(VentureBeat) Baidu has announced Paddle Quantum, an open source machine learning toolkit designed to help data scientists train and develop AI within quantum computing applications. It’s built atop Baidu’s PaddlePaddle deep learning platform, and Baidu claims it’s “more flexible” compared with other quantum computing suites, reducing the complexity of one popular algorithm — quantum approximate optimization algorithm (QAOA) — by a claimed 50%.
Paddle Quantum supports three quantum applications — quantum machine learning, quantum chemical simulation, and quantum combinatorial optimization — and developers can use it to build quantum models from scratch or by following step-by-step instructions. It includes resources addressing challenges like combinatorial optimization problems and quantum chemistry simulations, as well as complex variable definitions and matrix multiplications enabling quantum circuit models and general quantum computing. It also features an implementation of QAOA that translates into a quantum neural network by identifying a model through classical simulation or running directly on a quantum computer.

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