A quantum mechanical arithmetic operation method for machine vision, based on orbital qubit is performed by a quantum processing processor. The quantum mechanical arithmetic operation method comprises, obtaining a first labeled graph connecting between feature points of the first image and a second labeled graph connecting feature points of the second image, generating a point-to-point combination by matching the feature points of the first image with the feature points the second image, generating a conflict graph by adding the largest point-to-point combination by comparing the point-to-point combinations with the threshold, generating non-constrained binary optimization equation for finding a maximum independent set of conflict graphs, converting the non-constrained binary optimization equation into Ising model of the quantum system, and calculating the Hamiltonian of Ising model based on an orbital qubit to obtain solution of the non-constrained binary optimization equation.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A quantum mechanical arithmetic operation method based on orbital qubits, the quantum mechanical arithmetic operation method being performed by a quantum processing processor, the quantum mechanical arithmetic operation method comprising: obtaining a first labeled graph connecting between feature points of the first image and a second labeled graph connecting feature points of the second image; generating a point-to-point combination by matching the feature points of the first image with the feature points the second image; generating a conflict graph by adding the largest point-to-point combination by comparing the point-to-point combinations with the threshold; generating non-constrained binary optimization equation for finding a maximum independent set of conflict graphs; converting the non-constrained binary optimization equation into Ising model of the quantum system; and calculating the Hamiltonian of Ising model based on an orbital qubit to obtain solution of the non-constrained binary optimization equation. 2. The quantum mechanical arithmetic operation method of claim 1, wherein calculating the Hamiltonian of Ising model based on orbital qubit to obtain solution of the non-constrained binary optimization equation is performed by two eigenstate in six eigenstates in the minimum conduction band of silicon (Si) crystal, the two eigenstate being opposite to each other. 3. The quantum mechanical arithmetic operation method of claim 2, wherein the two eigenstate are along a [001] direction of silicon crystal. 4. The quantum mechanical arithmetic operation method of claim 1, wherein the Hamiltonian of the Ising model is calculated through adiabatic evolve, in calculating the Hamiltonian of Ising model based on an orbital qubit to obtain solution of the non-constrained binary optimization equation. 5. The quantum mechanical arithmetic operation method of claim 1, further comprising: repeatedly learning the non-constrained binary optimization equation through machine learning. 6. A quantum mechanical machine vision system comprising: an image acquisition module configured to acquire an image; a quantum processing processor configured to process the image obtained from the image acquisition module; and a memory unit configured to store data necessary for computation of the quantum processing processor; wherein the quantum processing processor, obtains a first labeled graph connecting between feature points of the first image and a second labeled graph connecting feature points of the second image, generates a point-to-point combination by matching the feature points of the first image with the feature points the second image, generates a conflict graph by adding the largest point-to-point combination by comparing the point-to-point combinations with the threshold, generates non-constrained binary optimization equation for finding a maximum independent set of conflict graphs, converts the non-constrained binary optimization equation into Ising model of the quantum system, and calculates the Hamiltonian of Ising model based on an orbital qubit to obtain solution of the non-constrained binary optimization equation. 7. The quantum mechanical machine vision system of claim 6, wherein the quantum processing processor uses two eigenstate in six eigenstates in the minimum conduction band of silicon (Si) crystal, the two eigenstate being opposite to each other. 8. The quantum mechanical machine vision system of claim 7, wherein the two eigenstate are along a [001] direction of silicon crystal. 9. The quantum mechanical machine vision system of claim 6, wherein the quantum processing processor calculates the Hamiltonian of the Ising model through adiabatic evolve.