QASMBench
Canonical5papers using it
2024first seen
QASMBench is a benchmarking initiative used to evaluate quantum algorithms in the context of combinatorial optimization problems.
Papers using QASMBench (5)
- Variational and Annealing-Based Approaches to Quantum Combinatorial OptimizationFinding trail covers: near-optimal decompositions of graph states as linear fusion networksSparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State RepresentationsDiaQ: Efficient State-Vector Quantum SimulationArctic: A Field Programmable Quantum Array Scheduling Technique