Are Agents the Secret to Quantum R&D Success?
Large quantum R&D teams spend months on use-case identification, application design, hardware queuing, and iteration overhead, all before a single circuit ever runs. Agentic AI systems are beginning to address these bottlenecks in ways that weren't possible a year ago. During this Quantum Insider live event, hosted by Haiqu, leaders from KPMG, Capgemini, University of Sheffield and Haiqu shared honest takes on what's working, what's hype, and what the field still needs to figure out.
Key takeaways
What experts really think agentic AI can and can't do yet in quantum R&D?
What does "agentic" actually mean inside a quantum workflow?
Where are AI agents being used in research pipelines today, and where do the claims outpace the evidence?
How is the role of the quantum researcher starting to shift, and what will define the unique value of R&D teams in the months ahead?
About the webinar
A candid, cross-industry look at where agentic AI actually helps quantum R&D.
Large quantum R&D teams spend months on use-case identification, application design, hardware queuing, and iteration overhead, all before a single circuit runs.
Agentic AI systems are beginning to address these bottlenecks in ways that weren't possible a year ago.
Leaders from KPMG, Capgemini, University of Sheffield, and Haiqu shared honest takes on what's working, what's hype, and what still needs to be figured out.
A Quantum Insider live event, hosted by Haiqu, bringing enterprise, academic, and vendor perspectives together.
Who should watch
For teams deciding how much to invest in agentic tooling right now.
Deciding where agentic AI fits into their team's roadmap.
Evaluating whether agentic tooling actually speeds up day-to-day workflow.
Separating genuine capability from hype before committing budget.
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