# ★ Computational Discovery of Interferometric Gravitational Wave Detectors ★

- Institution: CERN
- Speaker: Jonathan Klimesch
- Year: 2026
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3025627)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Current and next-generation gravitational wave detectors are designed by human experts who must balance coupled physical effects across many domains. The vast space of all possible experiment designs suggests that many high-sensitivity, unconventional detectors may lie beyond the reach of human intuition alone. AI-based methods are increasingly capable of discovering powerful measurement schemes from first principles, offering a complementary design paradigm with biases distinct from those of human experts. We therefore frame the discovery of novel gravitational wave measurement techniques as a search for optima over a vast space of hardware configurations subject to practical constraints. We discuss how to engineer an expressive search space with the potential to discover novel detector topologies and present Differometor, a differentiable interferometer simulator built for high-performance optimization. We then formulate gravitational wave detector design as a challenging algorithmic benchmark and argue that new interpretability and analysis tools will be essential for understanding and exploiting unconventional AI-discovered detector blueprints.

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## Lectures

1. [★ Computational Discovery of Interferometric Gravitational Wave Detectors ★](https://invisiblenetwork.ai/learn/cern/3025627/4b14949e1548), 22 min (CERN's player)