Duane Physics Room G126

Abstract:  The average quantum physicist on the street would say that a quantum-mechanical

Abstract: Quantum neural networks have been widely studied in recent years due to their potential practical utility and recent results showing their ability to efficiently express cert

Abstract: Wave interactions are responsible for the various aspects of the behavior of different systems in nature, including processes in the oceans and atmosphere, star hydrodynamics, and even the evolution of the Universe. Spin waves (and their quanta–magnons) in magnetically ordered materials are highly nonlinear compared to, for example, phonons or photons in solids.

Conventional quantum algorithms use certain resources that are assumed to be given at almost no cost but are hard to pro

Abstract: Circuit quantization is an extraordinarily successful theory that describes the behavior of quantum circuits with high precision.

Abstract: Quantum materials promise new states of matter and platforms for next-generation electronics, but in many cases no tractable theoretical models exist for their behavior. Compounding this difficulty is the fact that their key properties—quantum entanglement—have been historically very difficult to probe. In this talk I discuss recent work to use neutron spectroscopy to probe many-body entanglement between electron spins in real solid state materials.

The modern perspective on the classification of phases of matter is given in terms of circuit complexity: two many-body quantum states belong to the same phase of matter if and only if they can be related by a finite-depth quant