logical tasks to different modules for execution. This can not only improve quantum resource utilization but also reduce interference between logical tasks. In large-scale quantum cloud computing scenarios, the multi-hypercube code may even form a quantum virtualization mechanism. Different user tasks can run in different hypercube logical regions, while the system ensures overall stability through dynamic error correction and resource isolation mechanisms.

VD-lön i procent	n/a
Anställning som VD	7.8yrs
Ägande av VD	0.02%
Ledningens genomsnittliga anställningstid	5.6yrs
Styrelsens genomsnittliga mandatperiod	5.7yrs

Namn	Position	Anställning	Kompensation	Ägarskap
Jie Zhao	Founder & Chairman	7.6yrs	inga uppgifter	7.23% $ 2.1m
Shuo Shi	Chief Executive & Operations Officer and Director	7.8yrs	inga uppgifter	0.015% $ 4.4k
Guanghui Zheng	Chief Financial Officer	5.5yrs	inga uppgifter	0.0027% $ 780.1
Yanghua Yang	General Manager of Investment Department	5.5yrs	inga uppgifter	inga uppgifter
Chengwei Yi	Chief Executive Officer of VIYI Technology Inc	5.7yrs	inga uppgifter	inga uppgifter

Namn	Position	Anställning	Kompensation	Ägarskap
Jie Zhao	Founder & Chairman	7.6yrs	inga uppgifter	7.23% $ 2.1m
Shuo Shi	Chief Executive & Operations Officer and Director	5.7yrs	inga uppgifter	0.015% $ 4.4k
Hongtao Zhao	Independent Director	7.1yrs	inga uppgifter	inga uppgifter
Harriet Ywan	Independent Director	3.9yrs	inga uppgifter	inga uppgifter
Ethan Yang	Independent Director	less than a year	inga uppgifter	inga uppgifter

Uppgifter	Senast uppdaterad (UTC-tid)
Analys av företag	2026/06/10 15:40
Aktiekurs vid dagens slut	2026/06/10 00:00
Intäkter	2025/12/31
Årlig intjäning	2025/12/31

Paket	Uppgifter	Tidsram	Exempel US-källa
Företagets finansiella ställning	10 år	Resultaträkning Kassaflödesanalys Balansräkning	SEC Form 10-K SEC Form 10-Q
Analytikernas konsensusuppskattningar	+3 år	Prognos för finansiella poster Analytikernas prismål	Rapporter från analytiker Blue Matrix
Marknadspriser	30 år	Aktiekurser Utdelningar, splittar och åtgärder	ICE Marknadsdata SEC Form S-1
Ägarskap	10 år	Största aktieägare Insiderhandel	SEC Formulär 4 SEC Formulär 13D
Förvaltning	10 år	Ledningsgrupp Styrelse och verkställande direktörer	SEC Form 10-K SEC Form DEF 14A
Viktiga utvecklingstendenser	10 år	Företagsmeddelanden	SEC Formulär 8-K

WiMi Hologram Cloud Förvaltning

Förvaltning kriterier kontrolleras 2/4

Viktig information

Senaste uppdateringar av ledningen

Recent updates

WiMi Hologram Cloud Explores Multi-Dimensional Pooling Optimization Technology Under Variational Quantum Algorithm Framework

WiMi Hologram Cloud Inc. Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes

WiMi Hologram Cloud Inc. Achieves Breakthrough In Deep Convolutional Neural Network Technology Based On Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. Deploys Quantum Computing Optimization Based on Multi-Objective Deep Reinforcement Learning

WiMi Hologram Cloud Inc. Releases Next-Generation Quantum Neural Network Feature Mapping Technology

WiMi Hologram Cloud Inc. Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

Wimi Hologram Cloud Inc. Releases Hybrid Quantum-Classical Neural Network Technology for Efficient MNIST Binary Image Classification

WiMi Hologram Cloud Inc.'s (NASDAQ:WIMI) Popularity With Investors Under Threat As Stock Sinks 25%

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

Wimi Hologram Cloud Inc. Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Hologram Cloud Inc. Releases Breakthrough Successful Hybrid Quantum-Classical Deep Learning Technology Based on Mechanism-Efficiently Embedding Quantum Modules,QB-Net

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

WiMi Hologram Cloud Inc.'s (NASDAQ:WIMI) Popularity With Investors Under Threat As Stock Sinks 29%

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

WiMi Hologram Cloud Inc. Leverages Quantum Supremacy to Break Through Data Limitations in Machine Learning

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

WiMi Hologram Cloud Inc. Explores Quantum Image Encryption Algorithm Based on Four-Dimensional Chaos

Wimi Hologram Cloud Inc. Launches Quantum-Assisted Unsupervised Data Clustering Technology Based on Neural Networks

WiMi Hologram Cloud Inc. Lays Out for the Research on Distributed Quantum Computing Based on Cross-Optical Network Links

Wimi Hologram Cloud Inc. Unveils New Efficient Quantum Random Access Memory Technology

WiMi Hologram Cloud Inc.'s (NASDAQ:WIMI) Business Is Trailing The Industry But Its Shares Aren't

WiMi Hologram Cloud Inc. Develops Scalable Quantum Neural Network (SQNN) Technology Based on Multi-Quantum- Device Collaborative Computing

WiMi Hologram Cloud Inc. Explores Collaborative Quantum Generative Networks Using Quantum Generative Machine Learning

Wimi Hologram Cloud Inc. Announces Laying Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

WiMi Hologram Cloud Inc. Explores Quantum Algorithms for Large-Scale Machine Learning Models

WiMi Hologram Cloud Inc. Develops Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm

What WiMi Hologram Cloud Inc.'s (NASDAQ:WIMI) P/S Is Not Telling You

VD OCH KONCERNCHEF

Ledningsgrupp

Styrelseledamöter

Företagsanalys och finansiella data Status

Datakällor

Analysmodell och snöflinga

Industri- och sektormått

Källor för analytiker

Analytiker	Institution
Yanfang Jiang	Benchmark Company
Jack Vander Aarde	Maxim Group