2026-09-19T06:53:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1502992023-04-01T03:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Oliver, William D.
Greene, Amy
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2023-03-31T14:46:02Z
2023-03-31T14:46:02Z
2023-02
2023-02-28T14:39:18.847Z
https://hdl.handle.net/1721.1/150299
Over the past two decades, impressive strides have been made in the field of quantum computing. Quantum advantage has been reported, and there is now an ecosystem of cloud-based quantum processors and companies interested in using them. However, high error rates continue to limit circuit depth, such that solving real-world problems with today’s quantum computers remains a challenge. For quantum computing with superconducting qubits, two-qubit gates are a major source of those errors.
In this thesis, we calibrate high-fidelity CZ and CPhase gates for flux-tunable transmon qubits. We develop a new technique for mitigating coherent errors in twoqubit gates called quantum measurement emulation (QME). We use this technique to implement a novel operation called density matrix exponentiation (DME), which has applications in quantum machine learning and universal simulation. These protocols contribute to the understanding and mitigation of errors in two-qubit gates. They are a step towards fault-tolerant universal quantum computing with superconducting circuits.
Ph.D.
Massachusetts Institute of Technology
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http://rightsstatements.org/page/InC-EDU/1.0/
Calibration and Utilization of High-Fidelity Two-Qubit Operations
Thesis
application/pdf
Doctoral
Doctor of Philosophy
Publication
unknown
unknown
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<Abstract>Over the past two decades, impressive strides have been made in the field of quantum computing. Quantum advantage has been reported, and there is now an ecosystem of cloud-based quantum processors and companies interested in using them. However, high error rates continue to limit circuit depth, such that solving real-world problems with today’s quantum computers remains a challenge. For quantum computing with superconducting qubits, two-qubit gates are a major source of those errors.
In this thesis, we calibrate high-fidelity CZ and CPhase gates for flux-tunable transmon qubits. We develop a new technique for mitigating coherent errors in twoqubit gates called quantum measurement emulation (QME). We use this technique to implement a novel operation called density matrix exponentiation (DME), which has applications in quantum machine learning and universal simulation. These protocols contribute to the understanding and mitigation of errors in two-qubit gates. They are a step towards fault-tolerant universal quantum computing with superconducting circuits.</Abstract>
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