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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Strathearn, Aidan |
Modelling Non-Markovian Quantum Systems Using Tensor Networks |
I09121 |
2020 |
eBook |
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| 2 |
van Haasteren, Rutger |
Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays |
I05416 |
2014 |
eBook |
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| Title | Modelling Non-Markovian Quantum Systems Using Tensor Networks |
| Author(s) | Strathearn, Aidan |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XV, 103 p. 64 illus., 15 illus. in color : online resource |
| Abstract Note | This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system. The key feature of this work is a novel way to represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many situations it may be the most efficient way of calculating open quantum dynamics. This work is abounds with new ideas and invention, and is likely to have a very significant impact on future generations of physicists |
| ISBN,Price | 9783030549756 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL PHYSICS
4. PROBABILITIES
5. Probability Theory and Stochastic Processes
6. QUANTUM PHYSICS
7. Statistics and Computing/Statistics Programs
8. Statistics??
9. Theoretical, Mathematical and Computational Physics
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09121 |
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On Shelf |
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2.
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| Title | Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays |
| Author(s) | van Haasteren, Rutger |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2014. |
| Description | XI, 139 p. 40 illus : online resource |
| Abstract Note | Pulsar timing is a promising method for detecting gravitational waves in the nano-Hertz band. In his prize winning Ph.D. thesis Rutger van Haasteren deals with how one takes thousands of seemingly random timing residuals which are measured by pulsar observers, and extracts information about the presence and character of the gravitational waves in the nano-Hertz band that are washing over our Galaxy. The author presents a sophisticated mathematical algorithm that deals with this issue. His algorithm is probably the most well-developed of those that are currently in use in the Pulsar Timing Array community. In chapter 3, the gravitational-wave memory effect is described. This is one of the first descriptions of this interesting effect in relation with pulsar timing, which may become observable in future Pulsar Timing Array projects. The last part of the work is dedicated to an effort to combine the European pulsar timing data sets in order to search for gravitational waves. This study has placed the most stringent limit to date on the intensity of gravitational waves that are produced by pairs of supermassive black holes dancing around each other in distant galaxies, as well as those that may be produced by vibrating cosmic strings. Rutger van Haasteren has won the 2011 GWIC Thesis Prize of the Gravitational Wave International Community for his innovative work in various directions of the search for gravitational waves by pulsar timing. The work is presented in this Ph.D. thesis |
| ISBN,Price | 9783642395994 |
| Keyword(s) | 1. Astronomy, Observations and Techniques
2. Astronomy???Observations
3. ASTROPHYSICS
4. Astrophysics and Astroparticles
5. Classical and Quantum Gravitation, Relativity Theory
6. Computer mathematics
7. Computer science???Mathematics
8. EBOOK
9. EBOOK - SPRINGER
10. GRAVITATION
11. Mathematical Applications in Computer Science
12. Observations, Astronomical
13. Statistics and Computing/Statistics Programs
14. Statistics??
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05416 |
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On Shelf |
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