D-Wave Quantum stock rises after release of quantum AI toolkit

Investing.com -- D-Wave Quantum Inc. (NYSE:QBTS) stock rose 3.7% following the company’s announcement of a new collection of offerings aimed at helping developers explore and advance quantum artificial intelligence (AI) and machine learning (ML) innovation.

The quantum computing leader released an open-source quantum AI toolkit and demo that enables developers to integrate quantum computers into modern ML architectures. The toolkit, part of D-Wave’s Ocean software suite, provides direct integration between the company’s quantum computers and PyTorch, a widely used ML framework for building and training deep learning models.

D-Wave’s new toolkit includes a PyTorch neural network module for using quantum computers to build and train restricted Boltzmann machine (RBM) models, which are employed for generative AI tasks such as image recognition and drug discovery. The company aims to address computational challenges in training AI models by making it easier for developers to experiment with quantum computing.

"With this new toolkit and demo, D-Wave is enabling developers to build architectures that integrate our annealing quantum processors into a growing set of ML models," said Dr. Trevor Lanting, chief development officer at D-Wave.

The company is working with customers on exploratory quantum AI projects, including Japan Tobacco Inc. (TYO:2914), Jülich Supercomputing Centre, and TRIUMF, Canada’s particle accelerator center. These collaborations have shown promising results in drug discovery and particle physics simulations.

Benchmark analyst David Williams reiterated a Buy rating and $20.00 price target on D-Wave Quantum Inc. The analyst commented, "We maintain our Buy rating and $20 PT following our fireside chat and investor Q&A with D-Wave’s CEO, Alan Baratz, and CFO, John Markovich and come away with increased confidence in the company’s continued technology roadmap execution and improving traction in its go to market strategy, which is driving adoption of the firm’s annealing architecture."

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