As part of their recent study, Nagib and his colleagues set out to explore the possibility of preparing entangled states using Grover's search algorithm.

Compared to classical search algorithms, the Grover algorithm theoretically reduces the search complexity to O (√N), providing exponential speedup when processing large-scale unordered databases.

Grover’s algorithm helps facilitate quantum search capabilities, enabling users to quickly find values among billions of unstructured data points at once.

The integration of quantum neural networks with Grover's algorithm has broad application prospects.

That’s because Grover’s algorithm provides a quadratic speedup over a classical computer (for now, ASIC-based mining remains considerably faster). How fast is a quadratic speedup?

Grover's algorithm, a quantum algorithm for search, can be used to prepare entangled states of many qubits efficiently. It can be physically implemented in atom-cavity systems by repeatedly ...