Cover Image

Quantum Annealing for Combinatorial Optimization: Foundations, Architectures, Benchmarks, and Emerging Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Rudraksh, Katukam, Ravi, Nagulapally, Arjun
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging the Linear-Quadratic Gap: A Quantum-Classical Hybrid Approach to Robust Supply Chain Design
by: Sharma, Rudraksh, et al.
Published: (2026)

Symmetry-Preserving Variational Quantum Simulation of the Heisenberg Spin Chain on Noisy Quantum Hardware
by: Sharma, Rudraksh
Published: (2025)

Quantum Phase Transitions in the Transverse-Field Ising Model: A Comparative Study of Exact, Variational, and Hardware-Based Approaches
by: Sharma, Rudraksh
Published: (2026)

Quantum Annealing for Combinatorial Optimization: A Benchmarking Study
by: Kim, Seongmin, et al.
Published: (2025)

Cutting Slack: Quantum Optimization with Slack-Free Methods for Combinatorial Benchmarks
by: Sharma, Monit, et al.
Published: (2025)

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

A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems
by: Sharma, Monit, et al.
Published: (2025)

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

QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
by: Nayak, Nitin, et al.
Published: (2024)

Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice
by: Schwägerl, Tim, et al.
Published: (2024)

A Benchmarking Study of Quantum Algorithms for Combinatorial Optimization
by: Sankar, Krishanu, et al.
Published: (2021)

Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
by: Sharma, Monit, et al.
Published: (2025)

ILP-based Resource Optimization Realized by Quantum Annealing for Optical Wide-area Communication Networks -- A Framework for Solving Combinatorial Problems of a Real-world Application by Quantum Annealing
by: Witt, Arthur, et al.
Published: (2024)

Encoding Matters: Benchmarking Binary and D-ary Representations for Quantum Combinatorial Optimization
by: Bhat, Shashank Sanjay, et al.
Published: (2026)

Benchmarking Metaheuristic-Integrated QAOA against Quantum Annealing
by: Mazumder, Arul Rhik, et al.
Published: (2023)

Exploring Quantum Annealing Architectures: A Spin Glass Perspective
by: Jaumà, Gabriel, et al.
Published: (2023)

Combinatorial Optimization with Quantum Computers
by: Chicano, Francisco, et al.
Published: (2024)

Multi-Objective Optimization by Quantum-Annealing-Inspired Algorithms
by: Tao, Xian-Zhe, et al.
Published: (2026)

Designing Quantum Annealing Schedules using Bayesian Optimization
by: Finžgar, Jernej Rudi, et al.
Published: (2023)

Quantum-Guided Cluster Algorithms for Combinatorial Optimization
by: Eder, Peter J., et al.
Published: (2025)

Recursive Quantum Relaxation for Combinatorial Optimization Problems
by: Kondo, Ruho, et al.
Published: (2024)

Quantum Dueling: an Efficient Solution for Combinatorial Optimization
by: Tang, Letian, et al.
Published: (2023)

Noise Robustness of Quantum Relaxation for Combinatorial Optimization
by: Tamura, Kentaro, et al.
Published: (2024)

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

Benchmarking Quantum Annealing for a Greenhouse-Inspired Control QUBO
by: Alavirad, Hamzeh, et al.
Published: (2026)

Quantum Integrated High-Performance Computing: Foundations, Architectural Elements and Future Directions
by: Raj, Suman, et al.
Published: (2026)

The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers
by: Chandarana, Pranav, et al.
Published: (2026)

Protein Design by Integrating Machine Learning with Quantum Annealing and Quantum-inspired Optimization
by: Panizza, Veronica, et al.
Published: (2024)

Variational Quantum Algorithms for Combinatorial Optimization
by: Perez-Ramirez, Daniel F
Published: (2024)

Experimental Workflows for Combinatorial Optimization: Towards Quantum Advantage
by: Angara, Prashanti Priya, et al.
Published: (2026)

Variational Quantum Algorithm for Constrained Combinatorial Optimization Problems
by: Li, Hui-Min, et al.
Published: (2026)

Performance Benchmarking of Quantum Algorithms for Hard Combinatorial Optimization Problems: A Comparative Study of non-FTQC Approaches
by: Kikuura, Santaro, et al.
Published: (2024)

Solving Combinatorial Optimization Problems with a Block Encoding Quantum Optimizer
by: Bärligea, Adelina, et al.
Published: (2024)

A Quantum Approximate Optimization Algorithm-based Decoder Architecture for NextG Wireless Channel Codes
by: Kasi, Srikar, et al.
Published: (2024)

Quantum Approximate Optimization Algorithm in Finite Size and Large Depth and Equivalence to Quantum Annealing
by: Boulebnane, Sami, et al.
Published: (2025)

Variational Quantum Annealing for Quantum Chemistry
by: Yip, Ka-Wa, et al.
Published: (2025)

Trust Region Bayesian Optimization of Annealing Schedules on a Quantum Annealer
by: Jeong, Seon-Geun, et al.
Published: (2025)

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines
by: Kikuchi, Shuta, et al.
Published: (2025)

Quantum-enhanced Markov Chain Monte Carlo for Combinatorial Optimization
by: Marshall, Kate V., et al.
Published: (2026)

SCOOP: A Quantum-Computing Framework for Constrained Combinatorial Optimization
by: Angara, Prashanti Priya, et al.
Published: (2025)