Semester Calendar Date

Foundations of Quantum Computing

The University of Maryland Science Academy is offering a summer course on the Foundations of Quantum Computing. This three-week bootcamp will take place from June 7-25, 2021, and sessions will be held online from 4:00-7:00pm EDT on Mondays, Wednesdays, and Fridays.
For more information please visit https://scienceacademy.umd.edu/quantumcomputing/bootcamp.

Bose Einstein Condensates for Analogue Cosmology Experiments

Dissertation Committee Chair: James Williams, Chair
 
Committee: 
Gretchen Campbell, Co-Chair/Advisor
Ian Spielman
Theodore Jacobson
Ronald Walsworth, Dean's Representative
 
Abstract:
This thesis presents the construction and characterization of an experimental apparatus to produce sodium Bose-Einstein condensates (BECs) in  arbitrary potentials.
Particular attention is devoted to the study of toroidal BECs as platforms for analogue cosmology models.

Twisted: Physics of 2D Twisted Moiré Systems

The third conference in the Janet Das Sarma Conference Series, featuring the following talks:
10 AM: Pablo Jarillo-Herrero, “Moiré Magic 3.0”
11 AM: Ashvin Vishwanath, “Moire' magic near charge neutrality:  From sign-free numerics to fractional vortices”
12 PM: Andrea Young, “Easy as ABC”
1 PM: Michael Zaletel, “DMRG evidence for skyrmion-mediated superconductivity”
2 PM: Oskar Vafek, “Correlations and topology in the magic angle twisted bilayer graphene”
3 PM: Cory Dean, “TBA”
4 PM: Kin Fai Mak, “Semiconductor moiré 2.0"

Locality, Symmetry, and Digital Simulation of Quantum Systems

Besides potentially delivering a huge leap in computational power, quantum computers also offer an essential platform for simulating properties of quantum systems.  Consequently, various algorithms have been developed for approximating the dynamics of a target system on quantum computers. But generic quantum simulation algorithms---developed to simulate all Hamiltonians---are unlikely to result in optimal simulations of most physically relevant systems; optimal quantum algorithms need to exploit unique properties of target systems.

The complexity of simulating quantum physics: dynamics and equilibrium

Quantum computing is the offspring of quantum mechanics and computer science, two great scientific fields founded in the 20th century. Quantum computing is a relatively young field and is recognized as having the potential to revolutionize science and technology in the coming century. The primary question in this field is essentially to ask which problems are feasible with potential quantum computers and which are not. In this dissertation, we study this question with a physical bent of mind.