Recent Advances for Quantum Neural Networks in Generative Learning

Understand

Quantum computers are next-generation devices that hold promise to perform calculations beyond the reach of classical computers.

• A leading method towards achieving this goal is through quantum machine learning, especially quantum generative learning.
• Due to the intrinsic probabilistic nature of quantum mechanics, it is reasonable to postulate that quantum generative learning models (QGLMs) may surpass their classical counterparts.
• As such, QGLMs are receiving growing attention from the quantum physics and computer science communities, where various QGLMs that can be efficiently implemented on near-term quantum machines with potential computational advantages are proposed.