D-Wave Quantum Inc. (NYSE: QBTS), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, recently announced that it will launch a new podcast series, “Quantum Matters,” on April 7, 2026. The podcast aims to reinforce D-Wave’s unique position as the world’s first commercial quantum computing company by featuring conversations with industry leaders, researchers, academics and scientists on how quantum computing is applied across business and science today, and where the technology is headed.
Hosted by Murray Thom, D-Wave vice president of quantum technology evangelism, the podcast will examine how organizations are currently using quantum computing to solve computationally complex problems in areas such as manufacturing, supply chain, aerospace, life sciences and artificial intelligence. “D-Wave’s quantum computing technology has moved beyond theory and into real-world deployment,” said Murray Thom. “With this podcast, we’re convening and elevating the voices of the first-movers who are boldly exploring and deploying this groundbreaking technology to achieve operational excellence, drive business impact and fuel scientific breakthroughs.”
The announcement underscores the growing importance of quantum computing in commercial and scientific fields. As more companies seek to leverage quantum systems for practical applications, the podcast will serve as a platform to share insights and case studies from early adopters. Listeners can expect to learn about the tangible benefits and challenges of implementing quantum computing solutions, as well as future trends in the industry.
D-Wave’s mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government and research sectors trust D-Wave to address complex computational challenges using quantum computing. The company’s unique position as a provider of both annealing and gate-model technologies allows it to address a wide range of optimization and machine learning problems.
For more information on the podcast, follow “Quantum Matters” here. The full press release is available here.
