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Trapped Ion Quantum Computing Superconducting Qubits

Solving the Transient Dyson Equation with Quasilinear Complexity via Matrix Compression

arXiv
Authors: Baptiste Lamic

Year

2024

Paper ID

38111

Status

Preprint

Abstract Read

~2 min

Abstract Words

87

Citations

N/A

Abstract

We introduce a numerical strategy to efficiently solve the out-of-equilibrium Dyson equation in the transient regime. By discretizing the equation into a compact matrix form and applying state-of-the-art matrix compression techniques, we achieve significant improvements in computational efficiency, which result in quasi-linear scaling of both time and space complexity with propagation time. This enables to compute accurate solutions even for systems with multiple and disparate time scales. We benchmark our solver by simulating a voltage-biased Josephson junction formed by a quantum dot connected to two superconducting leads.

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  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • We introduce a numerical strategy to efficiently solve the out-of-equilibrium Dyson equation in the transient regime.

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