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Cirq is Google's open-source quantum computing toolkit for designing, simulating, and deploying circuits on Google Quantum AI hardware and other backends while modeling noise, transforming circuits, and orchestrating experiments.

PennyLane is a hardware-agnostic quantum ML framework that lets you train parametrized quantum circuits with automatic differentiation, build hybrid quantum-classical models, and switch between simulators and hardware with tight PyTorch/JAX/TensorFlow integration.

Bridge circuit design, optimization, visualization, and IBM Quantum execution with Qiskit. Install via pip, compose circuits, transpile for hardware, run on simulators or cloud backends, and analyze histograms or quantum states.

QuTiP is a Python library for simulating open and closed quantum systems, offering solvers, analysis, visualization, and advanced methods aimed at research, teaching, and modeling Lindblad dynamics or decoherence.

Rowan delivers cloud-based quantum chemistry via a Python API for pKa estimation, geometry optimization, conformer search, docking, and AI protein cofolding, giving scientists remote compute and automation for molecular workflows without local setup.