Penn State hosts workshop on quantum universe

From November 17 to 20, 2026, Penn State University will host the Open Quantum Universe Workshop, an event designed to bridge cosmology with condensed-matter physics and quantum information science. The Gravity Theory Trust is supporting the workshop, which aims to address foundational questions in cosmology by uniting leading researchers from disparate fields. Organizers intend to encourage cross-disciplinary connections, building on Penn State’s existing strengths in condensed-matter theory.

Cosmology as Quantum System: Workshop Focus

The Open Quantum Universe Workshop at The Pennsylvania State University, supported by the Gravity Theory Trust, will be a focused event that aims to coordinate and stimulate significant recent interest in the understanding of cosmology as an open, out-of-equilibrium, quantum system. Organizers specifically aim to address foundational questions in cosmology, acknowledging that current cosmological frameworks struggle to fully account for observer-dependent horizons and dynamic expansion.

Penn State’s existing condensed-matter theory initiatives are being used to facilitate these cross-disciplinary connections, providing a foundation for collaborative research. This approach moves beyond simply discussing interdisciplinary work, and instead builds upon established strengths within the university’s research programs. “The goal of this workshop is to gather leading contributors to these topics from the cosmological side,” said Marcus Mohring, “and to foster cross-disciplinary connections.” This approach acknowledges properties inherent in the universe’s expansion and the role of observation, properties not easily integrated into existing models.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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