Physics

Abstract: The existence of an event horizon is the defining property of a black hole. I shall review the properties of event horizons and discuss various examples demonstrating that event horizons are not smooth in dynamical processes such as black...

Abstract: Historically tensor networks have been helpful models of AdS/CFT, but there have always been some aspects that they fail to capture, particularly those involving the time direction. In this talk I will take the perspective that we can...

Abstract: We discuss shockwave geometries and the connections to aspects of flat space holography. We first show how the ’t Hooft commutation relations of shockwave operators are equivalent to the commutation relation between soft and Goldstone...

Abstract: Scattering amplitudes for the simplest theory of colored scalars— Tr $\phi^3$ theory — have been understood as arising from a counting problem associated with curves on a surface (arXiv:2309.15913v1). This formulation produces “stringy”...

Abstract: I discuss physical motivations from black hole physics and holography for expecting finite quantum entanglement entropy in quantum gravity. I describe recent and earlier results in defining such a notion in perturbative string theory by a...

Abstract: Gravitational wave and electromagnetic observations of strongly gravitating systems allow us not only to probe black holes and neutron stars, but also have the potential to uncover new fundamental physics. Superradiant bosonic clouds and...

Abstract: In this talk, I will introduce a new framework of quantum convolution to study stabilizer states and magic states in discrete-variable systems. Within this convolutional framework, we find that the stabilizer states play a similar role to...

Abstract: The moduli space of curves, M_g, is an object of pivotal interest in mathematics and theoretical physics. Even though it has been studied with tremendous effort, little is known about its topology. For instance, the total dimension of the...

Abstract: Both physics and neuroscience seek to understand how the edges and nodes of a network dictate its function. But until recently, it was not possible to quantitatively explore the relation between the structure and function of a biological...