  Quantum Computing offers an entirely new way of doing computation governed by
the rules of quantum mechanics like Superposition and Entanglement. These rules
allow us to do computation over all the possible states simultaneously. Hence,
offering exponentially higher computation power than the present classical
computers. Quantum computing algorithms are entirely different from classical
algorithms due to quantum parallel computing derived from quantum state
superposition and entanglement, which has natural advantages over classical
image processing. Grover algorithm is a quantum-based search algorithm used to
find the correct answer from an unsorted database by computing all the inputs
simultaneously. Thus, giving us a quadratic speed-up of order O(n) 1/2 in
comparison to the classical algorithm which offers speedup with order O(n). We
used the Grover algorithm for identifying the black pixel in a (2x2) classical
image by first converting it into a quantum state and then running the Grover
algorithm for identifying the pixel with 0 value maximum gray-scale intensity.
This technique has applications in areas like steganography offering data
encryption between users, image segmentation.
