QUICK-PDE
ColibriTD
Solve partial differential equations and complex multi-physics problems with IBM Quantum QPUs.
Qiskit Functions Catalog
Functions are abstracted services designed to accelerate application research. Premium, Dedicated service, or Flex Plan users can get started today with the IBM Circuit function or request a free trial for others.
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Application functions
Integrate quantum into your application workflows, with problem-specific classical inputs and outputs.
Quantum Portfolio Optimizer
Global Data Quantum
Experiment optimal investment strategies across dynamic portfolio optimization problems.
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.
Singularity Machine Learning
Multiverse Computing
Solve real-world classification problems on quantum hardware without requiring quantum expertise.
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.
Circuit functions
Simplify application research with pre-built tools to help with transpilation, error mitigation, and suppression.
Compute accurate expectation values on QPUs, with AI-powered circuit optimization, and advanced error mitigation methods.
Tensor-Network Error Mitigation
Algorithmiq
Tensor-network error mitigation with low shot overhead and reduced runtime usage.
Accurate results for large circuit volumes using characterization, transpilation, error suppression and unbiased mitigation.
Performance Management
Q-CTRL
Reduce errors without sampling overhead, with automated, AI-driven error suppression.
Quantum Portfolio Optimizer
Global Data QuantumGenerate optimal investment strategies in dynamic portfolio optimization problems. This function empowers users — regardless of their quantum computing expertise — to execute cutting-edge quantum optimizations on real hardware. It requires only domain-specific inputs, such as historical or expected asset prices in the portfolio, and provides targeted outputs, like the optimized investment trajectory and key financial indicators, including expected return and Sharpe ratio.
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Features and benefits
Wide range of optimal investment strategies
Get multiple optimized strategies particularly adapted to your goals and volatility profile.
Efficient and scalable optimizer
Featuring ansatzes tailored for IBM QPUs and differential evolution (with 20x speedup).
Consistent optimization
Delivers high-quality hybrid quantum-classical solutions close to classical optimizer standards, with error postprocessing for consistency.
Related tutorials
Learn how to apply this technology to your workflow.
Related papers
Scientific papers related to or supporting this function.
- Scaling the Variational Quantum Eigensolver for Dynamic Portfolio OptimizationNodar, Á., De León, I. | 2412.19150v2 (2025)
