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Show HN: TyxonQ, A Chinese Full-Stack Quantum Software Framework on Real Machine

https://github.com/QureGenAI-Biotech/TyxonQ
1•TyxonQ•2d ago
TyxonQ Quantum" Global Launch: Dawn of Stable Quantum Computing Era

QureGenAI—TyxonQ: World's First Production-Ready Quantum-Classical Hybrid Computing Platform with Pulse-Level Control Now Fully Open

Beijing, July 22, 2025 – Quantum computing industrialization achieves a critical milestone. TyxonQ, the full-stack quantum software framework developed by QureGenAI BioTech (Suzhou) Life Science Technology Co., Ltd., officially launches today. Built under the Apache 2.0 open-source license, this framework pioneers deep integration of quantum hardware and software stacks, delivering a production-ready toolchain for industrial users to access quantum computing power.

1. Core Advancement: Real Quantum Hardware Integration TyxonQ enables enterprise users to directly schedule tasks on Homebrew_S2 superconducting quantum processors via its self-developed quantum cloud platform:

# 量子硬件调用示例 import tyxonq as tq from tyxonq.cloud import apis apis.set_token("YOUR_API_KEY") # 通过tyxonq.com获取 task = apis.submit_task(device="homebrew_s2", circuit=my_circuit)

The platform supports multi-layer quantum control, including gate operations and pulse signal modulation. In benchmark quantum chemistry tasks, Homebrew_S2 demonstrates significant efficiency gains over classical architectures, enabling practical applications in drug discovery and beyond.

2. Breakthrough Tech: Quantum + AI Dual-Engine Architecture TyxonQ innovatively merges generative AI with heterogeneous computing, offering three core advantages: ① Accessible Quantum Computing Power It is the first global deployment of Homebrew_S2 superconducting processors, executes algorithms on real quantum hardware (not simulators), pioneers Quantum-Per-Second (qps) granular billing system and slashes usage barriers. ② AI-Native Quantum Compilation ③ World’s first Generative Quantum Eigensolver (GQE) integrated It accomplishes "natural language →quantum circuit" translation (experimental), supports quantum machine learning (QML) pretrained models. The cross-domain solutions for quantum chemistry, drug discovery & materials science, integrates auto-differentiation, tensor network acceleration with seamless PyTorch/TensorFlow compatibility.

3. Biomedical Innovation TyxonQ delivers transformative value in biomedicine: Accelerated Schrödinger Equation Solving: Simulates non-standard amino acids/metal ion effects—beyond traditional AI capabilities QM/MM Integration: Unified quantum chemistry/molecular dynamics workflows via Python “Since 2023, we’ve proven industrial-scale quantum drug design feasibility in QureGenAI’s 2024 paper A Hybrid Quantum Computing Pipeline for Real World Drug Discovery. With TyxonQ's launch, we aspire to attract broader interdisciplinary communities to join us. We are committed to minimizing quantum computing entry barriers for collaborators across all knowledge domains." states Dr. Li Xiaoran, CEO of QureGenAI. "

4. Developer Ecosystem & Roadmap The platform adopts the Apache 2.0 open-source license, enabling developers to access resources through:

pip install tyxonq

or access the GitHub repository for immediate integration. Our version roadmap maintains full transparency: V1.x (Released): Hardware execution / Auto-differentiation / VQE algorithms V2.x (Development): Quantum API gateway / LLM integration / Pulse-level control V3.x (Planned): Distributed quantum networks / Enterprise cloud platform

5. Experience Quantum Today Visit www.tyxonq.com and redeem code "量子未来无限可能" for 100 QAU computing credits to run your first quantum program on Homebrew_S2!

"We’re turning blueprints into reality," emphasizes QureGenAI’s CEO. "Traditional tools build houses; quantum tools create molecular-scale materials. This marks the true dawn of QuantumAIDD."

Resource Links: Official Platform: https://www.tyxonq.com Business Inquiries: bd@quregenai.com Developer Support: code@quregenai.com

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