Quantum Computing and Simulation with Trapped Ions

Explore the cutting-edge field of quantum computing and simulation using trapped ions in this 46-minute lecture by Chris Monroe from the University of Maryland. Delve into the challenges of quantum computation, starting with an overview of quantum computing technology candidates. Learn about individual atoms as nature's qubits and the process of entangling trapped ion qubits. Discover the workings of a programmable and reconfigurable quantum computer module, and examine practical applications through the Bernstein-Vazirani and Hidden Shift algorithms. Investigate global operations and dynamics, including a fascinating look at dynamical phase transitions with over 50 qubits. Gain insights into scaling up quantum systems, focusing on the importance of improved vacuum environments and modularity in building complexity. This talk, part of the "Challenges in Quantum Computation" series at the Simons Institute, offers a comprehensive exploration of trapped ion quantum computing and its potential for future advancements in the field.

Intro
Quantum Computing Technology Candidates
Individual Atoms: Nature's Qubit
Entangling Trapped lon Qubits
Programmable/Reconfigurable Quantum Computer Module
Bernstein-Vazirani algorithm
Hidden Shift algorithm
Global Operations: Dynamics
Dynamical Phase Transition with 50+ Qubits
Scaling Up: 4K environment (better vacuum!)
Building complexity requires MODULARITY
Scaling lon Traps II