Imagen de Portada

RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kumar, Swagat, Zaech, Jan-Nico, Wilmott, Colin Michael, Van Gool, Luc
Formato:	Preprint
Publicado:	2025
Materias:	Quantum Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Simulating the non-Hermitian dynamics of financial option pricing with quantum computers
por: Kumar, Swagat, et al.
Publicado: (2024)

Generalising quantum imaginary time evolution to solve linear partial differential equations
por: Kumar, Swagat, et al.
Publicado: (2024)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
por: Zaech, Jan-Nico, et al.
Publicado: (2023)

ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
por: Pinos, Michal, et al.
Publicado: (2024)

Autonomous Vehicle Path Planning by Searching With Differentiable Simulation
por: Nachkov, Asen, et al.
Publicado: (2025)

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

Quantum Architecture Search with Unsupervised Representation Learning
por: Sun, Yize, et al.
Publicado: (2024)

Neural Architecture Search Algorithms for Quantum Autoencoders
por: Kulshrestha, Ankit, et al.
Publicado: (2025)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
por: Kölle, Michael, et al.
Publicado: (2025)

Qubit-Wise Architecture Search Method for Variational Quantum Circuits
por: Chen, Jialin, et al.
Publicado: (2024)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
por: Viqueira, José Daniel, et al.
Publicado: (2023)

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding
por: Nikolov, Nikolay, et al.
Publicado: (2025)

DARTS-GT: Differentiable Architecture Search for Graph Transformers with Quantifiable Instance-Specific Interpretability Analysis
por: Chakraborty, Shruti Sarika, et al.
Publicado: (2025)

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices
por: Elnakhal, Farah, et al.
Publicado: (2026)

QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks
por: Maleki, Kooshan, et al.
Publicado: (2026)

On Quantum Circuits for Discrete Graphical Models
por: Piatkowski, Nico, et al.
Publicado: (2022)

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

Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
por: Ahmad, Syed Farhan, et al.
Publicado: (2021)

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

Zero-shot Quantum Neural Architecture Search
por: Dao, Tung, et al.
Publicado: (2026)

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

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
por: Zhai, Jucai, et al.
Publicado: (2026)

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting
por: Stenzel, Gerhard, et al.
Publicado: (2024)

Universal Matrix Multiplication on Quantum Computer
por: Yao, Jiaqi, et al.
Publicado: (2024)

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
por: Rao, Xuan, et al.
Publicado: (2025)

Layered Quantum Architecture Search for 3D Point Cloud Classification
por: Meli, Natacha Kuete, et al.
Publicado: (2026)

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

On Quantum Perceptron Learning via Quantum Search
por: Sun, Xiaoyu, et al.
Publicado: (2025)

Depth-Based Matrix Classification for the HHL Quantum Algorithm
por: Danza, Mark, et al.
Publicado: (2025)

KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
por: Kundu, Akash, et al.
Publicado: (2024)

Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing
por: Qi, Jun, et al.
Publicado: (2026)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
por: Zada, Moustafa
Publicado: (2025)

Learning to Concatenate Quantum Codes
por: Meyer, Nico, et al.
Publicado: (2026)

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
por: Caro, Matthias C.
Publicado: (2022)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
por: Heese, Raoul, et al.
Publicado: (2023)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
por: Meyer, Nico, et al.
Publicado: (2024)

Quantum Circuit Training with Growth-Based Architectures
por: Duffy, Callum, et al.
Publicado: (2024)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
por: Meyer, Nico, et al.
Publicado: (2025)

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
por: Miroszewski, Artur, et al.
Publicado: (2024)

Benchmarking Quantum Reinforcement Learning
por: Meyer, Nico, et al.
Publicado: (2025)