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Accurate and efficient prediction of electronic wavefunctions is central to ab initio molecular dynamics (AIMD) and electronic structure theory. However, conventional ab initio methods require self-consistent optimization of electronic…

Chemical Physics · Physics 2025-11-12 Yanxian Tao , Lingyun Wan , Xiongzhi Zeng , Yingdi Jin , Jie Liu , Zhenyu Li , Jinlong Yang

Continual learning deals with training models on new tasks and datasets in an online fashion. One strand of research has used probabilistic regularization for continual learning, with two of the main approaches in this vein being Online…

Machine Learning · Computer Science 2020-12-01 Noel Loo , Siddharth Swaroop , Richard E. Turner

We present a quantum computing approach to analyzing Large Language Model (LLM) embeddings, leveraging complex-valued representations and modeling semantic relationships using quantum mechanical principles. By establishing a direct mapping…

Quantum Physics · Physics 2025-12-03 Timo Aukusti Laine

Radio signal classification plays a pivotal role in identifying the modulation scheme used in received radio signals, which is essential for demodulation and proper interpretation of the transmitted information. Researchers have underscored…

Quantum Physics · Physics 2023-12-14 Yanqiu Wu , Eromanga Adermann , Chandra Thapa , Seyit Camtepe , Hajime Suzuki , Muhammad Usman

Image classification is a major application domain for conventional deep learning (DL). Quantum machine learning (QML) has the potential to revolutionize image classification. In any typical DL-based image classification, we use…

Computer Vision and Pattern Recognition · Computer Science 2021-09-21 Mahabubul Alam , Satwik Kundu , Rasit Onur Topaloglu , Swaroop Ghosh

Quantum machine learning (QML) is a fast-growing discipline within quantum computing. One popular QML algorithm, quantum kernel estimation, uses quantum circuits to estimate a similarity measure (kernel) between two classical feature…

Quantum Physics · Physics 2023-07-12 Travis L. Scholten , Derrick Perry , Joseph Washington , Jennifer R. Glick , Thomas Ward

Modern machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating confusing or erroneous outputs or by deferring to human…

Machine Learning · Computer Science 2024-12-12 Milan Maksimovic , Ivan S. Maksymov

Classical machine learning (CML) occupies nearly half of machine learning pipelines in production applications. Unfortunately, it fails to utilize the state-of-the-practice devices fully and performs poorly. Without a unified framework, the…

Machine Learning · Computer Science 2023-05-01 Xu Wen , Wanling Gao , Anzheng Li , Lei Wang , Zihan Jiang , Jianfeng Zhan

The rapid development of Convolutional Neural Networks (CNNs) in recent years has triggered significant breakthroughs in many machine learning (ML) applications. The ability to understand and compare various CNN models available is thus…

Machine Learning · Computer Science 2022-01-19 Xiwei Xuan , Xiaoyu Zhang , Oh-Hyun Kwon , Kwan-Liu Ma

As financial fraud becomes increasingly complex, effective detection methods are essential. Quantum Machine Learning (QML) introduces certain capabilities that may enhance both accuracy and efficiency in this area. This study examines how…

Quantum Physics · Physics 2026-02-12 Mansour El Alami , Nouhaila Innan , Muhammad Shafique , Mohamed Bennai

The meteoric rise of artificial intelligence in recent years has seen machine learning methods become ubiquitous in modern science, technology, and industry. Concurrently, the emergence of programmable quantum computers, coupled with the…

Quantum Physics · Physics 2025-06-17 Muhammad Usman

Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction…

Machine Learning · Computer Science 2022-01-28 Ziruo Yi , Ting Xiao , Kaz-Onyeakazi Ijeoma , Ratnam Cheran , Yuvraj Baweja , Phillip Nelson

Quantum machine learning (QML) is a cross-disciplinary subject made up of two of the most exciting research areas: quantum computing and classical machine learning (ML), with ML and artificial intelligence (AI) being projected as the first…

Quantum Physics · Physics 2025-02-27 Santanu Ganguly

We introduce Coarse Q-learning (CQL), a reinforcement-learning model for bandit problems with stochastically varying menus. Alternatives are exogenously partitioned into similarity classes, and feedback from sampled alternatives is pooled…

Theoretical Economics · Economics 2026-05-13 Philippe Jehiel , Aviman Satpathy

Due to the superiority and noteworthy progress of Quantum Computing (QC) in a lot of applications such as cryptography, chemistry, Big data, machine learning, optimization, Internet of Things (IoT), Blockchain, communication, and many more.…

Quantum Physics · Physics 2020-06-23 Zainab Abohashima , Mohamed Elhosen , Essam H. Houssein , Waleed M. Mohamed

Recently latent factor model (LFM) has been drawing much attention in recommender systems due to its good performance and scalability. However, existing LFMs predict missing values in a user-item rating matrix only based on the known ones,…

Machine Learning · Computer Science 2020-03-06 Chaochao Chen , Kevin C. Chang , Qibing Li , Xiaolin Zheng

Quantum computing is rapidly evolving in both physics and computer science, offering the potential to solve complex problems and accelerate computational processes. The development of quantum chips necessitates understanding the…

Machine Learning · Computer Science 2024-10-08 Gilchan Park , Paul Baity , Byung-Jun Yoon , Adolfy Hoisie

Real-valued logics have seen a renewed interest in verification for probabilistic and quantitative systems, in particular machine learning models, where they can be used to directly integrate specifications in the training objective. To do…

Logic in Computer Science · Computer Science 2026-05-15 Matteo Capucci , Robert Atkey , Charles Grellois , Ekaterina Komendantskaya

Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transformers combined with prompt tuning have shown promise for…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Anurag Roy , Riddhiman Moulick , Vinay K. Verma , Saptarshi Ghosh , Abir Das

Quantum Extreme Learning Machine (QELM) is an emerging hybrid quantum machine learning framework that leverages quantum system dynamics to enhance classical models. However, QELM can suffer from the exponential concentration problem, where…

Quantum Physics · Physics 2026-04-24 Payal D. Solanki , Anh Pham