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Awesome GitHub RepositoriesQuantum

Modeling the physical connectivity and operational constraints of quantum devices to ensure circuit compatibility.

Distinct from Hardware Capability Modeling: Models quantum device connectivity, unlike CNC mechanical travel limits or general IoT capabilities.

Explore 2 awesome GitHub repositories matching hardware & iot · Quantum. Refine with filters or upvote what's useful.

Awesome Quantum GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • quantumlib/cirqquantumlib 的头像

    quantumlib/Cirq

    4,990在 GitHub 上查看↗

    Cirq 是一个 Python 量子计算框架,用于在含噪声中等规模量子(NISQ)硬件上设计、模拟和执行量子电路。它既是一个量子电路模拟器和噪声建模器,也是实现量子算法的工具。 该框架为 NISQ 硬件提供了专门的接口,允许用户将逻辑量子电路映射到物理设备拓扑,同时验证硬件连接性和门约束。它通过集成噪声建模脱颖而出,应用去极化和阻尼通道来模拟真实量子处理器中发现的退相干和错误。 该项目涵盖了广泛的功能,包括量子电路设计、硬件集成和状态模拟。它包括用于门分解、硬件拓扑映射以及执行傅里叶变换和非结构化数据搜索等基本量子过程的工具。此外,它还提供了用于分子基态计算和硬件保真度基准测试的分析工具。

    Defines the physical connectivity and constraints of a device to ensure circuits are compatible.

    Pythonalgorithmsapicirq
    在 GitHub 上查看↗4,990
  • microsoft/quantummicrosoft 的头像

    microsoft/Quantum

    4,043在 GitHub 上查看↗

    Quantum is a quantum development framework that provides a hybrid quantum-classical workflow for coordinating execution between classical host languages and quantum processors. It includes a quantum hardware simulator for modeling state evolution and a library of quantum algorithms for tasks such as integer factorization, database search, and quantum arithmetic. The project offers specialized tools for quantum hardware characterization and error correction to manage noise and decoherence. It provides resource estimation modeling to calculate the qubit count and gate depth required to execute

    Provides analytical tools to determine the physical properties of quantum hardware components using classical data.

    Jupyter Notebookpythonqdkqsharp
    在 GitHub 上查看↗4,043
  1. Home
  2. Hardware & IoT
  3. Hardware Capability Modeling
  4. Quantum

探索子标签

  • System CharacterizationAnalytical tools for determining the physical properties and noise profiles of quantum hardware. **Distinct from Quantum:** Focuses on analyzing hardware behavior and noise via classical data, not just connectivity modeling.