Quantum Long Short-term Memory with Differentiable Architecture Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Samuel Yen-Chi, Tiwari, Prayag
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Emerging Technologies Neural and Evolutionary Computing Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Introduction to Quantum Machine Learning and Quantum Architecture Search
di: Chen, Samuel Yen-Chi, et al.
Pubblicazione: (2025)

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
di: Chen, Samuel Yen-Chi, et al.
Pubblicazione: (2025)

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
di: Dai, Xin, et al.
Pubblicazione: (2024)

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

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

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

Learning to Measure Quantum Neural Networks
di: Chen, Samuel Yen-Chi, et al.
Pubblicazione: (2025)

Learning to Program Quantum Measurements for Machine Learning
di: Chen, Samuel Yen-Chi, et al.
Pubblicazione: (2025)

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing
di: Sinno, Salvatore, et al.
Pubblicazione: (2025)

RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
di: Mia, Md Zesun Ahmed, et al.
Pubblicazione: (2026)

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

Neural Architecture Search for Quantum Autoencoders
di: Agha, Hibah, et al.
Pubblicazione: (2025)

Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming
di: Stein, Christoph, et al.
Pubblicazione: (2025)

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)

CIMNAS: A Joint Framework for Compute-In-Memory-Aware Neural Architecture Search
di: Krestinskaya, Olga, et al.
Pubblicazione: (2025)

Superposed parameterised quantum circuits
di: Patapovich, Viktoria, et al.
Pubblicazione: (2025)

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
di: Ahmed, Soyed Tuhin, et al.
Pubblicazione: (2024)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
di: Shetty, Sanjana
Pubblicazione: (2024)

Gradient-based Design of Computational Granular Crystals
di: Parsa, Atoosa, et al.
Pubblicazione: (2024)

Noise-Aware Training of Neuromorphic Dynamic Device Networks
di: Manneschi, Luca, et al.
Pubblicazione: (2024)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
di: Meyer, Svea Marie, et al.
Pubblicazione: (2024)

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
di: Dequino, Alberto, et al.
Pubblicazione: (2024)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
di: Mia, Md Zesun Ahmed, et al.
Pubblicazione: (2025)

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
di: Dobrita, Alexandra, et al.
Pubblicazione: (2024)

Delving Deeper Into Astromorphic Transformers
di: Mia, Md Zesun Ahmed, et al.
Pubblicazione: (2023)

Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
di: Moghadam, Mehran Shoushtari, et al.
Pubblicazione: (2025)

Quantum-limited stochastic optical neural networks operating at a few quanta per activation
di: Ma, Shi-Yuan, et al.
Pubblicazione: (2023)

What is Cognitive Computing? An Architecture and State of The Art
di: Elnagar, Samaa, et al.
Pubblicazione: (2023)

Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
di: Thind, Parampuneet Kaur, et al.
Pubblicazione: (2026)

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

A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
di: Brand, Dean, et al.
Pubblicazione: (2024)

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model
di: Yang, Jichang, et al.
Pubblicazione: (2024)

InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model
di: Khanzada, Feeza Khan, et al.
Pubblicazione: (2025)

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
di: Wang, Bo, et al.
Pubblicazione: (2024)

DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
di: Krausse, Jann, et al.
Pubblicazione: (2026)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
di: Daniels, Rishona, et al.
Pubblicazione: (2026)

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
di: Garg, Nikhil, et al.
Pubblicazione: (2025)

Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing
di: Garg, Nikhil, et al.
Pubblicazione: (2025)

On when is Reservoir Computing with Cellular Automata Beneficial?
di: Glover, Tom, et al.
Pubblicazione: (2024)