Related papers: Quantum median filter for Total Variation image denoising

Quantum median filter for Total Variation image denoising

URL: http://arxiv.org/abs/2212.01041v1
Date: Fri, 2 Dec 2022 09:13:27 GMT
Title: Quantum median filter for Total Variation image denoising
Authors: Simone De Santis, Damiana Lazzaro, Riccardo Mengoni, Serena Morigi
Abstract summary: This work proposes the challenging development of a powerful method of image denoising, such as the Total Variation (TV) model, in a quantum environment. Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance.
Score: 2.294014185517203
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, through a difficult process of knowledge transfer. This effort is named Quantum Image Processing, an emerging research field pushed by powerful parallel computing capabilities of quantum computers. This work goes in this direction and proposes the challenging development of a powerful method of image denoising, such as the Total Variation (TV) model, in a quantum environment. The proposed Quantum TV is described and its sub-components are analysed. Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance compared to the classical variational TV counterpart.

Related papers

Photonic Quantum Computers [0.0]
Review captures a pivotal moment of photonic quantum computing in the noisy intermediate-scale quantum (NISQ) era. Offers insights into how photonic quantum computers might reshape the future of quantum computing.
arXiv Detail & Related papers (2024-09-12T17:16:38Z)
Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm [2.4630731476141365]
We show that single photons and linear optical networks are sufficient for implementing Variational Quantum Algorithms. We show this by a proof-of-principle demonstration of a variational approach to tackle an instance of a factorization task.
arXiv Detail & Related papers (2024-08-19T18:26:57Z)
Demonstration of quantum projective simulation on a single-photon-based quantum computer [0.0]
Variational quantum algorithms show potential in effectively operating on noisy intermediate-scale quantum devices. We present the implementation of this algorithm on Ascella, a single-photon-based quantum computer from Quandela.
arXiv Detail & Related papers (2024-04-19T09:17:15Z)
Hybrid quantum transfer learning for crack image classification on NISQ hardware [62.997667081978825]
We present an application of quantum transfer learning for detecting cracks in gray value images. We compare the performance and training time of PennyLane's standard qubits with IBM's qasm_simulator and real backends.
arXiv Detail & Related papers (2023-07-31T14:45:29Z)
Towards interpretable quantum machine learning via single-photon quantum walks [2.4047296366832307]
We present a variational method to quantize projective simulation (PS) PS is a reinforcement learning model aimed at interpretable artificial intelligence. We show that the quantized PS model can exploit quantum interference to acquire capabilities beyond those of its classical counterpart.
arXiv Detail & Related papers (2023-01-31T14:38:33Z)
Tunable photon-mediated interactions between spin-1 systems [68.8204255655161]
We show how to harness multi-level emitters with several optical transitions to engineer photon-mediated interactions between effective spin-1 systems. Our results expand the quantum simulation toolbox available in cavity QED and quantum nanophotonic setups.
arXiv Detail & Related papers (2022-06-03T14:52:34Z)
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning [2.660348668799655]
We focus on quantum methods for keypoint extraction and feature matching. It is explained how these methods can be re-formulated for quantum annealers and gate-based quantum computers.
arXiv Detail & Related papers (2022-04-23T19:33:14Z)
Ultra-long photonic quantum walks via spin-orbit metasurfaces [52.77024349608834]
We report ultra-long photonic quantum walks across several hundred optical modes, obtained by propagating a light beam through very few closely-stacked liquid-crystal metasurfaces. With this setup we engineer quantum walks up to 320 discrete steps, far beyond state-of-the-art experiments.
arXiv Detail & Related papers (2022-03-28T19:37:08Z)
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator. variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware. We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z)
Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor. We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z)
An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem. The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.