WiMi Explores Collaborative Quantum Generative Networks Using Quantum Generative Machine Learning
WiMi Hologram Cloud (NASDAQ: WIMI) has announced its exploration of Synergic Quantum Generative Network (SQGEN), an innovative quantum machine learning solution. The system employs a parallel quantum learning framework where generator and discriminator components operate simultaneously in a quantum computing environment.
SQGEN's key features include the Nelder-Mead optimization algorithm for quantum circuit optimization, an improved cost function design, and quantum communication channels utilizing entanglement properties. The technology demonstrates superior performance compared to traditional QGAN, offering faster training speeds and improved data quality and diversity.
As a comprehensive holographic cloud solution provider, WiMi specializes in holographic AR technologies, including automotive HUD software, 3D holographic pulse LiDAR, and holographic semiconductor technologies.
WiMi Hologram Cloud (NASDAQ: WIMI) ha annunciato di aver avviato un progetto su Synergic Quantum Generative Network (SQGEN), una soluzione innovativa di machine learning quantistico. Il sistema utilizza un framework di apprendimento quantistico parallelo in cui le componenti generatore e discriminatore operano simultaneamente in un ambiente di calcolo quantistico.
Le caratteristiche chiave di SQGEN includono l'algoritmo di ottimizzazione Nelder-Mead per l’ottimizzazione dei circuiti quantistici, un design migliorato della funzione di costo e canali di comunicazione quantistica che sfruttano le proprietà dell’entanglement. La tecnologia mostra prestazioni superiori rispetto al tradizionale QGAN, offrendo tempi di addestramento più veloci e una maggiore qualità e diversità dei dati.
In quanto fornitore completo di soluzioni cloud olografiche, WiMi è specializzata in tecnologie AR olografiche, tra cui software HUD per l’auto, LiDAR olografico a impulsi 3D e tecnologie olografiche nei semiconduttori.
WiMi Hologram Cloud (NASDAQ: WIMI) ha anunciado su exploración de Synergic Quantum Generative Network (SQGEN), una innovadora solución de aprendizaje automático cuántico. El sistema utiliza un marco de aprendizaje cuántico paralelo donde el generador y el discriminador operan simultáneamente en un entorno de computación cuántica.
Las características clave de SQGEN incluyen el algoritmo de optimización de Nelder-Mead para la optimización de circuitos cuánticos, un diseño mejorado de la función de costo y canales de comunicación cuántica que aprovechan las propiedades del entrelazamiento. La tecnología demuestra un rendimiento superior frente a QGAN tradicional, ofreciendo entrenamientos más rápidos y una mayor calidad y diversidad de los datos.
Como proveedor integral de soluciones en la nube holográficas, WiMi se especializa en tecnologías AR holográficas, incluyendo software HUD automotriz, LiDAR holográfico de pulsos 3D y tecnologías de semiconductores holográficos.
WiMi Hologram Cloud (NASDAQ: WIMI)가 Synergic Quantum Generative Network(SQGEN)를 탐구하고 있다고 발표했습니다. 이는 혁신적인 양자 머신 러닝 솔루션으로, 생성기와 판별기가 양자 컴퓨팅 환경에서 동시에 작동하는 병렬 학습 프레임워크를 사용합니다.
SQGEN의 주요 특징으로는 양자 회로 최적화를 위한 Nelder-Mead 최적화 알고리즘, 향상된 비용 함수 설계, 얽힘(entanglement) 특성을 활용한 양자 통신 채널이 있습니다. 이 기술은 전통적 QGAN에 비해 우수한 성능을 보여주며 더 빠른 학습 속도와 더 높은 데이터 품질 및 다양성을 제공합니다.
홀로그램 클라우드 솔루션의 종합 공급업체인 WiMi는 자동차 HUD 소프트웨어, 3D 홀로그램 펄스 LiDAR, 홀로그램 반도체 기술 등을 포함한 홀로그램 AR 기술에 특화되어 있습니다.
WiMi Hologram Cloud (NASDAQ: WIMI) a annoncé son exploration du Synergic Quantum Generative Network (SQGEN), une solution innovante d’apprentissage automatique quantique. Le système utilise un cadre d’apprentissage quantique parallèle où le générateur et le discriminant fonctionnent simultanément dans un environnement informatique quantique.
Les caractéristiques clés de SQGEN incluent l’algorithme d’optimisation de Nelder-Mead pour l’optimisation des circuits quantiques, une conception améliorée de la fonction coût et des canaux de communication quantique utilisant les propriétés de l’intrication. La technologie démontre des performances supérieures à celles du QGAN traditionnel, offrant des vitesses d’entraînement plus rapides et une meilleure qualité et diversité des données.
En tant que fournisseur complet de solutions cloud holographiques, WiMi se spécialise dans les technologies AR holographiques, notamment les logiciels HUD pour véhicules, le LiDAR holographique à impulsions 3D et les technologies de semiconducteurs holographiques.
WiMi Hologram Cloud (NASDAQ: WIMI) hat die Erkundung des Synergic Quantum Generative Network (SQGEN) angekündigt, eine innovative Lösung für maschinelles Lernen mit Quanten. Das System verwendet ein paralleles Lern-Framework, bei dem Generator und Diskriminator gleichzeitig in einer Quantencomputing-Umgebung operieren.
Zu den Kernmerkmalen von SQGEN gehören der Nelder-Mead-Optimierungsalgorithmus zur Optimierung von Quantenschaltungen, eine verbesserte Gestaltung der Kostenfunktion und Quantenkommunikationskanäle, die die Eigenschaften von Verschränkung nutzen. Die Technologie zeigt eine überlegene Leistung gegenüber traditionellem QGAN und bietet schnellere Trainingszeiten sowie eine bessere Datenqualität und -vielfalt.
Als Anbieter ganzheitlicher holografischer Cloud-Lösungen spezialisiert sich WiMi auf holographische AR-Technologien, einschließlich Automobil-HUD-Software, 3D-holographischem Puls-LiDAR und holografischen Halbleitertechnologien.
WiMi Hologram Cloud (NASDAQ: WIMI) أعلنت عن استكشافها لـ Synergic Quantum Generative Network (SQGEN)، وهو حل مبتكر للتعلم الآلي الكمي. يعتمد النظام على إطار تعلم كمّي متوازي حيث يعمل كل من المولّد والمميّز بشكل متزامن في بيئة حوسبة كمومية.
تشمل الميزات الرئيسية لـ SQGEN خوارزمية Nelder-Mead لتحسين الدوائر الكمّية، وتصميم محسّن لدالة التكلفة، وقنوات اتصال كمومية تستخدم خصائص التداخل الكمي. تُظهر التقنية أداءً متفوقاً مقارنةً بـ QGAN التقليدي، مع سرعات تدريب أسرع وجودة ووفرة بيانات أفضل.
بصفتها مزودًا شاملاً لحلول السحابة الهولوغرافية، تتخصص WiMi في تقنيات الواقع المعزز الهولوغرافية، بما في ذلك برامج HUD للسيارات، LiDAR هولوغرافي بنبضات ثلاثية الأبعاد، وتكنولوجيات أشباه الموصلات الهولوغرافية.
WiMi Hologram Cloud (NASDAQ: WIMI) 宣布正在探索 Synergic Quantum Generative Network (SQGEN)，这是一种创新的量子机器学习解决方案。该系统采用并行量子学习框架，其中生成器和判别器在量子计算环境中同时运行。
SQGEN 的核心特征包括用于量子电路优化的 Nelder-Mead 优化算法、改进的代价函数设计以及利用纠缠特性的量子通信通道。该技术显示出相对于传统 QGAN 的 优越性能，提供更快的训练速度和更高的数据质量与多样性。
作为全方位的全息云解决方案提供商，WiMi 专注于全息增强现实（AR）技术，包括用于汽车的 HUD 软件、3D 全息脉冲 LiDAR，以及全息半导体技术。
- None.
- Technology is still in exploration phase without immediate commercial implementation
- Success depends on future development of quantum computing technology
- Requires significant quantum computing resources for operation
In order to optimize the quantum circuit, SQGEN employs the Nelder-Mead optimization algorithm, which does not require gradient information and is suitable for situations where calculating gradients directly is difficult in quantum computing. Additionally, SQGEN introduces innovation in the design of the cost function by relaxing the reversibility condition, which improves the lower bound of the cost function and reduces the number of cost function evaluations required per training cycle. This feature not only reduces the consumption of quantum resources but also enhances the stability of the algorithm. In SQGEN, the cost function is designed as a measure of the game between the generator and the discriminator. When both the discriminator and the generator perform the task in the optimal way, the cost function will reach its maximum value. This ensures that SQGEN can continuously approach the optimal solution during the training process. In SQGEN, the interaction between the generator and the discriminator is achieved through quantum communication channels. These channels, utilizing quantum entanglement and other properties, enable fast information transmission and synchronization. At the same time, SQGEN adopts an efficient synchronization mechanism to ensure that the generator and discriminator stay in sync throughout the training process, thus avoiding instability during training.
The collaborative quantum generative network architecture researched by WiMi offers significant technological advantages. By utilizing a parallel quantum learning framework and optimized quantum circuit algorithms, it significantly improves training efficiency and shortens the time for the model to reach a converged state. Furthermore, by reducing the number of cost function evaluations and optimizing the quantum communication mechanism, the collaborative quantum generative network reduces quantum resource consumption, making quantum generative learning more economically feasible. In addition, through a carefully designed cost function and synchronization mechanism, it effectively addresses the training instability issue in quantum generative adversarial learning, enhancing the robustness and generalization ability of the model. Within the collaborative learning framework, the generator and discriminator continuously optimize each other, making the generated data closer to the distribution of real data, thus improving the quality and diversity of the generated data. In terms of training speed, SQGEN is also significantly faster than QGAN, and the quality and diversity of the generated data are both improved. This achievement not only validates the effectiveness and superiority of SQGEN but also provides new ideas and methods for the development of quantum generative learning.
As an innovative generative quantum machine learning framework, SQGEN achieves significant improvements over QGAN through its parallel quantum learning framework, optimized quantum circuit algorithms, cost function optimization and evaluation, as well as efficient quantum communication and synchronization mechanisms. In the future, with the continuous development of quantum computing technology and the increasing availability of quantum resources, SQGEN, explored by WiMi, may find applications and be promoted in more fields, injecting new momentum into the development of machine learning and artificial intelligence.
About WiMi Hologram Cloud
WiMi Hologram Cloud, Inc. (NASDAQ:WiMi) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
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