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Intuitive, open-source SDKs that simplify digital, analog, and hybrid quantum algorithm development
Qadence is an open-source Python library by Pasqal that streamlines the development of digital-analog quantum algorithms, with a strong focus on quantum machine learning. Using a block-based, functional programming-inspired approach, it allows users to build complex quantum programs intuitively. Integrated with PyTorch for automatic differentiation and optimization, Qadence enables efficient design and execution of quantum models. By abstracting hardware complexities, it makes quantum computing more accessible to researchers and industry professionals.
Qadence
Qadence is an easy-to-use, open-source Python package designed to implement analog, digital-analog, and digital quantum algorithms.
With its block-based interface, programming feels intuitive and fun, much like building with Legos. The primary focus of Qadence is Quantum Machine Learning (QML).
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Qadence stands out as a powerful yet accessible tool for quantum algorithm development, offering a hybrid, scalable, and hardware-ready solution for real-world quantum applications. By combining ease of use with deep computational power, it enables researchers and businesses to harness neutral-atom quantum computing effectively.
