- The extended product roadmap is part of the company’s efforts to strengthen the connection between quantum optimization, AI and Machine Learning (“ML”), in order to bring new Quantum Artificial Intelligence (“AI”) solutions to market
- D-Wave’s annealing quantum computing solutions could play a key role in improving AI/ML with more efficient model training, reduced energy consumption, and faster time-to-solution
- The company’s Quantum AI solutions could be transformative, bringing a powerful new set of new computing tools for generative AI
D-Wave Quantum (NYSE: QBTS), a leader in quantum computing systems, software, and services, and the first commercial provider of quantum computers, was featured in a NetworkNewsAudio syndicated broadcast highlighting the company’s extended quantum AI product roadmap and enhancements to its Leap(TM) quantum cloud service. The audio broadcast can be heard at: https://ibn.fm/IcPYR.
D-Wave announced the extended roadmap as part of its efforts to strengthen the connection between quantum optimization, AI, ML, in order to bring new Quantum AI solutions to market.
The development initiative comes in response to growing demand from customers and has the potential to solve one of the broader AI industry’s biggest problems: the rapidly escalating compute requirements and the associated energy costs needed to satisfy a growing set of use cases.
“We’re seeing early evidence that annealing quantum computing could play a key role in helping AI/ML with more efficient model training, reduced energy consumption and faster time-to-solution,” said Dr. Alan Baratz, CEO of D-Wave (https://ibn.fm/kvOZG). “With results demonstrating our annealing quantum computer’s ability to outperform classical techniques, coupled with rapidly increasing demand from our customers for Quantum AI solutions that integrate with their business optimization requirements, we believe the impact of D-Wave’s Quantum AI solutions could be transformative, bringing a powerful new set of new computing tools for generative AI.”
The roadmap is designed to help customers address various AI/ML workloads including pre-training optimization, more accurate and efficient model training, and opening new AI business use cases that require the integration of AI and business optimization. Customer use cases related to D-Wave’s Quantum AI solutions include:
- Improved biological data analysis: Researchers in Germany used D-Wave’s quantum technology to develop a machine learning tool that predicts protein-DNA binding with greater accuracy than traditional methods.
- Faster processing power: TRIUMF, Canada’s particle accelerator center, is showing significant speed-ups of D-Wave’s quantum processing unit (“QPU”) over classical approaches for simulating high-energy particle-calorimeter interactions – potentially leading to major efficiencies where the AI model is used to create synthetic data.
- More accurate samples for training Restricted Boltzmann Machine (“RBM”) architectures: Honda Innovation Lab and Tohoku University developed a method to fine-tune D-Wave’s quantum computers to generate highly accurate samples for training RBMs. This approach yielded better results than traditional algorithms and significant improvements in model performance.
For more information, visit the company’s website at www.DWaveQuantum.com.
NOTE TO INVESTORS: The latest news and updates relating to QBTS are available in the company’s newsroom at https://ibn.fm/QBTS
Forward Looking Statements
Certain statements in this press release are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. These statements involve risks, uncertainties, and other factors that may cause actual results to differ materially from the information expressed or implied by these forward-looking statements and may not be indicative of future results. These forward-looking statements are subject to a number of risks and uncertainties, including, among others, various factors beyond management’s control, including the risks set forth under the heading “Risk Factors” discussed under the caption “Item 1A. Risk Factors” in Part I of the company’s most recent Annual Report on Form 10-K or any updates discussed under the caption “Item 1A. Risk Factors” in Part II of the company’s Quarterly Reports on Form 10-Q and in the company’s other filings with the SEC. Undue reliance should not be placed on the forward-looking statements in this press release in making an investment decision, which are based on information available to the company on the date hereof. The company undertakes no duty to update this information unless required by law.
