Quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …
computers and have a transformative impact on numerous industry sectors. We present a …
Quantum Machine Learning: Classifications, Challenges, and Solutions
W Lu, Y Lu, J Li, A Sigov, L Ratkin, LA Ivanov - Journal of Industrial …, 2024 - Elsevier
Recently, research at the intersection of quantum mechanics and machine learning has
gained attention. This interdisciplinary field aims to tackle the computational efficiency of …
gained attention. This interdisciplinary field aims to tackle the computational efficiency of …
[HTML][HTML] Rice yield forecasting using hybrid quantum deep learning model
In recent advancements in agricultural technology, quantum mechanics and deep learning
integration have shown promising potential to revolutionize rice yield forecasting methods …
integration have shown promising potential to revolutionize rice yield forecasting methods …
Financial fraud detection using quantum graph neural networks
Financial fraud detection is essential for preventing significant financial losses and
maintaining the reputation of financial institutions. However, conventional methods of …
maintaining the reputation of financial institutions. However, conventional methods of …
Neural quantum embedding: Pushing the limits of quantum supervised learning
Quantum embedding is a fundamental prerequisite for applying quantum machine learning
techniques to classical data and has substantial impacts on performance outcomes. In this …
techniques to classical data and has substantial impacts on performance outcomes. In this …
Financial fraud detection: a comparative study of quantum machine learning models
In this research, a comparative study of four Quantum Machine Learning (QML) models was
conducted for fraud detection in finance. We proved that the Quantum Support Vector …
conducted for fraud detection in finance. We proved that the Quantum Support Vector …
From portfolio optimization to quantum blockchain and security: A systematic review of quantum computing in finance
A Naik, E Yeniaras, G Hellstern, G Prasad… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we provide an overview of the recent work in the quantum finance realm from
various perspectives. The applications in consideration are Portfolio Optimization, Fraud …
various perspectives. The applications in consideration are Portfolio Optimization, Fraud …
Quantum entropy and reinforcement learning for distributed denial of service attack detection in smart grid
Distributed Denial of Service (DDoS) threats in Smart Grid are very challenging and
considered one of the most destructive cyber-attacks. They are harmfully affecting the power …
considered one of the most destructive cyber-attacks. They are harmfully affecting the power …
Assessing the benefits and risks of quantum computers
Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …
national prosperity and security. Understanding the timeframes over which economic …
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
F Di Marcantonio, M Incudini, D Tezza… - Quantum Machine …, 2023 - Springer
Exploiting the properties of quantum information to the benefit of machine learning models is
perhaps the most active field of research in quantum computation. This interest has …
perhaps the most active field of research in quantum computation. This interest has …