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

TL;DR

This paper presents a new stochastic model using memory multi-fractional Brownian motion to accurately simulate charge noise in superconducting qubits, capturing complex non-stationary and long-memory effects.

Contribution

The paper introduces a novel mmfBm-based model that better represents charge noise characteristics in superconducting qubits compared to existing models.

Findings

Reproduces key experimental decoherence features

Captures non-stationary noise behavior

Provides insights into environmental interactions

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.