Open quantum system in the indefinite environment
He Wang, Jin Wang

TL;DR
This paper explores how indefinite environments, created via interferometers or auxiliary qubits, can enhance quantum correlations and serve as resources for quantum information tasks by manipulating environmental superpositions.
Contribution
It introduces a model for indefinite environments using fully connected qubit baths and analyzes their impact on quantum correlations and information processing.
Findings
Indefinite environments can significantly enhance quantum correlations.
Only statistical mixtures preserve influences when path coherence is destroyed.
Indefiniteness can be utilized for teleportation and quantum parameter estimation.
Abstract
In this paper, we investigate the interference engineering of the open quantum system, where the environment is made indefinite either through the use of an interferometer or the introduction of auxiliary qubits. The environments are modeled by fully connected qubit baths with exact analytical dynamics. As the system passes through the interferometer or is controlled by auxiliary qubits, it is propagated along different paths or their superpositions, leading to distinct interactions with the environment in each path. This results in the superposition of the environments, which can be detected through specific measurements that retain certain coherent information about the paths. Our results demonstrate that the indefiniteness of the environment can significantly enhance the quantum correlations. However, only the statistical mixture of the influences from the environments preserves…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
