Hybrid Quantum Computing for AI
summary
Quandela builds photonic QPUs with integrated single-photon sources and photonic chips, has a rack system online since 2022 and a 120-person team across Paris, Munich, Barcelona and Soul, and fields Peral (low‑level photonic SDK) plus the Merlin QML framework that integrates with PyTorch and PennyLane and runs high‑performance GPU simulators. A BMW AI Challenge 2024 QML win shows a 1% accuracy improvement by adding tiny quantum layers; remaining hurdles are adaptive chips reconfigurable at light speed and rigorous open, bench‑marked comparisons.
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chapters (7)
- 0:00Introduction
- 2:05Candela’s photonic quantum computer
- 7:23Quantum roadmap and utility era
- 10:37Quantum primitives in AI
- 13:25AI primitives and quantum impact
- 15:54Merlin quantum ML framework
- 19:04Future of quantum AI workflows
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