Detecting and quantifying entanglement on near-term quantum devices
Kun Wang, Zhixin Song, Xuanqiang Zhao, Zihe Wang, Xin Wang

TL;DR
This paper introduces two variational quantum algorithms, VED and VLNE, for detecting and quantifying entanglement on near-term quantum devices, combining hybrid quantum-classical methods with quasi-probability decomposition.
Contribution
It presents novel variational algorithms for entanglement detection and quantification tailored for NISQ devices, utilizing positive map criteria and trace distance estimation.
Findings
Validated on Bell, isotropic, and Breuer states
Effective detection of entanglement on NISQ devices
Quantitative estimation of entanglement measures
Abstract
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current Noisy Intermediate-Scale Quantum (NISQ) era. This paper combines hybrid quantum-classical computation and quasi-probability decomposition to propose two variational quantum algorithms, called Variational Entanglement Detection (VED) and Variational Logarithmic Negativity Estimation (VLNE), for detecting and quantifying entanglement on near-term quantum devices, respectively. VED makes use of the positive map criterion and works as follows. Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices. It then variationally estimates the minimal eigenvalue of the final state, obtained by executing these implementable operations on the target state and averaging the output states. Deterministic and probabilistic…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum and electron transport phenomena
