FAQ on D-Wave Quantum Inc.'s Open-Source Toolkit for Quantum AI and Machine Learning

What is the main purpose of D-Wave Quantum Inc.’s new toolkit?

The toolkit is designed to accelerate quantum artificial intelligence (AI) and machine learning (ML) innovation by enabling developers to integrate D-Wave’s quantum processors into modern AI and ML frameworks.

How does the toolkit integrate with existing ML frameworks?

As part of D-Wave’s OceanTM software suite, the toolkit enables direct integration between D-Wave’s quantum computers and PyTorch, a widely used ML framework for building and training deep learning models.

A restricted Boltzmann machine (RBM) is a type of ML model that can be built and trained using a quantum computer, and the toolkit includes a PyTorch neural network module specifically for this purpose.

Who are some of the customers collaborating with D-Wave on quantum AI projects?

D-Wave is working with customers such as Japan Tobacco Inc., Jülich Supercomputing Centre at Forschungszentrum Jülich, and TRIUMF, Canada’s particle accelerator center, on exploratory quantum AI projects.

Where can I find more information about D-Wave Quantum Inc.?

More information about D-Wave Quantum Inc. and their quantum computing systems can be found on their website: www.dwavequantum.com.

Where can I view the full press release about the toolkit launch?

The full press release can be viewed at https://ibn.fm/CJpIm.

What makes D-Wave’s quantum computers unique?

D-Wave’s quantum computers are the world’s first commercial suppliers of quantum computers, featuring QPUs with sub-second response times and can be deployed on-premises or accessed through their quantum cloud service with 99.9% availability and uptime.

How many problems have been submitted to D-Wave’s quantum systems to date?

Over 200 million problems have been submitted to D-Wave’s quantum systems to date, addressing use cases spanning optimization, artificial intelligence, research, and more.

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