Cover Image

Depth-Based Matrix Classification for the HHL Quantum Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Danza, Mark, Alarcon, Sonia Lopez, Merkel, Cory
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving the encoding bottleneck: of the HHL algorithm, by the HHL algorithm
by: He, Guang Ping
Published: (2025)

The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0
by: Khadiev, Kamil, et al.
Published: (2019)

TrackHHL: A Quantum Computing Algorithm for Track Reconstruction at the LHCb
by: Chiotopoulos, Xenofon, et al.
Published: (2025)

Optimization of the HHL Algorithm
by: Sood, Dhruv, et al.
Published: (2026)

An Enhanced Hybrid HHL Algorithm
by: Morgan, Jack, et al.
Published: (2024)

Universal Matrix Multiplication on Quantum Computer
by: Yao, Jiaqi, et al.
Published: (2024)

Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages
by: Akpinar, Emine, et al.
Published: (2026)

Quantum Ensemble for Classification
by: Macaluso, Antonio, et al.
Published: (2020)

Securing HHL Quantum Algorithm against Quantum Computer Attacks
by: Tan, Yizhuo, et al.
Published: (2024)

Quantum Measurement Classification with Qudits
by: Useche, Diego H., et al.
Published: (2021)

A Quantum Bagging Algorithm with Unsupervised Base Learners for Label Corrupted Datasets
by: Rathi, Neeshu, et al.
Published: (2025)

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
by: Caro, Matthias C.
Published: (2022)

Quantum Shadow Gradient Descent for Variational Quantum Algorithms
by: Heidari, Mohsen, et al.
Published: (2023)

RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations
by: Kumar, Swagat, et al.
Published: (2025)

Extending UNIQuE: Quantum Simulation Speedup for the HHL Algorithm
by: Robertson, Reece, et al.
Published: (2026)

Reducing the Complexity of Matrix Multiplication to $O(N^2log_2N)$ by an Asymptotically Optimal Quantum Algorithm
by: Yao, Jiaqi, et al.
Published: (2026)

The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers
by: Shinde, Aakash Ravindra, et al.
Published: (2026)

Detailed Error Analysis of the HHL Algorithm
by: Phillips, Xinbo Li Christopher
Published: (2024)

Neural Architecture Search Algorithms for Quantum Autoencoders
by: Kulshrestha, Ankit, et al.
Published: (2025)

Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
by: Sharma, Diksha, et al.
Published: (2024)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
by: Viqueira, José Daniel, et al.
Published: (2023)

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
by: Lee, Junyong, et al.
Published: (2025)

Hybrid Quantum-Classical Learning for Multiclass Image Classification
by: Anwar, Shuchismita, et al.
Published: (2025)

Empirical Study of Observable Sets in Multiclass Quantum Classification
by: Sebastian, Paul San, et al.
Published: (2026)

Classification of the Fashion-MNIST Dataset on a Quantum Computer
by: Shen, Kevin, et al.
Published: (2024)

Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
by: Hafidi, My Youssef El, et al.
Published: (2025)

Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024)

Quantum Algorithms for Projection-Free Sparse Convex Optimization
by: He, Jianhao, et al.
Published: (2025)

Noise-Induced Barren Plateaus in Variational Quantum Algorithms
by: Wang, Samson, et al.
Published: (2020)

Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
by: Turati, Gloria, et al.
Published: (2023)

Tensor Network Estimation of Distribution Algorithms
by: Gardiner, John, et al.
Published: (2024)

Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
by: Pandey, Tushar
Published: (2026)

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2026)

Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms
by: Wang, Shuangbao Paul, et al.
Published: (2025)

Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
by: Sadhu, Abhishek, et al.
Published: (2026)

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
by: Liang, Zhiding, et al.
Published: (2024)

Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
by: Alidaee, Bahram, et al.
Published: (2024)

Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
by: Lim, Debbie, et al.
Published: (2024)

A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
by: Yuhan, Jiang, et al.
Published: (2025)

A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
by: Masum, Abu Kaisar Mohammad, et al.
Published: (2025)