10 citations · 18 across the 4 of their papers we have counts for
5 papers
Large Language Models Develop Belief State Geometry In-Context
Daniel Balcells, Andrew Jun Lee, Chirag Rastogi +3
Large language models (LLMs) trained on next-token prediction exhibit remarkable in-context learning (ICL) abilities, yet the representations that support ICL remain poorly underst…
Integrable models from singly generated planar algebras
Xavier Poncini, Jorgen Rasmussen
Not all planar algebras can encode the algebraic structure of a Yang--Baxter integrable model described in terms of a so-called homogeneous transfer operator. In the family of subf…
Integrability of planar-algebraic models
Xavier Poncini, Jorgen Rasmussen
The Quantum Inverse Scattering Method is a scheme for solving integrable models in dimensions, building on an -matrix that satisfies the Yang--Baxter equation and in terms…
Critical behaviour of loop models on causal triangulations
Bergfinnur Durhuus, Xavier Poncini, Jorgen Rasmussen +1
We introduce a dense and a dilute loop model on causal dynamical triangulations. Both models are characterised by a geometric coupling constant and a loop parameter in such…
Approximations in transmon simulation
Tyler Jones, Kaiah Steven, Xavier Poncini +2
Classical simulations of time-dependent quantum systems are widely used in quantum control research. In particular, these simulations are commonly used to host iterative optimal co…