Imagen de Portada

Anubuddhi: A Multi-Agent AI System for Designing and Simulating Quantum Optics Experiments

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Rithvik, S. K.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evaluating Large Language Models on Quantum Mechanics: A Comparative Study Across Diverse Models and Tasks
por: Rithvik, S. K.
Publicado: (2025)

Quantum Agents for Algorithmic Discovery
por: Kerenidis, Iordanis, et al.
Publicado: (2025)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
por: Jaouni, Tareq, et al.
Publicado: (2023)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm
por: Innan, Nouhaila, et al.
Publicado: (2023)

Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
por: Kölle, Michael, et al.
Publicado: (2026)

Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference
por: Prakki, Rithvik
Publicado: (2024)

A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
por: Mohanty, Nishikanta, et al.
Publicado: (2024)

QARIMA: A Quantum Approach To Classical Time Series Analysis
por: Mohanty, Nishikanta, et al.
Publicado: (2026)

Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
por: Bhatia, Amandeep Singh, et al.
Publicado: (2024)

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
por: Suzuki, Ryo, et al.
Publicado: (2026)

Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
por: Chen, Yixiong, et al.
Publicado: (2024)

Latent Style-based Quantum Wasserstein GAN for Drug Design
por: Baglio, Julien, et al.
Publicado: (2026)

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

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
por: Freinberger, Dominik, et al.
Publicado: (2026)

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer
por: Kunugi, Hayato, et al.
Publicado: (2026)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
por: Kumar, Rahul, et al.
Publicado: (2025)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
por: Kyriacou, Basil, et al.
Publicado: (2026)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
por: Willis, John M.
Publicado: (2024)

A Primer on Quantum Machine Learning
por: Chang, Su Yeon, et al.
Publicado: (2025)

Quantum Optimization for Training Quantum Neural Networks
por: Liao, Yidong, et al.
Publicado: (2021)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
por: Chen, Yiwei, et al.
Publicado: (2025)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
por: Chen, Yixiong
Publicado: (2026)

Quantum Phase Recognition via Quantum Attention Mechanism
por: Chen, Jin-Long, et al.
Publicado: (2026)

Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
por: Saggi, Mandeep Kaur, et al.
Publicado: (2024)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
por: Lin, Yu-Cheng, et al.
Publicado: (2025)

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

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
por: Rahman, Ratun, et al.
Publicado: (2025)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
por: Ordóñez, Sebastián Andrés Cajas, et al.
Publicado: (2025)

Quantum Flow Matching
por: Cui, Zidong, et al.
Publicado: (2025)

Soft-Quantum Algorithms
por: Kyriacou, Basil, et al.
Publicado: (2026)

TabularQGAN: A Quantum Generative Model for Tabular Data
por: Bhardwaj, Pallavi, et al.
Publicado: (2025)

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

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
por: Wang, Hanrui, et al.
Publicado: (2021)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
por: Xu, Yang, et al.
Publicado: (2025)

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
por: Aizpurua, Borja, et al.
Publicado: (2026)

Quantum computing and artificial intelligence: status and perspectives
por: Acampora, Giovanni, et al.
Publicado: (2025)

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
por: Kölle, Michael, et al.
Publicado: (2024)

Quantum-Assisted Correlation Clustering
por: Macaluso, Antonio, et al.
Publicado: (2025)

Quantum feature encoding optimization
por: Fioravanti, Tommaso, et al.
Publicado: (2025)