Phys.org November 30, 2024 To enable parallel computations optical computing leverages interference, a cornerstone of quantum computing algorithms. Researchers in South Africa blended quantum computing with classical structured light by formulating the process of photonic matrix multiplication using quantum mechanical principles such as state superposition and demonstrated Deutsch–Jozsa’s algorithm, by elucidating the inherent tensor product structure within the Cartesian transverse degrees of freedom of light. They demonstrated the operation of a Hadamard gate. According to the researchers their approach show it is adaptable to various algorithms, and advances the use of structured light for quantum information processing… read more. Open […]
Tag Archives: Optical computing
A multi-level breakthrough in optical computing—a faster, more efficient, and robust memory cell
Phys.org October 23, 2024 A typical approach to photonic processing is to multiply a rapidly changing optical input vector with a matrix of fixed optical weights. However, encoding these weights on-chip using an array of photonic memory cells is currently limited by a wide range of material- and device-level issues, such as the programming speed, extinction ratio and endurance, among others. An international team of researchers (USA – UC Santa Barbara, University of Pittsburg, Italy, Japan) proposed a new approach to encoding optical weights for in-memory photonic computing using magneto-optic memory cells comprising heterogeneously integrated cerium-substituted yttrium iron garnet (Ce:YIG) […]
Engineers develop advanced optical computing method for multiplexed data processing and encryption
Phys.org July 8, 2024 Large-scale and high-dimensional permutation operations are important for various applications in telecommunications and encryption. Researchers at UCLA, California, used all-optical diffractive computing to execute a set of high-dimensional permutation operations between an input and output field-of-view through layer rotations in a diffractive optical network. In this design every diffractive layer had four orientations: 0 deg, 90 deg, 180 deg and 270 deg. Each unique combination of these layers represented a distinct rotation state, tailored for a specific permutation operation. A K-layer rotatable diffractive design could perform up to independent permutation operations. The original input information could […]