A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so ...

A linear depth quantum circuit that implements general duality transformations in one dimensional quantum lattice models. Credit: Physical Review Letters (2025). DOI: 10.1103/PhysRevLett.134.130403 ...

Through examples from complicated systems, the paper demonstrates the structural characteristics, applications, and limitations of this principle. Furthermore, it examines the fundamental distinction ...

Abstract: We present a method for noniterative maximum a posteriori (MAP) tomographic reconstruction which is based on the use of sparse matrix representations. Our approach is to precompute and store ...

5.3. Linear mapping for ImageNet. Building upon the insights gained from MNIST and CIFAR-10, where linear mapping for adversarial data between different CNN architectures proved effective, we propose ...

In this paper, we identify that DIFT under dependency-based information flow rules can be cast as linear transformations over taint state. This enables a novel matrix-based representation, which we ...

Example compressed matrix. Figure 4 shows an example compressed matrix block in its logical representation. The 10 × 5 input matrix is encoded as four column groups, where we use 1-based indexes.