Solve constrained optimization problems directly from standard formats, with constraints enforced by XY-mixers instead of penalty terms.
Qiskit Functions Catalog
Functions are abstracted services designed to accelerate application research. Premium, On-prem, or Flex Plan users can get started today by requesting a free trial for their desired function.
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Application functions
Integrate quantum into your application workflows, with problem-specific classical inputs and outputs.
Dynamics Simulator
Q-CTRL
Simulate quantum system dynamics with a high-level definition. Auto-trotterize and run time-evolution while hardware-level error suppression delivers reliable accuracy.
HI-VQE Chemistry
Qunova Computing
Solve approximate molecular ground states using an iterative subspace diagonalization, with computational efficiency and accuracy
Iskay Quantum Optimizer
Kipu Quantum
Automated workflow to solve optimization problems up to 156Q, leveraging circuit compression and counterdiabatic protocols.
Optimization Solver
Q-CTRL
Solve optimization problems at full device size (156Q) from high-level inputs, automatically & efficiently achieving high-accuracy results at utility-scale.
Parity Twine Optimizer
ParityQC
Highly efficient compilation for quantum optimization, minimizing circuit depth and two-qubit gate overhead so larger, denser problems run on real hardware today.
Quantum Portfolio Optimizer
Global Data Quantum
Experiment optimal investment strategies across dynamic portfolio optimization problems.
QUICK-PDE
ColibriTD
Solve partial differential equations and complex multi-physics problems with IBM Quantum QPUs.
Singularity Machine Learning
Multiverse Computing
Solve real-world classification problems on quantum hardware without requiring quantum expertise.
SQOASolver
JIJ
Solve optimization problems with more variables than qubits on IBM Quantum QPUs, using a hybrid workflow with built-in preprocessing and postprocessing.
Circuit functions
Simplify application research with pre-built tools to help with transpilation, error mitigation, and suppression.
Orbit
Quantum Elements
Apply low-overhead dynamical decoupling to improve circuit performance on IBM Quantum hardware.
Performance Management
Q-CTRL
Reduce errors without sampling overhead, with automated, AI-driven error suppression.
Accurate results for large circuit volumes using characterization, transpilation, and unbiased mitigation.
Tensor-Network Error Mitigation
Algorithmiq
Tensor-network error mitigation with low shot overhead and reduced runtime usage.
Constrained Quantum Optimizer
AqariosSolve constrained optimization problems from LP, MPS, or Luna Model input using warm-started, fixed-angle QAOA with XY-mixers to natively enforce one-hot and set-packing constraints. Other constraint types are handled automatically, with penalty strengths derived from the problem structure rather than tuned by hand.
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Features and benefits
No Manual Reformulation
Accepts LP, MPS, or Luna Model input and handles reformulation, synthesis, and transpilation automatically.
Native Constraint Enforcement
XY-mixers natively enforce one-hot and set-packing constraints, avoiding costly penalty terms.
No Variational Training
Iterative warm-starting with fixed-angle QAOA removes the need for parameter optimization loops.
Related tutorials
Learn how to apply this technology to your workflow.
Related papers
Scientific papers related to or supporting this function.
- Constrained Quantum Optimization via Iterative Warm-Start XY-MixersBucher, D., Janetschek, M. et al. | 2604.02083 (2026)