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Massachusetts Institute of Technology

Engineering Noise-Protected Superconducting Qubits

Abstract

dc:description.abstract

Improving the lifetime of qubits is crucial to achieve reliable quantum computation with superconducting qubits. One way to improve the qubit lifetime is to engineer the circuit design and the parameters to protect the qubit from environmental noise. Some of the noise-protected superconducting qubits have the potential to overcome the coherence limitations of transmons, which is often dominated by energy relaxation. Here we study the zero-pi qubit, the superconducting circuit-based qubit that can provide simultaneous protection against dephasing and relaxation. Although the noise-protection property of the zero-pi qubit is appealing, it has stricter design parameter constraints than other superconducting qubits and the coherent control of the qubit is challenging. In this thesis, we propose several methods to enable fast, robust control in the zero-pi qubit. Additionally, we introduce some preliminary measurement results of the zero-pi qubit and discuss how to mitigate the challenges we faced during the measurement.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • An, Junyoung
Advisor dc:contributor.advisor
  • William D. Oliver

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/150097
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/150097

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

An, Junyoung. Engineering Noise-Protected Superconducting Qubits. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/150097