REVIEW 1 cited by
Image Processing in Quantum Computers
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Quantum Image Processing (QIP)is an exciting new field showing a lot of promise as a powerful addition to the arsenal of Image Processing techniques. Representing image pixel by pixel using classical information requires an enormous amount of computational resources. Hence, exploring methods to represent images in a different paradigm of information is important. In this work, we study the representation of images in Quantum Information. The main motivation for this pursuit is the ability of storing N bits of classical information in only log(2N) quantum bits (qubits). The promising first step was the exponentially efficient implementation of the Fourier transform in quantum computers as compared to Fast Fourier Transform in classical computers. In addition, images encoded in quantum information could obey unique quantum properties like superposition or entanglement.
Forward citations
Cited by 1 Pith paper
-
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
QMoE, a quantum mixture-of-experts architecture with a learnable quantum router and multiple parameterized quantum expert circuits, reports consistent accuracy gains over standard quantum neural networks on 8x8 MNIST ...
Discussion (0). Continue with ORCID to comment.