Image de couverture de livre

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dai, Xin, Wei, Tzu-Chieh, Yoo, Shinjae, Chen, Samuel Yen-Chi
Format:	Preprint
Publié:	2024
Sujets:	Quantum Physics Artificial Intelligence Emerging Technologies Machine Learning Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning to Program Quantum Measurements for Machine Learning
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

Introduction to Quantum Machine Learning and Quantum Architecture Search
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

Learning to Measure Quantum Neural Networks
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

An Introduction to Quantum Reinforcement Learning (QRL)
par: Chen, Samuel Yen-Chi
Publié: (2024)

Quantum Long Short-term Memory with Differentiable Architecture Search
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

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

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
par: Chen, Samuel Yen-Chi
Publié: (2024)

Neural Architecture Search for Quantum Autoencoders
par: Agha, Hibah, et autres
Publié: (2025)

The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
par: Chen, Wei-Ting
Publié: (2024)

Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming
par: Stein, Christoph, et autres
Publié: (2025)

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
par: Pan, Shuaiqun, et autres
Publié: (2025)

A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
par: Zhao, Max B., et autres
Publié: (2025)

What is Cognitive Computing? An Architecture and State of The Art
par: Elnagar, Samaa, et autres
Publié: (2023)

A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
par: Brand, Dean, et autres
Publié: (2024)

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing
par: Sinno, Salvatore, et autres
Publié: (2025)

Analog Alchemy: Neural Computation with In-Memory Inference, Learning and Routing
par: Demirag, Yigit
Publié: (2024)

CIMNAS: A Joint Framework for Compute-In-Memory-Aware Neural Architecture Search
par: Krestinskaya, Olga, et autres
Publié: (2025)

Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method
par: Prajapati, Santlal, et autres
Publié: (2025)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
par: Chen, Samuel Yen-Chi
Publié: (2024)

The Conquest of Quantum Genetic Algorithms: The Adventure to Cross the Valley of Death
par: Lahoz-Beltra, Rafael
Publié: (2023)

Quantum Genetic Optimization for Negative Selection Algorithms in Anomaly Detection
par: Gamberi, Giancarlo P., et autres
Publié: (2026)

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
par: Wang, Bo, et autres
Publié: (2024)

Training Deep Boltzmann Networks with Sparse Ising Machines
par: Niazi, Shaila, et autres
Publié: (2023)

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
par: Gonzalez, Hector A., et autres
Publié: (2024)

On when is Reservoir Computing with Cellular Automata Beneficial?
par: Glover, Tom, et autres
Publié: (2024)

Towards Efficient Formal Verification of Spiking Neural Network
par: Seong, Baekryun, et autres
Publié: (2024)

cuAPO: A CUDA-based Parallelization of Artificial Protozoa Optimizer
par: Soliya, Henish, et autres
Publié: (2025)

Mem-elements based Neuromorphic Hardware for Neural Network Application
par: Singh, Ankur
Publié: (2024)

Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
par: Patino-Saucedo, Alberto, et autres
Publié: (2024)

ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores
par: Jiang, Ziyang, et autres
Publié: (2024)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
par: Mia, Md Zesun Ahmed, et autres
Publié: (2025)

SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
par: Hejda, Matěj, et autres
Publié: (2025)

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
par: Dequino, Alberto, et autres
Publié: (2024)

A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity
par: Talukder, Ria, et autres
Publié: (2024)

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
par: Gibertini, Paolo, et autres
Publié: (2022)

Visualising the Attractor Landscape of Neural Cellular Automata
par: Stovold, James, et autres
Publié: (2026)

Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant
par: Kim, Seung Hyun, et autres
Publié: (2026)

Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task
par: Qu, Qianhou, et autres
Publié: (2026)

Stability and Geometry of Attractors in Neural Cellular Automata
par: Kvalsund, Mia-Katrin, et autres
Publié: (2026)