Modeling Charge Noise in Superconducting Qubits Using Memory Multi-Fractional Brownian Motion

2025/07/27 by Haq, Mahboob Ul
#FOS: Physical sciences #Quantum Physics (quant-ph)

paper · doi:10.48550/arxiv.2507.20097

Abstract

We introduce a novel stochastic model for charge noise in superconducting charge qubits based on memory multi-fractional Brownian motion (mmfBm), capable of capturing non-stationary and long-memory effects. This framework reproduces key experimental features of decoherence and offers new insights into environmental interactions with superconducting quantum devices.

Citations

• How to factor 2048 bit RSA integers with less than a million noisy qubits
• Quantum Computing in the NISQ era and beyond
• Towards understanding two-level-systems in amorphous solids: insights from quantum circuits
• Simulating physics with computers
• A Topological Oracle Model for Proving P ≠ NP
• Quantum theory, the Church–Turing principle and the universal quantum computer
• Fractional Brownian Motions, Fractional Noises and Applications

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