STI Publications - View Publication Form #18267
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Publication Information
Title | Superconducting Microwave Cavities and Qubits for Quantum Information Systems | ||||
Abstract | Superconducting microwave cavities with ultra-high Q-factors are revolutionizing the field of quantum computing, offering long coherence times exceeding 1 ms, which is critical for realizing scalable multi-qubit quantum systems with low error rates. In this work, we provide an in-depth analysis of recent advances in ultra-high Q-factor cavities, integration of Josephson junction-based qubits, and bosonic-encoded qubits in 3D cavities. We carefully examine the sources of quantum state dephasing caused by damping and noise mechanisms in cavities and qubits, highlighting the critical challenges that need to be addressed to achieve even higher coherence times. We critically survey the latest progress made in implementing single 3D qubits using superconducting materials, normal metals, and multi-qubit and multi-state quantum systems. Our work sheds light on the promising future of this research area, including novel materials for cavities and qubits, modes with nontrivial to | ||||
Author(s) | Alex Krasnok, Pashupati Dhakal, Arkady Fedorov, Pedro Frigola, Michael Kelly, Sergey Kutsaev | ||||
Publication Date | January 2024 | ||||
Category | SRF Technology | ||||
Document Type | Journal Article | ||||
Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
Affiliation | Accelerator Ops, R&D / Inst for SRF Sci & Tech / SRF Science & Technology | ||||
Funding Source | Nuclear Physics (NP) | ||||
Proprietary? | No | ||||
This publication conveys | Literature Review and Summary | ||||
Document Numbers |
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Associated with an experiment | No | ||||
Associated with EIC | No | ||||
Supported by Jefferson Lab LDRD Funding | No |
Journal Article
Journal Name | Complied for Applied Physics Reviews |
Refereed | No |
Volume | 11 |
Issue | |
Page(s) | 011302 |
Attachments/Datasets/DOI Link
Document(s) |
2304.09345.pdf
(STI Document)
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DOI Link | |
Dataset(s) | (none) |
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