Dedicated to Quantum Computing Services 专注于量子算力运营 Dedicated to Quantum Computing Services 专注于量子算力运营
One platform connecting applications and algorithm services with classical computing resources and quantum hardware.
一个平台贯通上层应用、算法服务、经典算力与量子算力。
Supports classical simulation of quantum systems, as well as quantum-circuit simulation, optimization, and decomposition on classical hardware.
支撑量子系统的经典模拟，以及量子线路的经典模拟、优化与拆解。
When users submit a task, AI analyzes their requirements, assists with modeling, matches suitable algorithms, and generates quantum circuits.
用户提交任务后，AI 识别任务特征，并根据任务需要辅助建模、匹配适用算法和生成量子线路。
Use tensor networks to simulate quantum systems, or translate quantum circuits into tensor networks for classical simulation, optimization, and decomposition.
利用张量网络模拟量子系统；或将量子线路转化为张量网络，对线路进行经典模拟、优化与拆解。
Based on task characteristics and hardware specifications, AI schedules subtasks to appropriate classical CPU/GPU resources or quantum hardware.
AI 依据任务特征与硬件指标，将子任务调度至适配的 CPU/GPU 经典算力或量子硬件。
Supports quantum circuits deeper than 100 layers and systems of more than 1,000 qubits, with 100-qubit simulation errors as low as 10⁻⁵.
支持 100+ 层量子线路深度、1000+ 量子比特规模，百比特模拟误差可达 10⁻⁵。
A visual interface lets users configure models, parameters, algorithms, and computing resources, providing an end-to-end workflow from task submission to execution.
以可视化方式完成模型、参数、算法与算力配置，贯通任务提交与计算执行。
Supports classical simulation of quantum systems, as well as quantum-circuit simulation, optimization, and decomposition on classical hardware.
支撑量子系统的经典模拟，以及量子线路的经典模拟、优化与拆解。
When users submit a task, AI analyzes their requirements, assists with modeling, matches suitable algorithms, and generates quantum circuits.
用户提交任务后，AI 识别任务特征，并根据任务需要辅助建模、匹配适用算法和生成量子线路。
Use tensor networks to simulate quantum systems, or translate quantum circuits into tensor networks for classical simulation, optimization, and decomposition.
利用张量网络模拟量子系统；或将量子线路转化为张量网络，对线路进行经典模拟、优化与拆解。
Supports quantum circuits deeper than 100 layers and systems of more than 1,000 qubits, with 100-qubit simulation errors as low as 10⁻⁵.
支持 100+ 层量子线路深度、1000+ 量子比特规模，百比特模拟误差可达 10⁻⁵。
For quantum simulation tasks, users configure models in a visual workspace, including lattices, boundary conditions, local degrees of freedom, Hamiltonian parameters, and solver configuration.
对于量子模拟任务，用户在可视化工作区中配置模型，包括晶格、边界条件、局域自由度、哈密顿量参数与求解器配置。
AI assists with task configuration and analysis of computational results.
AI 辅助完成任务配置与计算结果分析。
Developers, platform providers, and users co-create the quantum algorithm ecosystem.
开发者、平台方与用户共建量子算法生态。
Developers, platform providers, and users co-create the quantum algorithm ecosystem.
开发者、平台方与用户共建量子算法生态。
The fifth CCF Quantum Computing Conference and Greater Bay Area Quantum Science Forum advanced deeper integration between quantum technology and industry.
第五届 CCF 量子计算大会暨大湾区量子科学论坛在深圳举行，推动量子科技与产业深度融合。
With quantum hardware still maturing, tensor networks and classical supercomputing provide thousand-qubit simulation for materials and pharmaceuticals.
量子硬件尚未成熟，张量网络结合经典超算，为材料、制药等领域提供千比特级量子模拟能力。
China's first thousand-qubit-scale quantum computing power platform has officially launched in Shenzhen.
国内首个千比特规模的量子计算算力平台在深圳正式发布。
The platform is scheduled for commercial launch in October 2026, accelerating the adoption of thousand-qubit quantum computing power.
平台计划于 2026 年 10 月正式商用，推动千比特量子算力加速走向产业应用。
On May 19, the South China Technology Association visited Entropec to discuss the quantum computing software sector and explore opportunities in this emerging industry.
5 月 19 日，华南科技协会走进熵函数，围绕量子计算软件赛道展开交流。
Physics ultimately helps humanity understand the world at a deeper level.
物理学的终极意义，就是帮人类更深刻地认识这个世界。
The project demonstrates Entropec’s technical strength in quantum computing and its recognition by leading research institutions.
该项目标志着我国本土企业在量子计算领域的技术实力获得顶尖科研机构认可。
Entropec has officially launched an open quantum computing platform to promote the standardized integration of quantum algorithms and computing resources.
熵函数正式发布量子计算开放平台，推动量子算法与算力资源的标准化对接。
By combining AI acceleration with tensor-network technology, Entropec provides research institutions with large-scale, high-precision quantum many-body simulation capabilities.
通过 AI 加速与张量网络技术，为科研机构提供大规模、高精度量子多体模拟能力。
Founded in 2023, Entropec provides tensor-network-based quantum computing and quantum simulation solutions for large-scale systems. Its proprietary Entropec quantum computing engine requires no dedicated quantum hardware. Running on conventional supercomputing clusters, it can simulate quantum circuits with more than 1,000 qubits and depths exceeding 100 layers, achieving relative errors below 10⁻⁵. It can also integrate with quantum hardware to support hybrid classical–quantum computing. The engine offers clear advantages in computational scale, accuracy, and quantum-circuit depth. It can solve many large-scale quantum problems that were previously thought to require quantum computing hardware. Entropec supports frontier R&D in areas where quantum effects are central, including quantum computer manufacturing, molecular drug discovery, superconducting materials, battery interfaces, and high-entropy alloys.
熵函数成立于 2023 年，基于张量网络提供大规模体系下的量子计算和量子模拟解决方案。公司研发的 Entropec 量子计算引擎，无需专用量子硬件，通过经典超算集群即可模拟上千量子比特规模且深度超过百层的量子线路，相对误差优于 1e-5；同时，也可接入量子硬件开展经典—量子融合计算，在计算规模、准确度以及量子线路深度上具备明显优势。可以求解许多原本被认为只有靠量子计算机硬件才能处理的大规模量子问题。Entropec 可广泛应用于量子计算机制造、药物分子、超导材料、电池界面、高熵合金等面向量子效应的前沿研发场景。
The core team comprises PhD graduates from institutions including Caltech, MIT, Tsinghua University, and Nanjing University, and its members have received multiple national, provincial, and municipal science and technology honors.
核心团队由来自 Caltech、MIT、清华大学、南京大学等高校的博士组成，并拥有多项国家及省市级科技荣誉。
Contact us for product inquiries, research collaboration, and project opportunities.
用于产品咨询、科研合作与项目沟通的公开联系方式。