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Published on: June 8, 2018
Theory of ground state factorization in quantum cooperative systems
Salvatore M Giampaolo1, Gerardo Adesso, Fabrizio Illuminati
1Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano (SA), Italy.
We developed a new analytic method to find factorized ground states in quantum cooperative systems. This approach rigorously identifies separable ground states in diverse spin models, regardless of their complexity or interaction range.
Area of Science:
- Quantum physics
- Condensed matter theory
- Statistical mechanics
Background:
- Understanding the properties of quantum cooperative systems is crucial for developing new quantum technologies.
- Identifying factorized ground states is key to characterizing the behavior of many-body quantum systems.
Purpose of the Study:
- To introduce a general analytic approach for studying factorization points and factorized ground states.
- To rigorously determine the existence, location, and exact form of separable ground states.
- To apply the method to a wide variety of spin models, including nonexactly solvable ones.
Main Methods:
- Development of a general analytic framework.
- Application to diverse spin models across different universality classes.
- Analysis of translationally invariant systems in any spatial dimension with arbitrary interaction ranges.
Main Results:
- The analytic approach rigorously proves the existence and determines the properties of separable ground states.
- The method is applicable to a broad class of quantum spin systems.
- Demonstrated applicability irrespective of spatial dimensionality and interaction range.
Conclusions:
- The presented analytic method offers a powerful tool for the rigorous study of factorized ground states in quantum cooperative systems.
- This work provides a unified framework applicable to various spin models, advancing the understanding of quantum many-body systems.
- The findings have implications for the design and analysis of quantum materials and quantum information processing.
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