Thewake Systems

About Us

Thewake Systems is a Quantum AI Startup headquartered in Shanghai, China. We are on a mission to rebuild the world with quantum-inspired AI.

Our core technology, Quantum Generated Parameter (QGP), is a high-density intelligence construction method based on quantum computing principles. To compensate for compression-induced information loss, we introduce quantum-generated parameters, which are materialized as classical tensors after-training. We have mathematically proven that its knowledge representation capability is substantially superior to existing neural network construction systems, particularly Transformer-based systems that rely on contextual understanding. The method has been efficiently implemented on multiple domestic AI chips via quantum simulation and has undergone trial operation on real quantum devices.

The relevant privatization models have been deployed in precision manufacturing and embodied machinery, etc., validating the establishment of a commercialization loop. Our cloud-based large model products are scheduled to begin internal testing and launch in September 2026. These developments position us well within the global AI MaaS market, which is projected to expand from over $10 billion in 2025 to more than $50 billion by 2030.

We will strengthen our partnerships with China's top universities and leverage quantum computing to develop high-density foundational intelligent models for finer-grained scenarios.

Company Culture

Our Mission: Quantum-inspired AI to rebuild the world

Our Vision: Become the world's leading provider of "quantum-classical" intelligent models, enabling every classical device to possess quantum-level intelligence.

Our Values: Serve the people wholeheartedly

Work Environment

Core Technology & Products

Quantum Language - Thewake-QL

Quantum Operator - Thewake-QC

Quantum Model - Thewake-QM

Research

Thewake RiverYtz Lab

Quantum-native intelligence for physical world systems

Our research explores quantum-classical computing, physics-aware learning, and next-generation AI operators for embodied intelligence, industrial intelligence, and scientific discovery.

Publications

Selected papers from the Thewake systems, with authors, venues, and links to full text and code.

WAIC 2026 workshop

best paper

RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines

Xindian Ma, Xinyu Long, Yefei Zhang, Yanchen Liu, Xianghao Li, Yufu Wen, Yike Hu, Yuedong Zhu, Zeyang Ma, Wen Qin, Yikun Wang, Peng Yang, Monan Wang, Teng Yu

Quantum computing provides a powerful paradigm for representing and transforming high-dimensional information through superposition, entanglement, and measurement-induced nonlinear features. While current quantum hardware is not yet practical for direct large-scale vision-language model (VLM) inference, simulated quantum computation can be used during model construction to generate structured parameters for compact classical AI systems. We build RiverONE, a lightweight vision-language model for quantum calibration plot understanding, using simulated quantum computation. It employs a specialized visual encoder and an InternVL-based language backbone. To compensate for compression-induced information loss, we introduce quantum-generated parameters, which are materialized as classical tensors after training. This allows RiverONE to run entirely on classical GPUs at inference time, with no quantum hardware or runtime quantum simulation. With approximately 1.9 billion parameters, RiverONE achieves at least 95% of the performance of NVIDIA Ising Calibration 1 on quantum calibration plot understanding tasks while using less than 10% of its parameter count. These results suggest that simulated quantum computation can serve as a practical construction-stage mechanism for building lightweight, knowledge-intensive scientific VLMs.

PDF Project

2024 · ASPLOS '24

Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions

Chunwei Xia, Jiacheng Zhao, Qianqi Sun, Zheng Wang, Yuan Wen, Teng Yu, Xiaobing Feng, Huimin Cui

Optimizing deep neural network (DNN) execution is important but becomes increasingly difficult as DNN complexity grows. Existing DNN compilers cannot effectively exploit optimization opportunities across operator boundaries, leaving room for improvement. To address this challenge, we present Souffle, an open-source compiler that optimizes DNN inference across operator boundaries. Souffle creates a global tensor dependency graph using tensor expressions, traces data flow and tensor information, and partitions the computation graph into subprograms based on dataflow analysis and resource constraints. Within a subprogram, Souffle performs local optimization via semantic-preserving transformations, finds an optimized program schedule, and improves instruction-level parallelism and data reuse. We evaluate Souffle using six representative DNN models on an NVIDIA A100 GPU. Experimental results show that Souffle consistently outperforms six state-of-the-art DNN optimizers, delivering a geometric mean speedup of up to 3.7× over TensorRT and 7.8× over TensorFlow XLA.

PDF DOI

Supply Chain Matrix

AMD

AMD is a leading company in high-performance and adaptive computing, providing innovative products that drive data center, embedded systems, gaming, and PC markets forward.

Hyqubit

Hyqubit (Beijing) Quantum Technology Co., Ltd. focuses on ion trap quantum computing technology, providing quantum cloud computing services with internationally leading technical capabilities.

Xuanwo Tech

Xuanwo Technology (Yibin) Co., Ltd. focuses on AI hardware R&D and scenario implementation, providing full lifecycle solutions from demand analysis to mass production delivery.

NetEase Youdao

Founded in 2006, NetEase Youdao is an education technology company dedicated to serving learners with AI-powered learning tools and platforms.

Arclight Quantum

Arclight Quantum is a pioneer in quantum computing software, providing cutting-edge quantum machine learning and biochemistry solutions for finance, materials, and pharmaceutical industries.

Zhixing Hey

Zhixing Hey (Yibin) Technology Development Co., Ltd. provides one-stop solutions for talent retention, entrepreneurship, and employment services in Yibin.

Supplier Recruitment

If you are interested in cooperating, please fill in the supplier intention registration form and confidentiality agreement and send it back to the email: Research@thewakesystems.com

Investor Relations

Beijing Cyberpunk Singularity Technology Center (Limited Partnership)

Ningbo Zheyi Electronics Co., Ltd.

Infinite Voyage Venture Capital (Tianjin) Partnership Enterprise (Limited Partnership)

MPlus HK I Limited

Shuimu Huaqing (Guangzhou) Venture Capital Partnership Enterprise (Limited Partnership)

Shenzhen Zhuoyuan Morning Star Seed Venture Capital Partnership Enterprise (Limited Partnership)

Shenzhen Zhuoyuan Intelligent Venture Capital Partnership Enterprise (Limited Partnership)

Beijing Zhongchuang Star No.9 Enterprise Management Center (Limited Partnership)

Invest In Us

Thewake Systems is open to cooperation with domestic and foreign insurance investment institutions, financial lending institutions, and individual investors. If you are interested in cooperation, please fill in the Investment Intention Registration Form and Non-Disclosure Agreement and send it back to the email: Research@thewakesystems.com

Join Us

Marketing Manager

AI Development Intern