2 个仓库
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.
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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.
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.