Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Neural networks find efficient ways to compute the Hilbert series, an important counting function in algebraic geometry and gauge theory.
Groethendieck's “children’s drawings”, a type of bipartite graph, link number theory, geometry, and the physics of conformal field theory.
An explicit recipe for defining the Hamiltonian in general probabilistic theories, which have the potential to generalise quantum theory.
One-shot analogs of fluctuation-theorem results help unify these two approaches for small-scale, nonequilibrium statistical physics.
We generalise neural networks into a quantum framework, demonstrating the possibility of quantum auto-encoders and teleportation.
Spectroscopy experiments show that energy shifts due to photon emission from individual molecules satisfy a fundamental quantum relation.
A new equality which depends on the maximum entropy describes the worst-case amount of work done by finite-dimensional quantum systems.
In quantum tunnelling, a particle tunnels through a barrier that it classically could not surmount.
In an infinitely bouncing Universe, the scalar field driving the cosmological expansion and contraction carries information between phases.
With inspiration from Maxwell’s classic thought experiment, it is possible to extract macroscopic work from microscopic measurements of photons.
Single-shot information theory inspires a new formulation of statistical mechanics which measures the optimal guaranteed work of a system.
A review of the achievements concerning typical bipartite entanglement for random quantum states involving a large number of particles.