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Trapped Ion Quantum Computing
Superconducting Qubits
Efficient modeling of superconducting quantum circuits with tensor networks
arXiv
Authors: Agustin Di Paolo, Thomas E. Baker, Alexandre Foley, David Sénéchal, Alexandre Blais
Year
2019
Paper ID
14385
Status
Preprint
Abstract Read
~2 min
Abstract Words
113
Citations
N/A
Abstract
We introduce an efficient tensor network toolbox to compute the low-energy excitations of large-scale superconducting quantum circuits up to a desired accuracy. We benchmark this algorithm on the fluxonium qubit, a superconducting quantum circuit based on a Josephson junction array with over a hundred junctions. As an example of the possibilities offered by this numerical tool, we compute the pure-dephasing coherence time of the fluxonium qubit due to charge noise and coherent quantum phase slips, taking into account the array degrees of freedom corresponding to a Hilbert space as large as15180. Our algorithm is applicable to the wide variety of circuit-QED systems and may be a useful tool for scaling up superconducting-qubit technologies.
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- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
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- We introduce an efficient tensor network toolbox to compute the low-energy excitations of large-scale superconducting quantum circuits up to a desired accuracy.
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