Cover Image

Demonstrating Quantum Scaling Advantage in Approximate Optimization for Energy Coalition Formation with 100+ Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohseni, Naeimeh, Morstyn, Thomas, O'Meara, Corey, Bucher, David, Nüßlein, Jonas, Cortiana, Giorgio
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games
by: Nüßlein, Jonas, et al.
Published: (2024)

Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility Prospects
by: Blenninger, Jonas, et al.
Published: (2024)

Evaluating Quantum Optimization for Dynamic Self-Reliant Community Detection
by: Bucher, David, et al.
Published: (2024)

Constrained Quantum Optimization at Utility Scale: Application to the Knapsack Problem
by: Mohseni, Naeimeh, et al.
Published: (2026)

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)

Boosting Sparsity in Graph Decompositions with QAOA Sampling
by: Pennington, George, et al.
Published: (2025)

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

A Lie Theoretic Framework for Controlling Open Quantum Systems
by: O'Meara, Corey
Published: (2025)

A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling
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)

Reducing QUBO Density by Factoring Out Semi-Symmetries
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)

Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
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)

Energy risk analysis with Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling
by: Ghosh, Kumar J. B., et al.
Published: (2023)

Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
by: Polché, Mackenson, et al.
Published: (2026)

Roland Barthes at the Collège de France
by: O'Meara, Lucy
Published: (2017)

The Surprising Non-Triviality of Sharing a Sandwich with Two Other People
by: O'Meara, John
Published: (2024)

Traffic‐habits and local descent groups: Broadening the scope of ethnographic research into land rights after land claims
by: Dayne O'Meara
Published: (2025)

Quantum Computing in the Computational Landscape of Power Electronics: Vision and Reality
by: Paterakis, Nikolaos G., et al.
Published: (2025)

Breaking concentration barriers for quantum extreme learning on digital quantum processors
by: Dao, Timothée, et al.
Published: (2026)

Portrait of a Graduate and the National School Library Standards
by: Ehler-Hansen, Deborah, et al.
Published: (2019)

Ant communities respond to a large‐scale disturbance along an elevational gradient in Puerto Rico, U.S.A.
by: Shannon O'Meara, et al.
Published: (2024)

Conditions for a quadratic quantum speedup in nonlinear transforms with applications to energy contract pricing
by: Agliardi, Gabriele, et al.
Published: (2023)

Quantum Optimization Benchmarking Library - The Intractable Decathlon
by: Koch, Thorsten, et al.
Published: (2025)

dentist: Quantifying uncertainty by sampling points around maximum likelihood estimates
by: James D. Boyko, et al.
Published: (2024)

Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
by: Wagner, Friedrich, et al.
Published: (2023)

Scaling Advantage in Approximate Optimization with Quantum Annealing
by: Bauza, Humberto Munoz, et al.
Published: (2024)

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

Transfer learning in predicting quantum many-body dynamics: from physical observables to entanglement entropy
by: Schmidt, Philipp, et al.
Published: (2024)

Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023)

Scalable Multi-Level Optimization for Sequentially Cleared Energy Markets with a Case Study on Gas and Carbon Aware Unit Commitment
by: Xia, Yuxin, et al.
Published: (2025)

Hierarchical divide and conquer quantum approach to combinatorial optimization problems with tunable reduction
by: Schmid, Mathias, et al.
Published: (2025)

FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty
by: Zhou, Yihong, et al.
Published: (2025)

Revolutionising Role-Playing Games with ChatGPT
by: Stampfl, Rita, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems
by: Keren, Sarah, et al.
Published: (2024)

Large Language Model Interface for Home Energy Management Systems
by: Michelon, François, et al.
Published: (2025)

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
by: Shaydulin, Ruslan, et al.
Published: (2023)

GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
by: Zhou, Yihong, et al.
Published: (2026)