Detecting and quantifying entanglement on near-term quantum devices

Understand

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.