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Quantum Mixtures and Information Loss in Many-Body Systems
被引:1
|作者:
Monteoliva, Diana
[1
]
Plastino, Angelo
[2
]
Plastino, Angel Ricardo
[3
]
机构:
[1] UNLP, Comis Invest Cient, RA-1900 La Plata, Buenos Aires, Argentina
[2] Univ Nacl La Plata, CONICET, Inst Fis La Plata, CCT, CC 727, RA-1900 La Plata, Argentina
[3] Univ Nacl Noroeste Prov Buenos Aires UNNOBA, CeBio Dept Ciencias Bas, CONICET, RA-6000 Junin, Argentina
来源:
APPLIEDMATH
|
2024年
/
4卷
/
02期
关键词:
many-fermion systems;
mixture degree;
finite temperature;
SU2;
symmetry;
81-82;
APPROXIMATION METHODS;
SOLVABLE MODEL;
VALIDITY;
D O I:
10.3390/appliedmath4020031
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In our study, we investigate the phenomenon of information loss, as measured by the Kullback-Leibler divergence, in a many-fermion system, such as the Lipkin model. Information loss is introduced as the number N of particles increases, particularly when the system is in a mixed state. We find that there is a significant loss of information under these conditions. However, we observe that this loss nearly disappears when the system is in a pure state. Our analysis employs tools from information theory to quantify and understand these effects.
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页码:570 / 579
页数:10
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