The most

feature-rich

quantum computing SDK

The Qiskit Finance package contains components to load uncertainty models, e.g., for pricing securities/derivatives or analyzing the risk involved. It also contains data providers to source real or random data to finance experiments and together with the Qiskit Optimization package allows easy modeling of optimization problems as arising e.g. in portfolio management.

The Qiskit Machine Learning package simply contains sample datasets at present. Qiskit has some classification algorithms such as QSVM (Quantum Support Vector Machine) and VQC (Variational Quantum Classifier), where this data can be used for experiments, and there is also QGAN (Quantum Generative Adversarial Network) algorithm.

The Qiskit Chemistry package supports problems including ground state energy computations, excited states and dipole moments of molecule, both open and closed-shell.

VQE (Variational Quantum Eigensolver) is another well known quantum algorithm part of the minimum eigensolvers category. This algorithm uses variational techniques and interleaves quantum and classical computations in order to find the minimum eigenvalue of the Hamiltonian of a given system.

QAOA (Quantum Approximate Optimization Algorithm) is also part of the minimum eigensolvers category. This algorithm extends VQE (Variational Quantum Eigensolver) and inherits VQE's general optimization structure but uses its own fine-tuned variational form.

QSVM is part of the classifiers category and applies to problems that require a feature map for which computing the collection of inner products is not efficient classically.

Qiskit's verification framework provides experiments that are designed to verify gates and small circuit performance through tomography, quantum volume and randomized benchmarking.

Qiskit's calibration module allows users to optimize pulse parameters to minimize errors. Perform simple parameter scans, with more sophisticated error amplification sequences coming soon.

Circuit Library is a collection of well studied circuits and gates that can be plugged into many experiments allowing users to program at higher levels of abstraction when developing and experimenting with circuits.

Pulse is a lower level quantum programming tool. This tool allows users more control over using quantum circuits when interacting with real quantum hardware.

A visualization package for Qiskit that focuses on interactive visualizations for quantum states, distributions, and device properties.

Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature.