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% Load image img = imread('my_image.jpg'); % Convert image to grayscale gray_img = rgb2gray(img); % Normalize image norm_img = double(gray_img)/255; % Convert image to quantum state qstate = kron(norm_img(:), [1;0]); % tensor product with zero vector % Define graph adjacency matrix N = size(norm_img(:),1); A = zeros(N,N); for i = 1:N-1 A(i,i+1) = 1; A(i+1,i) = 1; end % Normalize adjacency matrix D = diag(sum(A)); L = D - A; L_norm = inv(D^0.5) * L * inv(D^0.5); % Initialize quantum walk psi0 = [1; 0]; U = expm(-i*0.1*L_norm); % quantum walk step size % Perform quantum walk for t = 1:100 qstate = U*qstate; end % Measure quantum state p = abs(qstate).^2; threshold = 0.5; mask = reshape(p>threshold, size(norm_img)); % Apply mask to original image segmented_img = bsxfun(@times, img, cast(mask, class(img))); % Display original and segmented images figure; subplot(1,2,1); imshow(img); title('Original image'); subplot(1,2,2); imshow(segmented_img); title('Segmented image');
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