Market Split
Multi-dimensional Subset Sum
These instances stress multi-constraint subset-sum structure, where feasibility is easy to state but difficult to certify at useful sizes.
- Instances
- 156
- Submissions
- 5
- Results
- 121
Quantum Optimization Benchmarking Library
QOBLIB collects ten challenging optimization problem classes with practical motivation, reference models, known solutions, and community-submitted results.
Contribute results
Have a better bound, a new feasible solution, a quantum run, or a useful negative result? QOBLIB accepts benchmark submissions by pull request using the canonical summary CSV template.
Each card links to generated repository summaries and source files for the corresponding benchmark class.
Multi-dimensional Subset Sum
These instances stress multi-constraint subset-sum structure, where feasibility is easy to state but difficult to certify at useful sizes.
Low Autocorrelation Binary Sequences
LABS is a canonical spin benchmark with direct links to communications, radar, and cryptography, and it becomes difficult as sequence length grows.
Doubly Stochastic Matrix Decomposition
Minimum Birkhoff decomposition connects assignment structure, sparse representation, and quantum physics applications through a hard cardinality objective.
VLSI Design / Wire Routing
Steiner tree packing models wire routing pressure in VLSI-style grids, where many connection demands must coexist without conflicts.
Constraint Satisfaction Problem
Sports timetabling captures realistic constraint interactions from round-robin tournaments and includes instances selected for diversity and difficulty.
Multi-period with Transaction Costs & Short Selling
Portfolio instances add transaction costs, short selling, borrowing costs, and time coupling to a familiar financial optimization model.
Unweighted MIS
Maximum independent set is a fundamental graph problem with compact QUBO structure and hard instances from social, biological, and benchmark graphs.
Telecommunications Network Planning
Network design represents traffic-routing and degree-constrained infrastructure planning, with objective values tied to congestion.
VRP: TSP + Time Window + Knapsack
Vehicle routing combines route selection, capacity, and time-window pressure, reflecting core logistics and mobility applications.
Graph Golf / Node-Degree-Diameter Problem
Topology design asks for low-diameter graphs under degree limits, a concise model for communication latency and network architecture.
Difficulty summaries from the QOBLIB paper data included in the repository.