Copertina

Quantum Data Center: Perspectives

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Junyu, Jiang, Liang
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

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

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

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
di: Liu, Wenjie, et al.
Pubblicazione: (2023)

Component Based Quantum Machine Learning Explainability
di: White, Barra, 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)

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

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)

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

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

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
di: Wang, Zhepeng, et al.
Pubblicazione: (2024)

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
di: Wang, Hanrui, et al.
Pubblicazione: (2022)

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

Replay-buffer engineering for noise-robust quantum circuit optimization
di: Kundu, Akash, et al.
Pubblicazione: (2026)

Long Range Frequency Tuning for QML
di: Poppel, Michael, et al.
Pubblicazione: (2026)

Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction
di: Ito, Takafumi, et al.
Pubblicazione: (2025)

TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
di: Kundu, Akash, et al.
Pubblicazione: (2025)

Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization
di: Liu, Jun
Pubblicazione: (2026)

Adversarial Robustness of Partitioned Quantum Classifiers
di: Kananian, Pouya, et al.
Pubblicazione: (2025)

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

Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
di: Ghosh, Arpita, et al.
Pubblicazione: (2024)

An Introduction to Quantum Reinforcement Learning (QRL)
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)

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

Quantum Long Short-term Memory with Differentiable Architecture Search
di: Chen, Samuel Yen-Chi, et al.
Pubblicazione: (2025)

Quantum Federated Learning Experiments in the Cloud with Data Encoding
di: Pokhrel, Shiva Raj, et al.
Pubblicazione: (2024)

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

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

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

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
di: Han, Jason, et al.
Pubblicazione: (2025)

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

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

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)

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

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
di: Wang, Zeheng, et al.
Pubblicazione: (2024)

Enhancing Quantum Federated Learning with Fisher Information-Based Optimization
di: Bhatia, Amandeep Singh, et al.
Pubblicazione: (2025)