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Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy Intermediate-Scale Quantum (NISQ) hardware. It serves as a quantum circuit simulator and noise modeler, as well as a tool for the implementation of quantum algorithms. The framework provides a specialized interface for NISQ hardware, allowing users to map logical quantum circuits to physical device topologies while validating hardware connectivity and gate constraints. It distinguishes itself through integrated noise modeling, applying depolarizing and damping channels to mimic
Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits on physical hardware and simulators. It functions as a quantum algorithm framework, a circuit simulator, and a vendor-agnostic hardware interface for dispatching workloads across diverse providers. The project features a quantum circuit transpiler that optimizes abstract designs to match the specific basis gates and qubit connectivity of target hardware. It employs a pass-based transpilation pipeline and symbolic instruction translation to convert high-level circuits into hard
Torchquantum is a tensor-based quantum machine learning library and simulation engine that integrates parameterized quantum circuits directly into PyTorch training pipelines. It enables the construction of hybrid quantum-classical neural networks where quantum operations function as differentiable layers within standard deep learning architectures. The framework computes analytical parameter gradients using native automatic differentiation engines and parameter-shift rules, facilitating end-to-end training and backpropagation. It supports tensor-based quantum state vector simulations, specia
Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
xq-py is a numerical quantum computing library and software emulator used to execute quantum algorithms. It functions as a quantum virtual machine that simulates quantum circuits and state vectors through the use of linear algebra and complex number arrays.
The main features of quipnetwork/xq-py are: Quantum Simulators, Quantum State Collapse, Quantum Computing, Quantum Circuit Design, Unitary Gate Applications, Unitary Matrix Transformations, Full State Vector Simulators, State Vector Expansions.
Open-source alternatives to quipnetwork/xq-py include: quantumlib/cirq — Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy… qiskit/qiskit — Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits… mit-han-lab/torchquantum — Torchquantum is a tensor-based quantum machine learning library and simulation engine that integrates parameterized… boto/boto3 — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud… aws/aws-cdk — The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision… google-research/google-research — This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum…