Quantum Computing with Superconducting Qubits
Thesis Advisor: Dr. David Kagan, Physics Department
Committee Members:
Dr. Ashok Patel, Computer & Information Science/Data Science
Dr. Donghui Yan, Mathematics Department/Data Science
Abstract: This talk provides an overview of quantum computing, with a focus on superconducting qubits and quantum error correction. We begin with the motivation for quantum computing and its core principles — superposition and entanglement — before discussing the superconducting hardware used at organisations such as Google and IBM. Central to this hardware is the Josephson junction, which enables the creation of an anharmonic quantum system that can be controlled as a qubit. We cover the transmon qubit design and explain the quantum harmonic oscillator model and its role in superconducting qubit design. The talk then addresses quantum error correction and the surface code — a leading approach to achieving fault-tolerant quantum computing that requires only nearest-neighbour interactions and has a noise threshold within reach of current hardware. We present simulations of a distance-3 surface code coded and run by the author using IBM’s Qiskit AerSimulator.
For further information please contact Dr. David Kagan at david.kagan@umassd.edu.
Data Science Graduate students are encouraged to attend.
Dion 311 and Zoom
Dr. David Kagan
david.kagan@umassd.edu
https://umassd.zoom.us/j/95264832274?pwd=dHFwVFZCVTNWWUlEck5HdVFNUDVJdz09