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Quantum Computing with Atoms -Presented by Christopher Monroe, Duke University and IonQ Inc.

Chris Monroe
January 29, 2021
3:30PM - 4:30PM
Zoom webinar

Date Range
Add to Calendar 2021-01-29 15:30:00 2021-01-29 16:30:00 Quantum Computing with Atoms -Presented by Christopher Monroe, Duke University and IonQ Inc.   The Institute for Materials Research and the Institute for Optical Science present Frontiers in Quantum Information Science and Engineering A New Webinar Series from The Ohio State University   Quantum Computing with Atoms Trapped atomic ions are the unique quantum computing physical platform that features qubits with essentially infinite idle coherence times. Such atomic clock qubits are controlled with laser beams, allowing densely-connected and reconfigurable universal gate sets. Unlike all other physical platforms for quantum computing, the path to scale involves concrete architectural paths, from shuttling ions between QPU cores to modular photonic interconnects between multiple QPUs. Full-stack ion trap quantum computers have thus moved away from the physics of qubits and gates and toward the engineering of optical control signals, quantum gate compilation for algorithms, and high level system design considerations. I will summarize the state-of-the-art in these quantum computers and speculate on how they might be used.   Zoom webinar Department of Physics physics@osu.edu America/New_York public

 

The Institute for Materials Research and the Institute for Optical Science present

Frontiers in Quantum Information Science and Engineering

A New Webinar Series from The Ohio State University

 

Quantum Computing with Atoms

Trapped atomic ions are the unique quantum computing physical platform that features qubits with essentially infinite idle coherence times. Such atomic clock qubits are controlled with laser beams, allowing densely-connected and reconfigurable universal gate sets. Unlike all other physical platforms for quantum computing, the path to scale involves concrete architectural paths, from shuttling ions between QPU cores to modular photonic interconnects between multiple QPUs. Full-stack ion trap quantum computers have thus moved away from the physics of qubits and gates and toward the engineering of optical control signals, quantum gate compilation for algorithms, and high level system design considerations. I will summarize the state-of-the-art in these quantum computers and speculate on how they might be used.