:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Innan, Nouhaila, Putra, Rachmad Vidya Wicaksana, Shafique, Muhammad
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2604.11022
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)

NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
by: Devkota, Avaneesh, et al.
Published: (2024)

QSViT: A Methodology for Quantizing Spiking Vision Transformers
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2026)

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
by: Altrabulsi, Mohamed Khair, et al.
Published: (2026)

SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Towards Fair Benchmarking of Quantum Transfer Learning for Visual Classification
by: Innan, Nouhaila, et al.
Published: (2026)

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

HQTN-SER: Speech Emotion Recognition with Hybrid Quantum Tensor Networks
by: Mohtashim, Mahad, et al.
Published: (2026)

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection
by: Innan, Nouhaila, et al.
Published: (2025)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
by: Bano, Iqra, et al.
Published: (2024)

A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
by: Bano, Iqra, et al.
Published: (2024)

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

Investigating Different Barren Plateaus Mitigation Strategies in Variational Quantum Eigensolver
by: Atallah, Mostafa, et al.
Published: (2025)

Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
by: Siddiqui, Owais Ishtiaq, et al.
Published: (2024)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics
by: Vyskubov, Danil, et al.
Published: (2026)

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

QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks
by: Dutta, Siddhant, et al.
Published: (2025)

Quantum Portfolio Optimization with Expert Analysis Evaluation
by: Innan, Nouhaila, et al.
Published: (2025)

FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2025)

LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout
by: Pathak, Param, et al.
Published: (2026)

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
by: Innan, Nouhaila, et al.
Published: (2026)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
by: Innan, Nouhaila, et al.
Published: (2024)

EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms
by: Younesi, Abolfazl, et al.
Published: (2026)

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy
by: Innan, Nouhaila, et al.
Published: (2025)

Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
by: Kashif, Muhammad, et al.
Published: (2025)

GAT-QNN: Genetic Algorithm-Based Training of Hybrid Quantum Neural Networks
by: Ahmed, Tasnim, et al.
Published: (2026)

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
by: Khan, Abdul Samad, et al.
Published: (2025)

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

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
by: Dutta, Siddhant, et al.
Published: (2024)

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
by: Choudhary, Prashant Kumar, et al.
Published: (2025)