Cover Image

Transformer-Based Neural Quantum Digital Twins for Many-Body Quantum Simulation and Optimal Annealing Schedule Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Jianlong, Peng, Hanqiu, Chen, Ying
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Emerging Technologies
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
by: Osaba, Eneko, et al.
Published: (2025)

Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)

Universal Quantum Transformer
by: Chung, Sungyong, et al.
Published: (2026)

Quantum Annealing for Staff Scheduling in Educational Environments
by: Ciacco, Alessia, et al.
Published: (2025)

Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations
by: Sinha, Pranav, et al.
Published: (2025)

Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
by: Lipardi, Vincenzo, et al.
Published: (2025)

Hyperdimensional Quantum Factorization
by: Poduval, Prathyush, et al.
Published: (2024)

Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share
by: Osaba, Eneko, et al.
Published: (2025)

Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
by: Abel, Steven, et al.
Published: (2026)

Quantum Annealing Hyperparameter Analysis for Optimal Sensor Placement in Production Environments
by: Kraus, Nico, et al.
Published: (2025)

Solving Distributed Flexible Job Shop Scheduling Problems in the Wool Textile Industry with Quantum Annealing
by: Toma, Lilia, et al.
Published: (2024)

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2023)

Variational and Annealing-Based Approaches to Quantum Combinatorial Optimization
by: Hawashin, Hala, et al.
Published: (2026)

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)

KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
by: Apak, Boran, et al.
Published: (2024)

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
by: Romero, Sebastián V., et al.
Published: (2023)

Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?
by: Bertl, Markus, et al.
Published: (2025)

Component Based Quantum Machine Learning Explainability
by: White, Barra, et al.
Published: (2025)

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

Assessing Quantum Annealing to Solve the Minimum Vertex Multicut
by: Abbassi, Ali, et al.
Published: (2026)

Solving the Turbine Balancing Problem using Quantum Annealing
by: Unterauer, Arnold, et al.
Published: (2024)

Synthetic Aperture Radar Image Segmentation with Quantum Annealing
by: Presles, Timothe, et al.
Published: (2023)

A Hybrid Classical-Quantum Annealing Algorithm for the TSP
by: Hu, Siwei, et al.
Published: (2026)

Reverse Map Projections as Equivariant Quantum Embeddings
by: Arnott, Max, et al.
Published: (2024)

QTIS: A QAOA-Based Quantum Time Interval Scheduler
by: Tirado-Domínguez, José A., et al.
Published: (2025)

An Analysis of Quantum Annealing Algorithms for Solving the Maximum Clique Problem
by: Gherardi, Alessandro, et al.
Published: (2024)

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

Quantum Data Center: Perspectives
by: Liu, Junyu, et al.
Published: (2023)

Advanced Quantum Annealing Approach to Vehicle Routing Problems with Time Windows
by: Holliday, James B., et al.
Published: (2025)

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

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

Learning to Measure Quantum Neural Networks
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

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

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

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

Applying Quantum Autoencoders for Time Series Anomaly Detection
by: Frehner, Robin, et al.
Published: (2024)

Exponential Quantum Speedup for Simulation-Based Optimization Applications
by: Stein, Jonas, et al.
Published: (2023)

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
by: Apte, Anuj, et al.
Published: (2025)

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
by: Li, Bacui, et al.
Published: (2024)