Webinar: Towards Quantum Utility in HPC & AI with MerLin

Explore quantum utility in HPC and AI with MerLin and discover what measurable hybrid acceleration really looks like.

Hybrid architectures are becoming the default path to performance gains. The remaining question is practical: How can quantum become an operational resource within existing AI and HPC stacks with measurable metrics for “utility,” not hype

This session will be led by Jean Senellart, Chief Product Officer at Quandela, who drives Quandela’s computing roadmap and the MerLin framework bridging photonic quantum hardware with practical HPC and AI integration.

What we will cover:

✅ Why photonics now: how photonic quantum processors are emerging as a near-term route toward practical quantum machine learning workloads

✅ HPC integration update: what it takes to integrate Quandela QPUs into HPC facilities (deployment models, access patterns, operational considerations)

✅ Defining quantum utility: a clear and measurable framework (KPIs, baselines, and decision criteria)

✅ MerLin overview: where it sits in the stack and what it enables for hybrid AI–HPC–quantum workflows

✅ Benchmarked results: measured performance outcomes obtained with MerLin

✅ Live demo: an end-to-end MerLin run (job submission, orchestration flow, and output interpretation)

This session is designed for researchers, HPC leaders, scientists, infrastructure architects, students, and innovation decision-makers interested in moving from experimentation to measurable impact.

Join us for an in-depth discussion on how hybrid quantum systems are moving from experimentation to measurable impact.