Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

White-noise Properties of YBa2Cu3O7-δ Grain-boundary dc Superconducting Quantum Interference Devices

View through CrossRef
We have studied white (high-frequency)-noise properties of YBa2Cu3O7-δ grain-boundary dc superconducting quantum interference devices (SQUIDs). Bias voltage (V) dependence of the white-noise voltage spectral density (S v) was measured for dc-SQUIDs and junctions. As a result, S v at low bias voltage can be explained by the thermal noise theory of tunnel junctions. Furthermore, the energy resolution of 1.96×10-32 J/Hz is obtained at 43 K in the white-noise region. The measured energy resolution of the dc-SQUIDs is in good agreement with the theoretical results. According to the above results, YBa2Cu3O7-δ dc-SQUIDs with a quantum noise limit might be realized at 4.2 K.
Title: White-noise Properties of YBa2Cu3O7-δ Grain-boundary dc Superconducting Quantum Interference Devices
Description:
We have studied white (high-frequency)-noise properties of YBa2Cu3O7-δ grain-boundary dc superconducting quantum interference devices (SQUIDs).
Bias voltage (V) dependence of the white-noise voltage spectral density (S v) was measured for dc-SQUIDs and junctions.
As a result, S v at low bias voltage can be explained by the thermal noise theory of tunnel junctions.
Furthermore, the energy resolution of 1.
96×10-32 J/Hz is obtained at 43 K in the white-noise region.
The measured energy resolution of the dc-SQUIDs is in good agreement with the theoretical results.
According to the above results, YBa2Cu3O7-δ dc-SQUIDs with a quantum noise limit might be realized at 4.
2 K.

Related Results

Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Environmental History of Oceanic Noise Pollution
Environmental History of Oceanic Noise Pollution
The concept of “ocean noise” precedes the concept of “ocean noise pollution” by about half a century. Those seeking a body of scholarly literature on ocean noise as an environmenta...
Vortex pattern in three-dimensional mesoscopic superconducting rings
Vortex pattern in three-dimensional mesoscopic superconducting rings
Vortex structures in a mesoscopic a superconducting ring, which is in the magnetic field generated by a circular electric current, are investigated based on the phenomenological Gi...
Quantum Computing and Quantum Information Science
Quantum Computing and Quantum Information Science
Abstract: Quantum Computing and Quantum Information Science offers a comprehensive, interdisciplinary exploration of the mathematical principles, computational models, and engineer...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Quantum information outside quantum information
Quantum information outside quantum information
Quantum theory, as counter-intuitive as a theory can get, has turned out to make predictions of the physical world that match observations so precisely that it has been described a...
Current Fluctuations in Hybrid-Superconductor Normal Structures with Quantum Dots
Current Fluctuations in Hybrid-Superconductor Normal Structures with Quantum Dots
<p>Nanostructures with quantum dots in proximity to superconducting electrodes are an ideal tool to study superconducting correlations in systems with few degrees of freedom ...

Back to Top