Cover Image

Solving graph problems using permutation-invariant quantum machine learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mansky, Maximilian Balthasar, Rohe, Tobias, Stenzel, Gerhard, de la Serna, Alejandro Bravo, Castillo, Santiago Londoño, Sathish, Gautham, Nikolaidou, Dimitra, Bondarenko, Dmytro, Menzel, Linus, Linnhoff-Popien, Claudia
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysis of quantum neural network performance via edge cases
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Clique detection using symmetry-restricted quantum circuits
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Scaling of symmetry-restricted quantum circuits
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)

A Constant Measurement Quantum Algorithm for Graph Connectivity
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances
by: Rohe, Tobias, et al.
Published: (2025)

Symmetry-restricted quantum circuits are still well-behaved
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)

Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025)

Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)

Quantum King-Ring Domination in Chess: A QAOA Approach
by: Stenzel, Gerhard, et al.
Published: (2026)

Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)

Quality Diversity for Variational Quantum Circuit Optimization
by: Zorn, Maximilian, et al.
Published: (2025)

Detrimental Agnostic Entanglement: The Case Against Hardware-Efficient Ansätze for Combinatorial Optimization
by: Rohe, Tobias, et al.
Published: (2026)

Sampling Problems on a Quantum Computer
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)

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

Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)

An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2026)

Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)

From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware
by: Rohe, Tobias, et al.
Published: (2024)

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
by: Rohe, Tobias, et al.
Published: (2025)

Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2025)

Parity Supervision as a Driver of Generalization in Quantum Generative Modeling
by: Baumann, Markus, et al.
Published: (2026)

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024)

Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
by: Rohe, Tobias, et al.
Published: (2025)

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)

Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data
by: Rohe, Tobias, et al.
Published: (2024)

Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)

PIMAEX: Multi-Agent Exploration through Peer Incentivization
by: Kölle, Michael, et al.
Published: (2025)

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

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025)

Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
by: Stein, Jonas, et al.
Published: (2023)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)

Quantum Computer Benchmarking: An Explorative Systematic Literature Review
by: Rohe, Tobias, et al.
Published: (2025)

Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
by: Nüßlein, Jonas, et al.
Published: (2024)

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

Swarm Behavior Cloning
by: Nüßlein, Jonas, et al.
Published: (2024)

Efficient QAOA Architecture for Solving Multi-Constrained Optimization Problems
by: Bucher, David, et al.
Published: (2025)

Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes
by: Röhe, Maximilian
Published: (2024)

Solving Max-3SAT Using QUBO Approximation
by: Zielinski, Sebastian, et al.
Published: (2024)