Multi-Modal Image Fusion Based on Matrix Product State of Tensor [PDF]
Frontiers in Neurorobotics, 2021 Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily.
Yixiang Lu +4 more
doaj +2 more sources
Simplified State Interaction for Matrix Product State Wave Functions. [PDF]
J Chem Theory Comput, 2021 We present an approximation to the state-interaction approach for matrix product state (MPS) wave functions (MPSSI) in a nonorthogonal molecular orbital basis, first presented by Knecht et al. [J. Chem.
Freitag L +3 more
europepmc +2 more sources
Residual matrix product state for machine learning [PDF]
SciPost Physics, 2023 Tensor network, which originates from quantum physics, is emerging as an efficient tool for classical and quantum machine learning. Nevertheless, there still exists a considerable accuracy gap between tensor network and the sophisticated neural network ...
Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran
doaj +2 more sources
Hierarchical equations of motion approach to hybrid fermionic and bosonic environments: Matrix product state formulation in twin space [PDF]
Journal of Chemical Physics, 2022 We extend the twin-space formulation of the hierarchical equations of motion approach in combination with the matrix product state representation [R. Borrelli, J. Chem. Phys.
Yaling Ke +2 more
exaly +2 more sources
Skeleton of matrix-product-state-solvable models connecting topological phases of matter [PDF]
Physical Review Research, 2021 Models whose ground states can be written as an exact matrix-product state (MPS) provide valuable insights into phases of matter. While MPS-solvable models are typically studied as isolated points in a phase diagram, they can belong to a connected ...
Nick G. Jones +5 more
doaj +2 more sources
Many-body localization in large systems: Matrix-product-state approach [PDF]
Annals of Physics, 2021 Recent developments in matrix-product-state (MPS) investigations of many-body localization (MBL) are reviewed, with a discussion of benefits and limitations of the method.
Elmer V H Doggen, I V Gornyi, A D Mirlin
exaly +2 more sources
Quantum state preparation of normal distributions using matrix product states [PDF]
npj Quantum Information, 2023 State preparation is a necessary component of many quantum algorithms. In this work, we combine a method for efficiently representing smooth differentiable probability distributions using matrix product states with recently discovered techniques for ...
Jason Iaconis +2 more
doaj +2 more sources
Matrix product state on a quantum computer
New Journal of PhysicsSolving quantum many-body systems is one of the most significant regimes where quantum computing applies. Currently, as a hardware-friendly computational paradigms, variational algorithms are often used for finding the ground energy of quantum many-body ...
Yong Liu +3 more
doaj +2 more sources
Optimising Matrix Product State Simulations of Shor's Algorithm [PDF]
Quantum, 2019 We detail techniques to optimise high-level classical simulations of Shor's quantum factoring algorithm. Chief among these is to examine the entangling properties of the circuit and to effectively map it across the one-dimensional structure of a matrix ...
Aidan Dang +2 more
doaj +3 more sources
Quantum State Designs with Clifford-Enhanced Matrix Product States [PDF]
PRX QuantumNonstabilizerness, or “magic,” is a critical quantum resource that, together with entanglement, characterizes the nonclassical complexity of quantum states.
Guglielmo Lami +2 more
doaj +2 more sources