Modeling Charge Noise in Superconducting Qubits Using Memory Multi-Fractional Brownian Motion
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866916866863136768 |
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| author | Haq, Mahboob Ul |
| author_facet | Haq, Mahboob Ul |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_20097 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Modeling Charge Noise in Superconducting Qubits Using Memory Multi-Fractional Brownian Motion Haq, Mahboob Ul Quantum Physics 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. |
| title | Modeling Charge Noise in Superconducting Qubits Using Memory Multi-Fractional Brownian Motion |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2507.20097 |