A number of new quantum algorithms, which hold the unprecedented potential to enhance, speed up or innovate machine learning, have been proposed.
Researchers have developed an algorithm that modifies classical machine learning techniques for use on quantum computers.
The article examines major algorithmic frameworks, including Shor's cryptography algorithm, Grover's search optimization algorithm, and
Under the exact learning model [16], it has been shown [17] that quantum algorithms have a polynomial advantage over classical algorithms.
This Special Issue will focus on recent research aimed at advancing QML on NISQ devices through (a) identifying novel applications of QML with demonstrable
Quantum machine learning is emerging as a complementary tool in drug discovery, where hybrid classical–quantum algorithms are being explored to
Discover quantum machine learning algorithms, how they work, and their impact on drug discovery, finance, and AI. Complete 2026 guide with
We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug