# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2020, The TensorCircuit Authors
# This file is distributed under the same license as the tensorcircuit
# package.
# Xinghan Yang <yang-xinghan@outlook.com>, 2022.
#
msgid ""
msgstr ""
"Project-Id-Version:  tensorcircuit\n"
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"POT-Creation-Date: 2026-06-06 15:34+0800\n"
"PO-Revision-Date: 2026-03-31 12:45+0800\n"
"Last-Translator: Gemini CLI\n"
"Language: zh_CN\n"
"Language-Team: \n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
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"Generated-By: Babel 2.18.0\n"

#: ../../source/index.rst:2
msgid "TensorCircuit Next Generation"
msgstr "TensorCircuit Next Generation"

#: ../../source/index.rst:8
msgid ""
"**Welcome and congratulations! You have found TensorCircuit: the Next "
"Generation.** 👏"
msgstr "**欢迎并祝贺你！你发现了 TensorCircuit-NG。** 👏"

#: ../../source/index.rst:12
msgid "Introduction"
msgstr "介绍"

#: ../../source/index.rst:14
msgid ""
"`TensorCircuit-NG <https://github.com/tensorcircuit/tensorcircuit-ng>`_ "
"is an industrial-grade, open-source high-performance quantum software "
"framework in Python. It is designed for researchers and engineers who "
"demand **Speed, Flexibility, and Elegance**."
msgstr ""
"`TensorCircuit-NG <https://github.com/tensorcircuit/tensorcircuit-ng>`_ "
"是一个工业级、开源的高性能 Python 量子软件框架。它专为追求 **速度、灵活性和优雅** 的研究人员和工程师而设计。"

#: ../../source/index.rst:20
msgid "🧬 Built for Humans"
msgstr "🧬 为人类而生"

#: ../../source/index.rst:23
msgid ""
"Intuitive API that feels like natural quantum physics. Focus on your "
"research, not the boilerplate."
msgstr "直观的 API，感受自然的量子物理。专注于你的研究，而非繁琐的代码。"

#: ../../source/index.rst:25
msgid "🚀 Extreme Performance"
msgstr "🚀 极致性能"

#: ../../source/index.rst:28
msgid ""
"Achieve **10-100x GPU speedup**. Powered by JIT compilation and optimized"
" tensor engines."
msgstr "实现 **10-100 倍 GPU 加速** 。由 JIT 编译和优化的张量引擎驱动。"

#: ../../source/index.rst:30
msgid "🤖 Deep ML Fusion"
msgstr "🤖 深度机器学习融合"

#: ../../source/index.rst:33
msgid ""
"Native integration with **JAX, TensorFlow, and PyTorch**. Seamlessly "
"combine AD with quantum kernels."
msgstr "原生集成 **JAX、TensorFlow 和 PyTorch** 。将自动微分与量子核无缝结合。"

#: ../../source/index.rst:35
msgid "⛓️ Advanced Engines"
msgstr "⛓️ 先进引擎"

#: ../../source/index.rst:38
msgid ""
"State-of-the-art support for **Noisy, Analog, Approximate and "
"Stabilizer** simulations."
msgstr "为 **含噪、模拟、近似和稳定器** 模拟提供最先进的支持。"

#: ../../source/index.rst:40
msgid "☁️ Hardware Agnostic"
msgstr "☁️ 硬件无关"

#: ../../source/index.rst:43
msgid ""
"Run your code anywhere: from local CPUs to distributed GPUs/TPUs and "
"**QPU providers** via a unified interface."
msgstr "随处运行你的代码：从本地 CPU 到分布式 GPU/TPU，以及通过统一接口访问的 **量子硬件（QPU）提供商** 。"

#: ../../source/index.rst:45
msgid "🛠 Industrial Strength"
msgstr "🛠 工业级强度"

#: ../../source/index.rst:48
msgid ""
"Committed to stability and performance. **Long-term support** and proven "
"by extensive research and industrial applications."
msgstr "致力于稳定性和性能。 **长期支持** ，并经过广泛的研究和工业应用验证。"

#: ../../source/index.rst:52
msgid ""
"Please cite our published `whitepaper <https://quantum-"
"journal.org/papers/q-2023-02-02-912/>`_ when using TensorCircuit or "
"TensorCircuit-NG in your research. The bibtex information is provided by "
"``tc.cite()``."
msgstr ""
"在研究中使用 TensorCircuit 或 TensorCircuit-NG 时，请引用我们已发表的 `白皮书 <https"
"://quantum-journal.org/papers/q-2023-02-02-912/>`_。BibTeX 信息可通过 "
"``tc.cite()`` 获取。"

#: ../../source/index.rst:55
msgid ""
"TensorCircuit-NG is the active continuation of TensorCircuit project. We "
"recommend upgrading to TensorCircuit-NG for the latest features and "
"improvements. You can upgrade by running the following command: ``pip "
"uninstall tensorcircuit && pip install tensorcircuit-ng``"
msgstr ""
"TensorCircuit-NG 是 TensorCircuit 项目的活跃延续。我们建议升级到 TensorCircuit-NG "
"以获取最新功能和改进。您可以通过运行以下命令进行升级：``pip uninstall tensorcircuit && pip install "
"tensorcircuit-ng``"

#: ../../source/index.rst:62
msgid "Get Started in Seconds"
msgstr "秒级上手"

#: ../../source/index.rst:64
msgid "Install with one line:"
msgstr "单行安装："

#: ../../source/index.rst:70
msgid "Simulate your first circuit:"
msgstr "模拟你的第一个量子线路："

#: ../../source/index.rst:88
msgid "Useful Links"
msgstr "有用链接"

#: ../../source/index.rst:91
msgid ""
"TensorCircuit is created and now maintained as `TensorCircuit-NG "
"<https://github.com/tensorcircuit/tensorcircuit-ng>`_ by `Shi-Xin Zhang "
"<https://github.com/refraction-ray>`_."
msgstr ""
"TensorCircuit 由 `Shi-Xin Zhang <https://github.com/refraction-ray>`_ "
"创建，现作为 `TensorCircuit-NG <https://github.com/tensorcircuit/tensorcircuit-"
"ng>`_ 维护。"

#: ../../source/index.rst:94
msgid ""
"The current core authors of TensorCircuit-NG are `Shi-Xin Zhang "
"<https://github.com/refraction-ray>`_ and `Yu-Qin Chen "
"<https://github.com/yutuer21>`_. We also thank `contributions "
"<https://github.com/tensorcircuit/tensorcircuit-ng/graphs/contributors>`_"
" from the open source community."
msgstr ""
"TensorCircuit-NG 目前的核心作者是 `Shi-Xin Zhang <https://github.com/refraction-"
"ray>`_ 和 `Yu-Qin Chen <https://github.com/yutuer21>`_ 。我们也感谢来自开源社区的 `贡献 "
"<https://github.com/tensorcircuit/tensorcircuit-ng/graphs/contributors>`_"
" 。"

#: ../../source/index.rst:97
msgid ""
"For bug reports and technical discussions, please use the issue tracker "
"or forum below. For industrial project usage, commercial collaboration, "
"enterprise deployment, or consulting inquiries, please contact "
"shixinzhang#iphy.ac.cn."
msgstr "对于缺陷报告和技术讨论，请使用下方的缺陷跟踪器或论坛。对于工业项目使用、商业合作、企业部署或咨询问询，请联系 shixinzhang#iphy.ac.cn。"

#: ../../source/index.rst:103
msgid "Source code"
msgstr "源代码"

#: ../../source/index.rst:107
msgid "GitHub"
msgstr "GitHub"

#: ../../source/index.rst:110
msgid "PyPI"
msgstr "PyPI"

#: ../../source/index.rst:114
msgid "``pip install tensorcircuit-ng``"
msgstr "``pip install tensorcircuit-ng``"

#: ../../source/index.rst:117
msgid "Documentation"
msgstr "参考文档"

#: ../../source/index.rst:121
msgid "Readthedocs"
msgstr "Readthedocs"

#: ../../source/index.rst:124
msgid "Whitepaper"
msgstr "白皮书"

#: ../../source/index.rst:128
msgid "*Quantum* journal"
msgstr "Quantum 期刊"

#: ../../source/index.rst:131
msgid "Issue Tracker"
msgstr "问题跟踪"

#: ../../source/index.rst:135
msgid "GitHub Issues"
msgstr "GitHub Issues"

#: ../../source/index.rst:138
msgid "Forum"
msgstr "论坛"

#: ../../source/index.rst:142
msgid "GitHub Discussions"
msgstr "GitHub Discussions"

#: ../../source/index.rst:146
msgid "DockerHub"
msgstr "DockerHub"

#: ../../source/index.rst:150
msgid "``docker pull``"
msgstr "``docker pull``"

#: ../../source/index.rst:153
msgid "Research and Applications"
msgstr "研究与应用"

#: ../../source/index.rst:157
msgid "Academic and industrial use cases"
msgstr "学术与工业应用案例"

#: ../../source/index.rst:164
msgid "Unified Quantum Programming"
msgstr "统一量子编程"

#: ../../source/index.rst:166
msgid ""
"TensorCircuit-NG is building the future of unified quantum computing "
"infrastructures."
msgstr "TensorCircuit-NG 正在构建统一量子计算基础设施的未来。"

#: ../../source/index.rst:173
msgid "🛠 Unified Backends"
msgstr "🛠 统一后端"

#: ../../source/index.rst:177
msgid "JAX, TensorFlow, PyTorch, Numpy, Cupy"
msgstr "JAX, TensorFlow, PyTorch, Numpy, Cupy"

#: ../../source/index.rst:179
msgid "💻 Unified Devices"
msgstr "💻 统一设备"

#: ../../source/index.rst:183
msgid "CPU, GPU, and TPU support"
msgstr "支持 CPU、GPU 和 TPU"

#: ../../source/index.rst:185
msgid "🏛 Unified Providers"
msgstr "🏛 统一平台"

#: ../../source/index.rst:189
msgid "QPUs from major vendors"
msgstr "不同供应商的 QPU"

#: ../../source/index.rst:191
msgid "🌐 Unified Resources"
msgstr "🌐 统一资源"

#: ../../source/index.rst:195
msgid "Local, Cloud, and HPC environments"
msgstr "本地、云和 HPC 环境"

#: ../../source/index.rst:203
msgid "🎛 Unified Interfaces"
msgstr "🎛 统一接口"

#: ../../source/index.rst:207
msgid "Numerical sim and hardware experiments"
msgstr "数值模拟/硬件实验"

#: ../../source/index.rst:209
msgid "⚙️ Unified Engines"
msgstr "⚙️ 统一引擎"

#: ../../source/index.rst:213
msgid "Ideal, Noisy, Analog, and Stabilizer"
msgstr "理想、含噪、模拟和稳定器"

#: ../../source/index.rst:215
msgid "📝 Unified Representations"
msgstr "📝 统一表示"

#: ../../source/index.rst:219
msgid "Qiskit, OpenQASM, Cirq, and IR"
msgstr "Qiskit、OpenQASM、Cirq 和 IR"

#: ../../source/index.rst:221
msgid "🧊 Unified Objects"
msgstr "🧊 统一对象"

#: ../../source/index.rst:225
msgid "Neural Nets, Tensor Nets, and Circuits"
msgstr "神经网络、张量网络和量子线路"

#: ../../source/index.rst:231
msgid "Reference Documentation"
msgstr "参考文档"

#: ../../source/index.rst:233
msgid ""
"The following documentation sections briefly introduce TensorCircuit-NG "
"to the users and developpers."
msgstr "以下文档部分向用户和开发者简要介绍了 TensorCircuit-NG。"

#: ../../source/index.rst:247
msgid "Tutorials"
msgstr "教程"

#: ../../source/index.rst:249
msgid ""
"The following documentation sections include integrated examples in the "
"form of Jupyter Notebook."
msgstr "以下 Jupyter Notebook 格式的文档包括了一系列使用 TensorCircuit 的集成案例。"

#: ../../source/index.rst:263
msgid "API References"
msgstr "API 参考"

#: ../../source/index.rst:272
msgid "Indices and Tables"
msgstr "索引和表格"

#: ../../source/index.rst:274
msgid ":ref:`genindex`"
msgstr ":ref:`genindex`"

#: ../../source/index.rst:275
msgid ":ref:`modindex`"
msgstr ":ref:`modindex`"

#: ../../source/index.rst:276
msgid ":ref:`search`"
msgstr ":ref:`search`"

#: ../../source/index.rst:279
msgid "Join the Community"
msgstr "加入社区"

#: ../../source/index.rst:281
msgid "We are always looking for contributors and collaborators!"
msgstr "我们一直在寻找贡献者和合作伙伴！"

#: ../../source/index.rst:283
msgid ""
"Check out our `GitHub Discussions <https://github.com/tensorcircuit"
"/tensorcircuit-ng/discussions>`_ for questions and show-and-tell."
msgstr ""
"查看我们的 `GitHub Discussions <https://github.com/tensorcircuit"
"/tensorcircuit-ng/discussions>`_ 进行提问和成果展示。"

#: ../../source/index.rst:284
msgid ""
"Report bugs or request features via `GitHub Issues "
"<https://github.com/tensorcircuit/tensorcircuit-ng/issues>`_."
msgstr ""
"通过 `GitHub Issues <https://github.com/tensorcircuit/tensorcircuit-"
"ng/issues>`_ 报告错误或请求新功能。"

#: ../../source/index.rst:285
msgid "Star the repository to stay updated! ⭐"
msgstr "给仓库点亮 Star 以保持关注！⭐"

#~ msgid ""
#~ "If you have any further questions "
#~ "or collaboration ideas, please use the"
#~ " issue tracker or forum below, or "
#~ "send email to shixinzhang#iphy.ac.cn"
#~ msgstr "如果您有任何进一步的问题或合作想法，请使用下方的问题跟踪器或论坛，或发送邮件至 shixinzhang#iphy.ac.cn"

#~ msgid "Research using TC"
#~ msgstr "研究项目"










