Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games
Fuente:
arXiv
Saved in:
| Main Authors: | Nüßlein, Jonas, Schuman, Daniëlle, Bucher, David, Mohseni, Naeimeh, Ghosh, Kumar, O'Meara, Corey, Cortiana, Giorgio, Linnhoff-Popien, Claudia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Demonstrating Quantum Scaling Advantage in Approximate Optimization for Energy Coalition Formation with 100+ Agents
by: Mohseni, Naeimeh, et al.
Published: (2024)
by: Mohseni, Naeimeh, et al.
Published: (2024)
Evaluating Quantum Optimization for Dynamic Self-Reliant Community Detection
by: Bucher, David, et al.
Published: (2024)
by: Bucher, David, et al.
Published: (2024)
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024)
by: Rohe, Tobias, et al.
Published: (2024)
Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
by: Bucher, David, et al.
Published: (2025)
by: Bucher, David, et al.
Published: (2025)
Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum Optimization
by: Bucher, David, et al.
Published: (2023)
by: Bucher, David, et al.
Published: (2023)
Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility Prospects
by: Blenninger, Jonas, et al.
Published: (2024)
by: Blenninger, Jonas, et al.
Published: (2024)
Reducing QUBO Density by Factoring Out Semi-Symmetries
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Towards Robust Benchmarking of Quantum Optimization Algorithms
by: Bucher, David, et al.
Published: (2024)
by: Bucher, David, et al.
Published: (2024)
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
by: Schuman, Daniëlle, et al.
Published: (2023)
by: Schuman, Daniëlle, et al.
Published: (2023)
Efficient QAOA Architecture for Solving Multi-Constrained Optimization Problems
by: Bucher, David, et al.
Published: (2025)
by: Bucher, David, et al.
Published: (2025)
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)
by: Schuman, Daniëlle, et al.
Published: (2025)
Sampling Problems on a Quantum Computer
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)
Constrained Quantum Optimization at Utility Scale: Application to the Knapsack Problem
by: Mohseni, Naeimeh, et al.
Published: (2026)
by: Mohseni, Naeimeh, et al.
Published: (2026)
CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA
by: Stein, Jonas, et al.
Published: (2024)
by: Stein, Jonas, et al.
Published: (2024)
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Conditions for a quadratic quantum speedup in nonlinear transforms with applications to energy contract pricing
by: Agliardi, Gabriele, et al.
Published: (2023)
by: Agliardi, Gabriele, et al.
Published: (2023)
Quantum Optimization Methods for the Generalized Traveling Salesman Problem
by: Zorn, Maximilian, et al.
Published: (2026)
by: Zorn, Maximilian, et al.
Published: (2026)
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers
by: Roshani, Navid, et al.
Published: (2024)
by: Roshani, Navid, et al.
Published: (2024)
Long Range Frequency Tuning for QML
by: Poppel, Michael, et al.
Published: (2026)
by: Poppel, Michael, et al.
Published: (2026)
Exponential Quantum Speedup for Simulation-Based Optimization Applications
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs
by: Zielinski, Sebastian, et al.
Published: (2024)
by: Zielinski, Sebastian, et al.
Published: (2024)
Boosting Sparsity in Graph Decompositions with QAOA Sampling
by: Pennington, George, et al.
Published: (2025)
by: Pennington, George, et al.
Published: (2025)
A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling
by: Agliardi, Gabriele, et al.
Published: (2024)
by: Agliardi, Gabriele, et al.
Published: (2024)
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data
by: Agliardi, Gabriele, et al.
Published: (2024)
by: Agliardi, Gabriele, et al.
Published: (2024)
Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Bridging the Gap to Next Generation Power System Planning and Operation with Quantum Computation
by: Ganeshamurthy, Priyanka Arkalgud, et al.
Published: (2024)
by: Ganeshamurthy, Priyanka Arkalgud, et al.
Published: (2024)
Quantum Computing -- Strategic Recommendations for the Industry
by: Erdmann, Marvin, et al.
Published: (2026)
by: Erdmann, Marvin, et al.
Published: (2026)
A Lie Theoretic Framework for Controlling Open Quantum Systems
by: O'Meara, Corey
Published: (2025)
by: O'Meara, Corey
Published: (2025)
Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
by: Hernicht, Philip Anton, et al.
Published: (2025)
by: Hernicht, Philip Anton, et al.
Published: (2025)
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
by: Ganeshamurthy, Priyanka Arkalgud, et al.
Published: (2024)
by: Ganeshamurthy, Priyanka Arkalgud, et al.
Published: (2024)
Swarm Behavior Cloning
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
GTQCP: Greedy Topology-Aware Quantum Circuit Partitioning
by: Clark, Joseph, et al.
Published: (2024)
by: Clark, Joseph, et al.
Published: (2024)
IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization
by: Bucher, David, et al.
Published: (2025)
by: Bucher, David, et al.
Published: (2025)
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
by: Ghosh, Archisman, et al.
Published: (2024)
by: Ghosh, Archisman, et al.
Published: (2024)
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks
by: Das, Hritom, et al.
Published: (2023)
by: Das, Hritom, et al.
Published: (2023)
A Physically-Informed Subgraph Isomorphism Approach to Molecular Docking Using Quantum Annealers
by: Micucci, Francesco, et al.
Published: (2026)
by: Micucci, Francesco, et al.
Published: (2026)
Solving the Turbine Balancing Problem using Quantum Annealing
by: Unterauer, Arnold, et al.
Published: (2024)
by: Unterauer, Arnold, et al.
Published: (2024)
Similar Items
-
Demonstrating Quantum Scaling Advantage in Approximate Optimization for Energy Coalition Formation with 100+ Agents
by: Mohseni, Naeimeh, et al.
Published: (2024) -
Evaluating Quantum Optimization for Dynamic Self-Reliant Community Detection
by: Bucher, David, et al.
Published: (2024) -
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024) -
Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
by: Bucher, David, et al.
Published: (2025) -
Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum Optimization
by: Bucher, David, et al.
Published: (2023)