1. A quantum system-based image pattern recognition computation apparatus for machine vision, the computation apparatus recognizing patterns between images in machine vision by using a quantum system, the computation apparatus comprising: a memory configured to store program instructions; and a processor configured to execute the program instructions, the program instructions, when executed, configured to: set up an objective function based on similarity between a first pattern derived from relationships between points of interests of an input image and a second pattern derived from relationships between points of interests of a reference image; find an optimum first pattern and an optimum second pattern, in which the similarity between the first pattern and the second pattern is optimized, by interpreting a final quantum state obtained through an adiabatic evolution process of the quantum system in which the objective function is optimized; and recognize that the input image matches the reference image if the optimized similarity is greater than a predetermined threshold value, wherein the quantum system comprises a physical model that depends on interaction between dipoles, and a Hamiltonian is set up as the objective function, wherein the Hamiltonian is adapted to solve the physical model, and the Hamiltonian includes a qubit operator term associating a superposition of qubit states.