# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2020-2026, TensorCircuit-NG Development Team. Created by
# Shi-Xin Zhang.
# This file is distributed under the same license as the tensorcircuit-ng
# package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2026.
#
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msgstr ""
"Project-Id-Version: tensorcircuit-ng \n"
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"POT-Creation-Date: 2026-06-06 15:34+0800\n"
"PO-Revision-Date: 2026-03-31 13:30+0800\n"
"Last-Translator: Gemini CLI\n"
"Language: zh_CN\n"
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#: ../../source/agentic.rst:2
msgid "Agentic Development"
msgstr "智能体（Agent）开发"

#: ../../source/agentic.rst:5
msgid ""
"TensorCircuit-NG is the world's first AI-native quantum programming "
"platform, purpose-built for agentic research and automated scientific "
"discovery."
msgstr "TensorCircuit-NG 是全球首个 AI 原生量子编程平台，专为智能体（Agent）辅助研究和自动化科学发现而设计。"

#: ../../source/agentic.rst:10
msgid "🚀 Experience Agent-Native Discovery"
msgstr "🚀 体验智能体原生发现"

#: ../../source/agentic.rst:16
msgid ""
"Click here to see how AI agents autonomously solve complex quantum "
"problems in TensorCircuit-NG."
msgstr "点击这里查看 AI 智能体如何在 TensorCircuit-NG 中自主解决复杂的量子问题。"

#: ../../source/agentic.rst:21
msgid "Why Work Within the Repository?"
msgstr "为什么要在仓库内工作？"

#: ../../source/agentic.rst:23
msgid ""
"To write scripts and applications efficiently with AI coding agents "
"(e.g., ClaudeCode, Cursor, Codex, Antigravity, OpenCode), we strongly "
"recommend working directly within the local repository."
msgstr ""
"为了高效地使用 AI 编程智能体（如 ClaudeCode、Curso"
"r、Codex、Antigravity、OpenCode）编写脚本和应"
"用程序，我们强烈建议直接在本地仓库内工作。"

#: ../../source/agentic.rst:26
msgid ""
"**Rich Context**: The repository contains over 100 scripts in "
"``examples/`` and extensive test cases in ``tests/``. These provide "
"essential references that significantly reduce AI hallucinations and help"
" the agent understand idiomatic usage."
msgstr ""
"**丰富的上下文**: 仓库中的 ``examples/`` 目录下包含 100 多个脚本，``tests/`` 目录下有大量的测试用例。这些为 "
"AI 提供了必不可少的参考，显著减少了 AI 幻觉，并帮助智能体理解地道的用法。"

#: ../../source/agentic.rst:27
msgid ""
"**Built-in Rules**: We provide a dedicated `AGENTS.md "
"<https://github.com/tensorcircuit/tensorcircuit-"
"ng/blob/master/AGENTS.md>`_ file. It serves as the \"handbook\" (similar "
"to ``CLAUDE.md``) for AI agents, defining coding standards and best "
"practices."
msgstr ""
"**内置规则**: 我们提供了一个专门的 `AGENTS.md <https://github.com/tensorcircuit"
"/tensorcircuit-ng/blob/master/AGENTS.md>`_ 文件。它是 AI 智能体的“手册”（类似于 "
"``CLAUDE.md``），定义了编码标准和最佳实践。"

#: ../../source/agentic.rst:28
msgid ""
"**Specialized Agentic Skills**: The ``.agents/skills/`` directory "
"contains specialized workflows to guide AI assistants on complex, multi-"
"step tasks."
msgstr "**专业智能体技能**: ``.agents/skills/`` 目录包含了专门的工作流，用于引导 AI 助手完成复杂的多步任务。"

#: ../../source/agentic.rst:31
msgid "Specialized Agentic Skills"
msgstr "专业智能体技能"

#: ../../source/agentic.rst:33
msgid ""
"TensorCircuit-NG includes built-in agentic skills that can be activated "
"by compatible AI agents to perform advanced tasks:"
msgstr "TensorCircuit-NG 包含了内置的智能体技能，可由兼容的 AI 智能体激活以执行高级任务："

#: ../../source/agentic.rst:35
msgid ""
"**arxiv-reproduce**: Autonomously reproduces arXiv papers with "
"standardized output and code quality validation."
msgstr "**arxiv-reproduce**: 自主复现 arXiv 论文，具有标准化的输出和代码质量校验。"

#: ../../source/agentic.rst:36
msgid ""
"**performance-optimize**: Scientific execution and memory optimization "
"workflow (JAX scanning, vectorized parallelism, etc.)."
msgstr "**performance-optimize**: 科学执行与内存优化工作流（JAX scanning、向量化并行等）。"

#: ../../source/agentic.rst:37
msgid ""
"**tc-rosetta**: End-to-end framework translation (from Qiskit, PennyLane,"
" etc.) with intrinsic mathematical intent rewriting."
msgstr "**tc-rosetta**: 端到端框架转换（从 Qiskit、PennyLane 等转换），具有内在数学意图重写功能。"

#: ../../source/agentic.rst:38
msgid ""
"**tutorial-crafter**: Transforms raw scripts into comprehensive, "
"narrative-driven educational tutorials."
msgstr "**tutorial-crafter**: 将原始脚本转换为全面的、叙事驱动的教学教程。"

#: ../../source/agentic.rst:39
msgid ""
"**demo-generator**: Transforms scripts into interactive, high-performance"
" Streamlit GUI applications."
msgstr "**demo-generator**: 将脚本转换为交互式、高性能的 Streamlit GUI 应用程序。"

#: ../../source/agentic.rst:40
msgid ""
"**code-reviewer**: Autonomously reviews and refactors code for "
"mathematical correctness and performance."
msgstr "**code-reviewer**: 自主审查和重构代码，以确保数学正确性和性能。"

#: ../../source/agentic.rst:41
msgid ""
"**sanity-checker**: Systematic audit and refactoring to reduce technical "
"debt, improve abstractions, and ensure codebase health."
msgstr "**sanity-checker**：系统性审计 and 重构，以减少技术债务、改善抽象并确保代码库的健康。"

#: ../../source/agentic.rst:42
msgid ""
"**meta-explorer**: High-intensity autonomous research agent for circuit "
"architecture and optimization strategy discovery (VQE, QML, QAOA, etc.)."
msgstr "**meta-explorer**: 高强度的自主研究智能体，用于线路架构和优化策略发现（VQE、QML、QAOA 等）。"

#: ../../source/agentic.rst:45
msgid "Recommended Workflow"
msgstr "推荐工作流"

#: ../../source/agentic.rst:47
msgid "**Clone the repository**:"
msgstr "**克隆仓库**:"

#: ../../source/agentic.rst:53
msgid "**Switch to a local playground branch**:"
msgstr "**切换到本地测试（playground）分支**:"

#: ../../source/agentic.rst:59
msgid ""
"**Open the repository folder in your AI IDE**: Start writing TC-NG-based "
"scripts using natural language instructions."
msgstr "**在 AI IDE 中打开仓库文件夹**: 开始使用自然语言指令编写基于 TensorCircuit-NG 的脚本。"

#: ../../source/agentic.rst:61
msgid ""
"By integrating extreme performance with an autonomous, intent-driven AI "
"workflow, TensorCircuit-NG empowers researchers to transition from manual"
" coding to automated scientific discovery."
msgstr "通过将极致性能与自主的、意图驱动的 AI 工作流相结合，TensorCircuit-NG 助力研究人员从手动编码转向自动化的科学发现。"

#: ../../source/agentic.rst:64
msgid "AI-Native Documentation"
msgstr "AI 原生文档"

#: ../../source/agentic.rst:66
msgid ""
"One can also refer to AI-native docs for tensorcircuit-ng: `Devin "
"Deepwiki <https://deepwiki.com/tensorcircuit/tensorcircuit-ng>`_, `Google"
" Code Wiki <https://codewiki.google/github.com/tensorcircuit"
"/tensorcircuit-ng>`_, and `Context7 MCP "
"<https://context7.com/tensorcircuit/tensorcircuit-ng>`_."
msgstr ""
"您也可以参考 TensorCircuit-NG 的 AI 原生文档：`"
"Devin Deepwiki <https://deepwiki.co"
"m/tensorcircuit/tensorcircuit-ng>`_"
"、`Google Code Wiki <https://codewik"
"i.google/github.com/tensorcircuit/t"
"ensorcircuit-ng>`_ 和 `Context7 MCP "
"<https://context7.com/tensorcircuit"
"/tensorcircuit-ng>`_。"










