Copertina

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Wenjie, Gao, Peipei, Wang, Yuxiang, Yu, Wenbin, Zhang, Maojun
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Quantum Physics Artificial Intelligence Emerging Technologies Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
di: Liu, Wenjie, et al.
Pubblicazione: (2023)

A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning
di: Liu, Wenjie, et al.
Pubblicazione: (2023)

Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
di: Gomez-Tejedor, Aitor, et al.
Pubblicazione: (2025)

A quantum system control method based on enhanced reinforcement learning
di: Liu, Wenjie, et al.
Pubblicazione: (2023)

Transformer-Based Neural Quantum Digital Twins for Many-Body Quantum Simulation and Optimal Annealing Schedule Design
di: Lu, Jianlong, et al.
Pubblicazione: (2025)

Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
di: Osaba, Eneko, et al.
Pubblicazione: (2025)

Quantum forgery attacks on COPA,AES-COPA and marble authenticated encryption algorithms
di: Xu, Yinsong, et al.
Pubblicazione: (2023)

Universal Quantum Transformer
di: Chung, Sungyong, et al.
Pubblicazione: (2026)

Hyperdimensional Quantum Factorization
di: Poduval, Prathyush, et al.
Pubblicazione: (2024)

Steiner Traveling Salesman Problem with Quantum Annealing
di: Ciacco, Alessia, et al.
Pubblicazione: (2025)

An Efficient Iterative Algorithm for Qubit Mapping via Layer-Weight Assignment and Search Space Reduction
di: Xu, Kang, et al.
Pubblicazione: (2025)

Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations
di: Sinha, Pranav, et al.
Pubblicazione: (2025)

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
di: Osaba, Eneko, et al.
Pubblicazione: (2024)

An Improved Quantum Private Set Intersection Protocol Based on Hadamard Gates
di: Liu, Wenjie, et al.
Pubblicazione: (2023)

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
di: Apte, Anuj, et al.
Pubblicazione: (2025)

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
di: Romero, Sebastián V., et al.
Pubblicazione: (2023)

Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?
di: Bertl, Markus, et al.
Pubblicazione: (2025)

Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
di: Lipardi, Vincenzo, et al.
Pubblicazione: (2025)

Component Based Quantum Machine Learning Explainability
di: White, Barra, et al.
Pubblicazione: (2025)

Quantum Data Center: Perspectives
di: Liu, Junyu, et al.
Pubblicazione: (2023)

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
di: Pan, Shuaiqun, et al.
Pubblicazione: (2025)

A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
di: Zhao, Max B., et al.
Pubblicazione: (2025)

Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach
di: Machot, Fadi Al, et al.
Pubblicazione: (2024)

Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share
di: Osaba, Eneko, et al.
Pubblicazione: (2025)

D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis
di: Osaba, Eneko, et al.
Pubblicazione: (2024)

QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming
di: Fu, Zhenxiao, et al.
Pubblicazione: (2025)

Learning to Program Variational Quantum Circuits with Fast Weights
di: Chen, Samuel Yen-Chi
Pubblicazione: (2024)

Reverse Map Projections as Equivariant Quantum Embeddings
di: Arnott, Max, et al.
Pubblicazione: (2024)

Reducing T Gates with Unitary Synthesis
di: Hao, Tianyi, et al.
Pubblicazione: (2025)

Variational Quantum Circuits Enhanced Generative Adversarial Network
di: Shu, Runqiu, et al.
Pubblicazione: (2024)

KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
di: Kundu, Akash, et al.
Pubblicazione: (2024)

Applying Quantum Autoencoders for Time Series Anomaly Detection
di: Frehner, Robin, et al.
Pubblicazione: (2024)

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
di: Li, Bacui, et al.
Pubblicazione: (2024)

KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
di: Apak, Boran, et al.
Pubblicazione: (2024)

Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
di: Mao, Yikai, et al.
Pubblicazione: (2023)

Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
di: Ganguly, Santanu
Pubblicazione: (2023)

A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System
di: Salek, M Sabbir, et al.
Pubblicazione: (2024)

Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
di: Osaba, Eneko, et al.
Pubblicazione: (2024)

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
di: Knitter, Oliver, et al.
Pubblicazione: (2026)

Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics
di: Zalesak, Matthew, et al.
Pubblicazione: (2025)