Coordinated with the at the Department of Physics and Astronomy of the University of Glasgow. (They may have donuts but we have free chocolate covered biscuits and coffee!)
Colloquia Schedule 2026-2027
* Note: Outside of regular schedule.
Coordinated with the at the Department of Physics and Astronomy of the University of Glasgow. (They may have donuts but we have free chocolate covered biscuits and coffee!)
* Note: Outside of regular schedule.
Ivan Deutsch (University of New Mexico) 9th September 2026, 3PM, JA506
The race to build a fault tolerant quantum computer is in fully swing. But in which physical system should we encode quantum information? In classical computers the winner was clear – transistors in silicon in the integrated circuit architecture. For quantum computers the story is still being written. Research and development proceeds along multiple directions. Superconductivity circuits and atomic ion traps have long been the leading contenders. Recently, a dark horse candidate has emerged as a powerful competitor – neutral atoms trapped in laser light. Like their charged-ion cousins, neutral atoms are Nature’s qubits – they are identical, well-controlled by electromagnetic fields, and can be prepared in nearly pure quantum states with the tools developed for laser cooling and coherent spectroscopy. They are the foundation of the world’s most quantum coherent device – the atomic clock. In this colloquium I will describe the physics of quantum computing with optically-trapped neutral atoms and the cutting edge this up-and-coming architecture.
Raoul Trines (Central Laser Facility) 7th October 2026, Rm TBA
Michael Fox (Head of Physics Teaching Labs, Imperial College, London) - 4th November 2026, 3PM, Rm TBA
TBA
Slav Ivanov (University of 黑料正能量) - 2nd December 2026, 3pm, JA314
The groundbreaking transformer neural network architecture in artificial intelligence behind the “T” in ChatGPT, and its subsequent widespread adoption across a range of large language models (LLMs) is having a significant impact on science, industry and society. The role of LLMs in applying the scientific method, from hypothesis generation through to carrying out experiments and data analysis, can lead to discovery. Their ability to process large amounts of text and data, propose novel ideas, and undertake data-analysis makes them powerful tools for scientific creativity and enhancing productivity. This can be achieved by equipping large state-of-the-art models capable of chain-of-thought-reasoning, or locally-hosted smaller models, with task-specific tools and granting them access to large corpora of scientific literature. The domain-agnostic nature of this approach, known as agentic workflow, enables straightforward adoption across different disciplines and problem settings. Here we present an application of an LLM agent in the design of transient plasma-photonic structures, which are ultra-compact plasma-based plasma optical elements that will enable development next-generation high-power lasers, where the agent autonomously drives a modified Bayesian optimisation loop, interprets the numerical simulation data, and cites information from relevant research articles with the goal of proposing new experimental configurations.