Skip to content

Author

Tobias J. Osborne

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#large language models Open access Sep 2026

How to train your slop cannon: A short guide to using large language models for research in the natural sciences

Large Language Models are transforming mathematics and the physical sciences, allowing scientists to explore ideas quickly and raise their sights to grand challenges. But they also produce plausible but wrong text at industrial scale. Staying afloat in this torrent of slop requires scrutinising everything the model pro...

Danielle Loader, Jonathan Oppenheim, Tobias J. Osborne · 0 citations
#generative ai Open access Sep 2026

Stochastic neural networks for quantum devices

Abstract This work presents a formulation to express and optimize stochastic neural networks as quantum circuits in gate-based quantum computing. Motivated by a classical perceptron, stochastic artificial neurons are introduced and combined into a quantum neural network. The Kiefer-Wolfowitz algorithm in combination wi...

Bodo Rosenhahn, Tobias J. Osborne, Christoph Hirche · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.