Sam M. Walton College & D-Wave study quantum supply chains

D-Wave Quantum Inc. (NASDAQ: QBTS) is partnering with the Supply Chain Management Research Center at the Sam M. Walton College of Business at the University of Arkansas to launch the Quantum Supply Chain Initiative on October 5, 2026. The collaboration will focus on applying quantum computing to challenges in retail, transportation and national defense, building on an existing network of more than 25 industry partners already engaged with the SCMRC.

“Supply chains are highly dynamic, with decision-making that can have a far-reaching impact on efficiency and costs,” said Murray Thom, vice president of quantum technology evangelism at D-Wave, noting that quantum computing technologies are emerging as potentially powerful alternatives to existing methods.

D-Wave and University of Arkansas Launch Quantum Supply Chain Initiative

Quantum Inc. The collaboration aims to explore quantum optimization for complex logistical problems, including transportation routing and network design, as well as inventory and resource allocation under disruptive conditions.

This work builds on the recognition that supply chain decision-making requires balancing cost, speed, service and resilience, particularly as networks grow more complex and disruptions become more impactful. Beyond research, the initiative will also focus on educational opportunities, including curriculum and case development for students, and engagement with industry and government stakeholders.

The University of Arkansas’s Walton College of Business intends to share practical frameworks and insights derived from the collaboration, positioning itself as a hub for quantum-ready supply chain professionals. “Quantum computing is showing great potential to help organizations accelerate decision-making, mitigate disruption and drive better operational outcomes,” said Brian Fugate, Associate Dean for Research and Graduate Programs with Walton College.

“We’re excited to partner with one of the quantum computing industry’s foremost leaders to bring quantum into our research portfolio and ultimately benefit students and partners alike.” The announcement occurred during CSCMP EDGE 2026, a leading conference hosted by the Council of Supply Chain Management Professionals, highlighting the timing and forward-looking nature of this research endeavor.

Supply chains are highly dynamic, with decision-making that can have a far-reaching impact on efficiency and costs.

Murray Thom, vice president of quantum technology evangelism at D-Wave
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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