With this paper we bring about a discussion on the computing potential of complex optical networks and provide experimental demonstration that an optical fiber network can be used as an analog processor to calculate matrix inversion. A 3x3 matrix is inverted as a proof-of-concept demonstration using a fiber network containing three nodes and operating at telecomm wavelength. For an NxN matrix, the overall solving time (including setting time of the matrix elements and calculation time of inversion) scales as O(N2), whereas matrix inversion by most advanced computer algorithms requires ~O(N2.37) computational time. For well-conditioned matrices, the error of the inversion performed optically is found to be around 3%, limited by the accuracy ...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
We use complex-weighted, deep networks to invert the effects of multimode optical fibre distortion o...
AbstractThere are many matrix inversion algorithms, some being widely known and others not as widely...
With this paper we bring about a discussion on the computing potential of complex optical networks a...
The inversion of matrices was calculated on a single transputer and on a network of transputers to s...
Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural compu...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
AbstractIn this paper, an inversion algorithm for a banded matrix is presented. The n twisted decomp...
Reducing the computing time of the matrix inversion has been a concern of many authors. The use of S...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
The implementation of matrix inversion algorithms using the few instructions, multiple data, systoli...
The largest complete mode transfer matrix of a fiber is measured consisting of 110 spatial and polar...
This paper describes the imple!llentation of a fast matrix inversion algorithm that can be ...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
We use complex-weighted, deep networks to invert the effects of multimode optical fibre distortion o...
AbstractThere are many matrix inversion algorithms, some being widely known and others not as widely...
With this paper we bring about a discussion on the computing potential of complex optical networks a...
The inversion of matrices was calculated on a single transputer and on a network of transputers to s...
Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural compu...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
AbstractIn this paper, an inversion algorithm for a banded matrix is presented. The n twisted decomp...
Reducing the computing time of the matrix inversion has been a concern of many authors. The use of S...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
The implementation of matrix inversion algorithms using the few instructions, multiple data, systoli...
The largest complete mode transfer matrix of a fiber is measured consisting of 110 spatial and polar...
This paper describes the imple!llentation of a fast matrix inversion algorithm that can be ...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
We use complex-weighted, deep networks to invert the effects of multimode optical fibre distortion o...
AbstractThere are many matrix inversion algorithms, some being widely known and others not as widely...