A5099097286- Optical Network Technologies
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Advanced Photonic Communication Systems
- Orbital Angular Momentum in Optics
- Photonic and Optical Devices
- Random lasers and scattering media
University of the Witwatersrand
2024
Structured light, light tailored in its internal degrees of freedom, has become topical numerous quantum and classical information processing protocols. In this work, we harness the high dimensional nature structured modulated transverse spatial degree freedom to realise an adaptable scheme for learning unitary operations. Our approach borrows from concepts variational computing, where a search or optimisation problem is mapped onto task finding minimum ground state energy given energy/goal...
Optical Vector Matrix Multipliers (OVMMs) offer a promising avenue for accelerating computations due to their inherent parallelism. However, integration with quantum algorithms remains unexplored. Here, we present the implementation of algorithm, Deutsch-Josza on an OVMM.
Structured light, light tailored in its internal degrees of freedom, has become topical numerous quantum and classical information processing protocols. In this work, we harness the high dimensional nature structured modulated transverse spatial degree freedom to realize an adaptable scheme for learning unitary operations. Our approach borrows from concepts variational computing, where a search or optimization problem is mapped onto task finding minimum ground state energy given energy/goal...
Optical computing harnesses the speed of light to perform vector-matrix operations efficiently. It leverages interference, a cornerstone quantum algorithms, enable parallel computations. In this work, we interweave with classical structured by formulating process photonic matrix multiplication using mechanical principles such as state superposition and subsequently demonstrate well known algorithm, namely Deutsch-Jozsa's algorithm. This is accomplished elucidating inherent tensor product...
Optical computing harnesses the speed of light to perform vector-matrix operations efficiently. It leverages interference, a cornerstone quantum algorithms, enable parallel computations. In this work, we interweave with classical structured by formulating process photonic matrix multiplication using mechanical principles such as state superposition and subsequently demonstrate well-known algorithm, namely, Deutsch–Jozsa’s algorithm. This is accomplished elucidating inherent tensor product...
We report a technique for executing quantum computing protocols that are inspired by photonic matrix multiplication and exploits the inherent tensor product structure of transverse spatial modes.