The field of quantum computing and optimization is rapidly advancing, with a focus on developing practical solutions for real-world problems. Recent research has explored the application of quantum algorithms to complex optimization problems, such as resource scheduling and network optimization. Quantum-inspired evolutionary optimizers have also shown promise in solving large-scale combinatorial optimization problems. Additionally, there is a growing interest in developing hybrid quantum-classical algorithms that can leverage the strengths of both paradigms. Noteworthy papers in this area include the development of a novel qubit mapping algorithm, which has demonstrated significant improvements in circuit depth and swap count, and the introduction of a hybrid quantum-classical algorithm for resource scheduling, which has achieved a consistently lower computation-time growth rate and maintained an absolute optimality gap below 1.63%. Other notable works include the investigation of performance and scalability of a quantum-inspired evolutionary optimizer on NVIDIA GPU and the design of quasi phase matching crystal based on differential gray wolf algorithm.
Quantum Computing and Optimization Advances
Sources
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions
Empirical Studies on Quantum Optimization for Software Engineering: A Systematic Analysis
A Comparative Study of Hybrid Post-Quantum Cryptographic X.509 Certificate Schemes
Towards Quantum Algorithms for the Optimization of Spanning Trees: The Power Distribution Grids Use Case
Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem
Quantum Computing for EVs to Enhance Grid Resilience and Disaster Relief: Challenges and Opportunities
Towards Portability at Scale: A Cross-Architecture Performance Evaluation of a GPU-enabled Shallow Water Solver
Quantum Network Tomography for General Topology with SPAM Errors
Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU
Design of quasi phase matching crystal based on differential gray wolf algorithm
Cobble: Compiling Block Encodings for Quantum Computational Linear Algebra
Fast Algorithms for Scheduling Many-body Correlation Functions on Accelerators
Spectral Certificates and Sum-of-Squares Lower Bounds for Semirandom Hamiltonians
Enhancing NTRUEncrypt Security Using Markov Chain Monte Carlo Methods: Theory and Practice
Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
Implementing Multi-GPU Scientific Computing Miniapps Across Performance Portable Frameworks