:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Zhuo, Dangovski, Rumen, Loh, Charlotte, Dugan, Owen, Luo, Di, Soljačić, Marin
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Quantum Physics
Acceso en línea:	https://arxiv.org/abs/2406.00132
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
por: Luo, Di, et al.
Publicado: (2022)

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
por: Dugan, Owen, et al.
Publicado: (2024)

Active learning for photonic crystals
por: Lopez, Ryan, et al.
Publicado: (2026)

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
por: Rugina, Ileana, et al.
Publicado: (2020)

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
por: Ramírez, Guillem, et al.
Publicado: (2020)

Accelerating Parallel Tempering: Quantile Tempering Algorithm (QuanTA)
por: Tawn, Nicholas G., et al.
Publicado: (2018)

Photonic probabilistic machine learning using quantum vacuum noise
por: Choi, Seou, et al.
Publicado: (2024)

ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
por: Chen, Zhuo, et al.
Publicado: (2023)

Multimodal Foundation Models for Material Property Prediction and Discovery
por: Moro, Viggo, et al.
Publicado: (2023)

Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
por: Ma, Andrew, et al.
Publicado: (2025)

Essentially No Energy Barrier Between Independent Fermionic Neural Quantum State Minima
por: Dai, David D., et al.
Publicado: (2026)

Long-range entanglement and quantum correlations in a multi-frequency comb system
por: Pontula, Sahil, et al.
Publicado: (2025)

Topological quantum walk in synthetic non-Abelian gauge fields
por: Pang, Zehai, et al.
Publicado: (2024)

Strong broadband intensity noise squeezing from near-infrared to terahertz frequencies in semiconductor lasers with nonlinear dissipation
por: Pontula, Sahil, et al.
Publicado: (2022)

Quantum-Enhanced LLM Efficient Fine Tuning
por: Kong, Xiaofei, et al.
Publicado: (2025)

A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
por: Bohnet, Bernd, et al.
Publicado: (2025)

Noise immunity in quantum optical systems through non-Hermitian topology
por: Sloan, Jamison, et al.
Publicado: (2025)

Multimode amplitude squeezing through cascaded nonlinear optical processes
por: Pontula, Sahil, et al.
Publicado: (2024)

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
por: Lopez-Piqueres, Javier, et al.
Publicado: (2025)

DemoQuanDT: A Carrier-Grade QKD Network
por: Horoschenkoff, P., et al.
Publicado: (2025)

TraversalBench: Challenging Paths to Follow for Vision Language Models
por: Petrova, Clara, et al.
Publicado: (2026)

TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
por: Chen, Zhuo, et al.
Publicado: (2024)

Quantum sensitivity of parametric oscillators
por: Gu, Alex, et al.
Publicado: (2024)

QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
por: Slim, Ali, et al.
Publicado: (2026)

Observing the dynamics of quantum states generated inside nonlinear optical cavities
por: Choi, Seou, et al.
Publicado: (2024)

Symbolic Learning of Topological Bands in Photonic Crystals
por: Ghorashi, Ali, et al.
Publicado: (2025)

L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
por: Chen, Zhuo, et al.
Publicado: (2025)

Fine-Tuned In-Context Learners for Efficient Adaptation
por: Bornschein, Jorg, et al.
Publicado: (2025)

Quantum Large Language Model Fine-Tuning
por: Kim, Sang Hyub, et al.
Publicado: (2025)

Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
por: Hao, Tianyi, et al.
Publicado: (2024)

ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
por: Zhang, Yilang, et al.
Publicado: (2025)

QuanEstimation.jl: An open-source Julia framework for quantum parameter estimation
por: Yu, Huai-Ming, et al.
Publicado: (2024)

QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
por: Raj, Snehal, et al.
Publicado: (2025)

Tensor Train Quantum State Tomography using Compressed Sensing
por: Sofi, Shakir Showkat, et al.
Publicado: (2025)

Efficient Auxiliary-Field Quantum Monte Carlo using Isometric Tensor Hypercontraction
por: Luo, Maxine, et al.
Publicado: (2026)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
por: Wang, Yizheng, et al.
Publicado: (2025)

Transfer Learning in Physics‐Informed Neurals Networks: Full Fine‐Tuning, Lightweight Fine‐Tuning, and Low‐Rank Adaptation
por: Yizheng Wang, et al.
Publicado: (2025)

Quantum-Tantric Cosmology: A Recursive TensorFramework Bridging Gravity, Quantum Mechanics and Emergent Intelligence — Resolving the Information Paradox and Fine-Tuning Problem
por: HAGAN, AJAY
Publicado: (2025)

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
por: Shao, Shihao, et al.
Publicado: (2024)

Tensor Quantum Programming
por: Termanova, A., et al.
Publicado: (2024)