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D-Wave Quantum Inc. Launches Open-Source Toolkit for Quantum AI and Machine Learning

TL;DR

D-Wave Quantum Inc. introduces a developer toolkit for quantum AI, offering a competitive edge in integrating quantum computing with AI and ML frameworks.

D-Wave's new toolkit enables direct integration of quantum computers with PyTorch, facilitating the building and training of ML models using quantum computing.

D-Wave's quantum AI toolkit accelerates innovation, potentially solving complex global challenges faster and improving future technological advancements.

Explore how D-Wave's quantum AI toolkit merges quantum computing with AI, opening new frontiers in technology and research.

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D-Wave Quantum Inc. Launches Open-Source Toolkit for Quantum AI and Machine Learning

D-Wave Quantum Inc. (NYSE: QBTS) has unveiled an innovative open-source toolkit designed to enhance the integration of quantum computing with artificial intelligence (AI) and machine learning (ML). This toolkit, a component of D-Wave's OceanTM software suite, allows for the seamless connection between quantum processors and PyTorch, a prominent ML framework. It aims to empower developers by providing them with the tools necessary to push the boundaries of AI and ML through quantum computing.

The toolkit features a PyTorch neural network module tailored for the creation and training of restricted Boltzmann machines (RBMs) on quantum computers. This advancement addresses the increasing interest from customers looking to harness the synergy between quantum computing and AI technologies. Dr. Trevor Lanting, D-Wave's chief development officer, highlighted the toolkit's significance in fulfilling this need, pointing out its potential to speed up research and practical applications in quantum AI.

Early users of D-Wave's quantum AI toolkit include Japan Tobacco Inc., the Jülich Supercomputing Centre at Forschungszentrum Jülich, and TRIUMF, Canada's particle accelerator center. These partnerships demonstrate the toolkit's broad applicability across various sectors and research areas. For more details on D-Wave's initiative, visit https://ibn.fm/CJpIm. This development marks a pivotal step in making quantum computing more accessible and useful for tackling intricate challenges in AI and other domains.

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