Noise Correlations in a 1D Silicon Spin Qubit Array

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Donnelly, M. B., Rowlands, J., Kranz, L., Hsueh, Y. L., Chung, Y., Timofeev, A. V., Geng, H., Singh-Gregory, P., Gorman, S. K., Keizer, J. G., Rahman, R., Simmons, M. Y.
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866916869697437696
author Donnelly, M. B.
Rowlands, J.
Kranz, L.
Hsueh, Y. L.
Chung, Y.
Timofeev, A. V.
Geng, H.
Singh-Gregory, P.
Gorman, S. K.
Keizer, J. G.
Rahman, R.
Simmons, M. Y.
author_facet Donnelly, M. B.
Rowlands, J.
Kranz, L.
Hsueh, Y. L.
Chung, Y.
Timofeev, A. V.
Geng, H.
Singh-Gregory, P.
Gorman, S. K.
Keizer, J. G.
Rahman, R.
Simmons, M. Y.
contents Correlated noise across multi-qubit architectures is known to be highly detrimental to the operation of error correcting codes and the long-term feasibility of quantum processors. The recent discovery of spatially dependent correlated noise in multi-qubit architectures of superconducting qubits arising from the impact of cosmic radiation and high-energy particles giving rise to quasiparticle poisoning within the substrate has led to intense investigations of mitigation strategies to address this. In contrast correlated noise in semiconductor spin qubits as a function of distance has not been reported to date. Here we report the magnitude, frequency and spatial dependence of noise correlations between four silicon quantum dot pairs as a function of inter-dot distance at frequencies from 0.3mHz to 1mHz. We find the magnitude of charge noise correlations, quantified by the magnitude square coherence $C_{xy}$, are significantly suppressed from $>0.5$ to $<0.1$ as the inter-dot distance increases from 75nm to 300nm. Using an analytical model we confirm that, in contrast to superconducting qubits, the dominant source of correlated noise arises from low frequency charge noise from the presence of two level fluctuators (TLFs) at the native silicon-silicon dioxide surface. Knowing this, we conclude with an important and timely discussion of charge noise mitigation strategies.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03763
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Noise Correlations in a 1D Silicon Spin Qubit Array
Donnelly, M. B.
Rowlands, J.
Kranz, L.
Hsueh, Y. L.
Chung, Y.
Timofeev, A. V.
Geng, H.
Singh-Gregory, P.
Gorman, S. K.
Keizer, J. G.
Rahman, R.
Simmons, M. Y.
Mesoscale and Nanoscale Physics
Correlated noise across multi-qubit architectures is known to be highly detrimental to the operation of error correcting codes and the long-term feasibility of quantum processors. The recent discovery of spatially dependent correlated noise in multi-qubit architectures of superconducting qubits arising from the impact of cosmic radiation and high-energy particles giving rise to quasiparticle poisoning within the substrate has led to intense investigations of mitigation strategies to address this. In contrast correlated noise in semiconductor spin qubits as a function of distance has not been reported to date. Here we report the magnitude, frequency and spatial dependence of noise correlations between four silicon quantum dot pairs as a function of inter-dot distance at frequencies from 0.3mHz to 1mHz. We find the magnitude of charge noise correlations, quantified by the magnitude square coherence $C_{xy}$, are significantly suppressed from $>0.5$ to $<0.1$ as the inter-dot distance increases from 75nm to 300nm. Using an analytical model we confirm that, in contrast to superconducting qubits, the dominant source of correlated noise arises from low frequency charge noise from the presence of two level fluctuators (TLFs) at the native silicon-silicon dioxide surface. Knowing this, we conclude with an important and timely discussion of charge noise mitigation strategies.
title Noise Correlations in a 1D Silicon Spin Qubit Array
topic Mesoscale and Nanoscale Physics
url https://arxiv.org/abs/2405.03763