Imagen de Portada

Quantum Resonant Dimensionality Reduction and Its Application in Quantum Machine Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Fan, Wang, Furong, Xu, Xusheng, Gao, Pao, Xin, Tao, Wei, ShiJie, Long, Guilu
Formato:	Preprint
Publicado:	2024
Materias:	Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Riemann Hypothesis Emerges in Dynamical Quantum Phase Transitions
por: Wei, ShiJie, et al.
Publicado: (2025)

A Time-Symmetric Quantum Algorithm for Direct Eigenstate Determination
por: Wei, Shijie, et al.
Publicado: (2025)

Accelerating quantum adiabatic evolution with $π$-pulse sequences
por: Xing, Tonghao, et al.
Publicado: (2025)

Investigation of a non-Hermitian edge burst with time-dependent perturbation theory
por: Wen, Pengyu, et al.
Publicado: (2023)

Speeding up adiabatic holonomic quantum gates via $π$-pulse modulation
por: Zhang, Jiang, et al.
Publicado: (2025)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
por: Shinde, Aakash Ravindra, et al.
Publicado: (2025)

Experimental observation of information flow in the anti-$\mathcal{PT}$-symmetric system
por: Wen, Jingwei, et al.
Publicado: (2019)

Modeling Quantum Links for the Exploration of Distributed Quantum Computing Systems
por: Rached, Sahar Ben, et al.
Publicado: (2025)

Dimensional Reduction in Quantum Optics
por: Ströhle, Jannik, et al.
Publicado: (2023)

Accurate and Scalable Simulation of Cavity-Based Networks in Modular Quantum Architectures
por: Rached, Sahar Ben, et al.
Publicado: (2025)

Machine Learning for Quantum Noise Reduction
por: Kendre, Karan
Publicado: (2025)

On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
por: Tao, Han-Xiao, et al.
Publicado: (2025)

Generative Deep Learning for the Two-Dimensional Quantum Rotor Model
por: Wang, Yanyang, et al.
Publicado: (2026)

Tight Generalization Bound for Supervised Quantum Machine Learning
por: Wang, Xin, et al.
Publicado: (2025)

Optimal Quantum Overlapping Tomography
por: Wei, Chao, et al.
Publicado: (2024)

Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
por: Li, Weitang, et al.
Publicado: (2025)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
por: Fan, Fan, et al.
Publicado: (2026)

Applications of Quantum Machine Learning for Quantitative Finance
por: Mironowicz, Piotr, et al.
Publicado: (2024)

One-photon-interference quantum secure direct communication
por: Li, Xiangjie, et al.
Publicado: (2024)

Noise-Resistant Feature-Aware Attack Detection Using Quantum Machine Learning
por: Ding, Chao, et al.
Publicado: (2026)

Quantum Subliminal Learning
por: Zhang, Shi-Xin, et al.
Publicado: (2026)

DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
por: He, Jun-Jie, et al.
Publicado: (2025)

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

Temperature-Controlled Resonance in a Heteronuclear Quantum Gas Mixture
por: Yang, Xiaoyi, et al.
Publicado: (2026)

Measurement Reduction in Orbital‐Optimized Variational Quantum Eigensolver via Orbital Compression
por: Yanxian Tao, et al.
Publicado: (2026)

Non-Resonant Boundary Time Crystals from Quantum Synchronization Breakdown
por: Wang, Jun, et al.
Publicado: (2026)

Machine Learning Enhanced Quantum State Tomography on FPGA
por: Wu, Hsun-Chung, et al.
Publicado: (2025)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
por: Qi, Jun, et al.
Publicado: (2024)

One-Shot Min-Entropy Calculation Of Classical-Quantum States And Its Application To Quantum Cryptography
por: Wang, Rong, et al.
Publicado: (2024)

Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
por: Wang, Quanlong, et al.
Publicado: (2022)

Variational Quantum Dimension Reduction for Recurrent Quantum Models
por: Lyu, Chufan, et al.
Publicado: (2026)

Mode Selection in Quantum Nonlinear Optics Using Optical Resonators
por: Chen, Xin
Publicado: (2025)

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
por: Wang, Maida, et al.
Publicado: (2025)

MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
por: Xu, Xusheng, et al.
Publicado: (2024)

Machine Learning Enables Optimization of Diamond for Quantum Applications
por: deQuilettes, Dane W., et al.
Publicado: (2025)

Mixed-encoding one-photon-interference quantum secure direct communication
por: Li, Xiangjie, et al.
Publicado: (2024)

One-Dimensional Nonlinear Quantum Walks
por: Shi, Yujia, et al.
Publicado: (2026)

Quantum Coherence in a Quantum Heat Engine
por: Shi, Yun-Hao, et al.
Publicado: (2019)

Effective Distance of Higher Dimensional HGPs and Weight-Reduced Quantum LDPC Codes
por: Tan, Shi Jie Samuel, et al.
Publicado: (2024)

The High‐Dimensional Quantum Toffoli Gate on Quantum Dot Spin
por: Si‐Ge Chen, et al.
Publicado: (2025)