scholarly journals Method for direct observation of coherent quantum oscillations in a superconducting phase qubit: Computer simulations

2003 ◽  
Vol 68 (22) ◽  
Author(s):  
Ya. S. Greenberg
Keyword(s):  
Computer Simulations ◽  
Direct Observation ◽  
Superconducting Phase ◽  
Quantum Oscillations ◽  
Phase Qubit ◽  
Coherent Quantum

scholarly journals Method for direct observation of coherent quantum oscillations in a superconducting phase qubit

2002 ◽  
Vol 66 (22) ◽  
Author(s):  
Ya. S. Greenberg ◽  
A. Izmalkov ◽  
M. Grajcar ◽  
E. Il’ichev ◽  
W. Krech ◽  
...  
Keyword(s):  
Direct Observation ◽  
Superconducting Phase ◽  
Quantum Oscillations ◽  
Phase Qubit ◽  
Coherent Quantum

Spectrum of a superconducting phase qubit coupled to a microscopic two-level system

2014 ◽  
Vol 59 (29-30) ◽  
pp. 3835-3840 ◽  
Author(s):  
Zhican Du ◽  
Xueda Wen ◽  
Yu Zhou ◽  
Guozhu Sun ◽  
Jian Chen ◽  
...  
Keyword(s):  
Superconducting Phase ◽  
Level System ◽  
Phase Qubit

scholarly journals Quantum dynamics of a microwave driven superconducting phase qubit coupled to a two-level system

2010 ◽  
Vol 82 (13) ◽  
Author(s):  
Guozhu Sun ◽  
Xueda Wen ◽  
Bo Mao ◽  
Zhongyuan Zhou ◽  
Yang Yu ◽  
...  
Keyword(s):  
Quantum Dynamics ◽  
Superconducting Phase ◽  
Level System ◽  
Phase Qubit

scholarly journals Observation of Quantum Oscillations between a Josephson Phase Qubit and a Microscopic Resonator Using Fast Readout

2004 ◽  
Vol 93 (18) ◽  
Author(s):  
K. B. Cooper ◽  
Matthias Steffen ◽  
R. McDermott ◽  
R. W. Simmonds ◽  
Seongshik Oh ◽  
...  
Keyword(s):  
Quantum Oscillations ◽  
Phase Qubit

Machine learning for data-driven discovery in solid Earth geoscience

Science ◽  
2019 ◽  
Vol 363 (6433) ◽  
pp. eaau0323 ◽  
Author(s):  
Karianne J. Bergen ◽  
Paul A. Johnson ◽  
Maarten V. de Hoop ◽  
Gregory C. Beroza
Keyword(s):  
Machine Learning ◽  
Solid Earth ◽  
Computer Simulations ◽  
Direct Observation ◽  
The State ◽  
Important Task ◽  
Data Availability ◽  
Data Driven ◽  
State Of The Field

Understanding the behavior of Earth through the diverse fields of the solid Earth geosciences is an increasingly important task. It is made challenging by the complex, interacting, and multiscale processes needed to understand Earth’s behavior and by the inaccessibility of nearly all of Earth’s subsurface to direct observation. Substantial increases in data availability and in the increasingly realistic character of computer simulations hold promise for accelerating progress, but developing a deeper understanding based on these capabilities is itself challenging. Machine learning will play a key role in this effort. We review the state of the field and make recommendations for how progress might be broadened and accelerated.

scholarly journals rf-SQUID-Mediated Coherent Tunable Coupling between a Superconducting Phase Qubit and a Lumped-Element Resonator

2010 ◽  
Vol 104 (17) ◽  
Author(s):  
M. S. Allman ◽  
F. Altomare ◽  
J. D. Whittaker ◽  
K. Cicak ◽  
D. Li ◽  
...  
Keyword(s):  
Superconducting Phase ◽  
Lumped Element ◽  
Tunable Coupling ◽  
Phase Qubit ◽  
Rf Squid
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