Abstract: Two necessary ingredients of any quantum description of a black hole are strong coupling and a large number of degrees of freedom. Solving such quantum systems is therefore challenging, both analytically and numerically. We will discuss an alternative “matrix bootstrap” method that overcomes some of these challenges. After…

Nanoscale electrodynamics offers a unique perspective for unraveling the complex physics underlying these phenomena. This talk is focused on our studies on the intricate relationships among topology, geometry, and electron correlations in systems with flat bands. I will first discuss the exploration of a 3D quasi-crystalline system,…

Characterization and quantum control of complex quantum matter is one of the shared goals for condensed matter and quantum information science research. Toward this end, my research uses van der Waals materials to synthesize topological and correlated states, and quantum sensors based on spin defects to uncover their microscopic picture…

Understanding strongly correlated topological quantum phases has been a longstanding challenge. Moiré materials present a unique opportunity as they allow us to engineer flat topological bands and vary the carrier density throughout entire bands in situ using electrostatic gates. I will open the talk by presenting nanoscale images of…

Abstract:

Gravitational-wave astrophysics is now a reality. Since their first detection in 2015, gravitational waves from about 90 black hole and neutron star collisions have been observed, with hundreds more anticipated in the ongoing LIGO-Virgo-KAGRA observing run extending through 2024. Accordingly, gravitational…

The growing catalog of gravitational-wave signals from compact-object mergers has allowed us to study the properties of black hole and neutron star binaries with increasing precision. However, the processes governing the formation and evolution of these systems and their electromagnetic counterparts remain largely unconstrained. The current…

Understanding the macroscopic statistical properties of a physical system can provide vital clues to its microscopic characteristics. I will show that Einstein gravity at long distances contains statistical information about quantum spacetime. For example, certain wormhole spacetimes encode statistics of quantum black hole…

Topological defects in thermodynamic phases are characterized by winding

numbers of order parameters. Similarly, topological phases in the tenfold

classification of insulators and superconductors are characterized by Chern and

winding numbers. We show that both situations can be described by a single

formalism, using…

The non-Hermitian skin effect (NHSE) is a phenomenon that occurs in non-Hermitian lattice systems, in which eigenstates are massively squeezed to the boundary. In our recent works, we propose a universal solution to the NHSE under open boundary condition in any spatial dimensions (arXiv: 2212.11743), borrowing the concept of amoeba from…

The discovery of the neutrino stands as pivotal milestone in the annals of modern physics. Following the initial detection of neutrinos, a diverse array of experiments employing both natural and artificial sources of neutrinos have played a crucial role in shedding light on the elusive nature of these particles, including their intriguing…

Condensed matter physicists understand the universe by tracking collective motions of elementary particles, or quasiparticles, many of which parallel elementary particles in the Standard Model. However, the principle of fractionalization uncovers quasiparticles with no Standard Model counterpart. A seminal example is the fractional quantum Hall…

**Abstract**: Organic semiconductors are appealing for optoelectronic devices like solar cells and lighting and displays due to their low fabrication cost and energy input, tunable band gaps, and mechanical characteristics like their light weight and flexibility. However, these materials made of light atoms have low dielectric…

Abstract: In this talk, I will discuss our work on using models inspired by natural language processing in the realm of many-body physics. Specifically, I will demonstrate their utility in reconstructing quantum states and simulating the real-time dynamics of open quantum systems. Finally, I will show the efficacy of using these models for…

Abstract: In recent years, the fields of natural language processing and computer vision have been revolutionized by the success of large models pretrained with task-agnostic objectives on massive, diverse datasets. This has, in part, been driven by the use of self-supervised pretraining methods which allow models to utilize far more training…

The search for low-dimensional topological superconductivity is fueled by the promise of new and exotic physics, such as chiral superconductivity and non-Abelian anyons. However, the need to break time-reversal symmetry, usually by applying a relatively large external magnetic field, has hindered the realization of these novel phases of matter…

A long standing problem in lattice QCD is to construct an explicit instanton density operator on the lattice. We introduce such a construction, after suitably refining the lattice Yang-Mills action, so that it captures the continuum Yang-Mills theory better than the traditional lattice Yang-Mills action does. This refinement needed follows…

In this talk, I present different machine learning and data driven techniques that produce measurements of stellar kinematics around the Milky Way, and relate them to our understanding of Dark Matter. More specifically, I will discuss a data driven technique applied to Gaia DR3 combined with Apogee data to produce the circular velocity…

Abstract: Black holes have not just become laboratories for astronomers, but also present some of the deepest unsolved problems in theoretical physics. During the past decade scientists learned that concepts from quantum information play a key role in understanding fundamental problems in gravity. In this talk I will explain some recent…

Abstract: Living systems sense their physical environment and process this information to interact back with the environment. This continual loop that iterates between sensing, computation and action drives the emergence of complex behaviors. Physics plays a key role in this sensorimotor loop by imposing constraints on all of its basic elements…

Experimental condensed matter research is undergoing a revolution. Before, the need for 3D crystalline samples with a given structure and doping set stringent requirements for realization of the desired properties. Now, it is possible to create tunable 2D samples in the lab, overcoming the previous limitations and speeding up the research. Here…

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