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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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