:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Malik, Nausherwan, Khalid, Zubair, Faryad, Muhammad
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Quantum Physics
Online Access:	https://arxiv.org/abs/2601.04413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lecture Notes on Quantum Algorithms
by: Faryad, Muhammad
Published: (2025)

A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2026)

Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025)

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction
by: Ahmad, Rehan, et al.
Published: (2026)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
by: Zaman, Kamila, et al.
Published: (2023)

Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)

Hardware-Aware Quantum Support Vector Machines
by: Chaudhry, Adil Mubashir, et al.
Published: (2026)

Analysis of the Bernstein--Vazirani Algorithm in the presence of Pauli Noise
by: Faizan, Muhammad, et al.
Published: (2025)

Quasi Inverse of Qubit Channels for Mixed States
by: Faizan, Muhammad, et al.
Published: (2024)

Enhancing Quantum Support Vector Machines through Variational Kernel Training
by: Innan, Nouhaila, et al.
Published: (2023)

Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)

LLM-Guided Ansätze Design for Quantum Circuit Born Machines in Financial Generative Modeling
by: Gujju, Yaswitha, et al.
Published: (2025)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2024)

Analysis of State Teleportation using Noisy Quantum Gates
by: Khan, Imama Tul Birrah, et al.
Published: (2026)

Physics-inspired neural networks as quasi inverse of quantum channels
by: Aziz, Sameen, et al.
Published: (2025)

Geometric Parameterization of Kraus Operators with Applications to Quasi Inverse Channels for Multi Qubit Systems
by: Ateeq, Zain, et al.
Published: (2025)

Hybrid Quantum--Classical k-Means Clustering via Quantum Feature Maps
by: Abdullah, Syed M., et al.
Published: (2026)

Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)

Hybrid Quantum-Classical Neural Architecture Search
by: Marchisio, Alberto, et al.
Published: (2026)

Quantum Scrambling Born Machine
by: Płodzień, Marcin
Published: (2026)

Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024)

Multiple Embeddings for Quantum Machine Learning
by: Han, Siyu, et al.
Published: (2025)

Neural Guided Sampling for Quantum Circuit Optimization
by: Rosenhahn, Bodo, et al.
Published: (2025)

QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
by: Marchisio, Alberto, et al.
Published: (2026)

Machine Learning for Practical Quantum Error Mitigation
by: Liao, Haoran, et al.
Published: (2023)

Entangling Machine Learning with Quantum Tensor Networks
by: van der Poel, Constantijn, et al.
Published: (2024)

Limitations of Quantum Advantage in Unsupervised Machine Learning
by: Patel, Apoorva D.
Published: (2025)

Probabilistic Quantum SVM Training on Ising Machine
by: He, Haoqi, et al.
Published: (2025)

Prospects of Privacy Advantage in Quantum Machine Learning
by: Heredge, Jamie, et al.
Published: (2024)

Exploring Quantum Machine Learning for Weather Forecasting
by: da Silva, Maria Heloísa F., et al.
Published: (2025)

Quantum Machine Learning via Contrastive Training
by: Zhukas, Liudmila A., et al.
Published: (2025)

On the Sample Complexity of Quantum Boltzmann Machine Learning
by: Coopmans, Luuk, et al.
Published: (2023)

Spectral Bias in Variational Quantum Machine Learning
by: Duffy, Callum, et al.
Published: (2025)

Understanding Generalization in Quantum Machine Learning with Margins
by: Hur, Tak, et al.
Published: (2024)

Quantum Machine Learning Playground
by: Debus, Pascal, et al.
Published: (2025)

Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
by: Yazizi, Abdelmoula El, et al.
Published: (2025)

A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
by: Heese, Raoul, et al.
Published: (2023)

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
by: Marcandelli, Paolo, et al.
Published: (2025)

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
by: Wang, Maida, et al.
Published: (2025)