Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning

Understand

The application of near-term quantum devices to machine learning (ML) has attracted much attention.

• In one such attempt, Mitarai et al.
• (2018) proposed a framework to use a quantum circuit for supervised ML tasks, which is called quantum circuit learning (QCL).
• Due to the use of a quantum circuit, QCL can employ an exponentially high-dimensional Hilbert space as its feature space.