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Unveiling non-Markovian spacetime signaling in open quantum systems with long-range tensor network dynamics
- Source :
- Physical Review A, Physical Review A, American Physical Society 2021, Phys.Rev.A, Phys.Rev.A, 2021, 104, pp.052204. ⟨10.1103/PhysRevA.104.052204⟩
- Publication Year :
- 2021
-
Abstract
- Funding: T.L., A.C., and B.W.L. thank the Defence Science and Technology Laboratory and Direction Générale de l'Armement for support through the Anglo-French Ph.D. scheme. A.D. acknowledges support from the École Doctorale 564 Physique en Île-de-France. D.G. acknowledges studentship funding from EPSRC (Grant No. EP/L015110/1). B.W.L. acknowledges support from EPSRC Grant No. EP/T014032/1 T.L. acknowledges to be part of the École Doctorale 564 Physique en Île-de-France and the Centre for Doctoral Training in Quantum Materials. Nanoscale devices, either biol. or artificial, operate in a regime where the usual assumptions of a structureless Markovian bath do not hold. Being able to predict and study the dynamics of such systems is crucial and is usually done by tracing out the bath degrees of freedom, which implies losing information about the environment. To go beyond these approaches we use a numerically exact method relying on a matrix product state representation of the quantum state of a system and its environment to keep track of the bath explicitly. This method is applied to a specific example of interaction that depends on the spatial structure of a system made of two sites. The result is that we predict a non-Markovian dynamics where long-range couplings induce correlations into the environment. The environment dynamics can be naturally extracted from our method and shine a light on long-time feedback effects that are responsible for the observed non-Markovian recurrences in the eigenpopulations of the system. Publisher PDF
- Subjects :
- [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]
TK
T-NDAS
Degrees of freedom (physics and chemistry)
FOS: Physical sciences
feedback
02 engineering and technology
01 natural sciences
TK Electrical engineering. Electronics Nuclear engineering
[PHYS.PHYS.PHYS-COMP-PH]Physics [physics]/Physics [physics]/Computational Physics [physics.comp-ph]
[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Quantum state
0103 physical sciences
structure
Statistical physics
Tensor
010306 general physics
Representation (mathematics)
Quantum
[PHYS.COND.CM-MSQHE]Physics [physics]/Condensed Matter [cond-mat]/Mesoscopic Systems and Quantum Hall Effect [cond-mat.mes-hall]
Matrix product state
QC
Physics
Quantum Physics
Spacetime
[INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic
[PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus]
tracks
021001 nanoscience & nanotechnology
Network dynamics
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
long-range
QC Physics
space-time
correlation
network
[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]
[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]
Quantum Physics (quant-ph)
0210 nano-technology
[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
Subjects
Details
- Language :
- English
- ISSN :
- 24699926 and 24699934
- Database :
- OpenAIRE
- Journal :
- Physical Review A, Physical Review A, American Physical Society 2021, Phys.Rev.A, Phys.Rev.A, 2021, 104, pp.052204. ⟨10.1103/PhysRevA.104.052204⟩
- Accession number :
- edsair.doi.dedup.....5da2ee2b81b8be670f440aadc4f9506c
- Full Text :
- https://doi.org/10.1103/PhysRevA.104.052204⟩