Quantum Kernel Alignment
Quantum computers allow to evaluate kernels to be used in Support Vector Machines (SVM) on exponentially large feature spaces. The QKA Runtime allows to align to and evaluate the kernel for given data in the cloud and uses is it for classification tasks such as fraud detection.
Variational Quantum Eigensolver
Find the ground state of a Hamiltonian via a parametrized quantum circuit. A classical optimizer is used to find the circuit parameters. Applictions ranges from finding groundstates in quantum chemistry, to finding solutions to combinatorial optimization problems.
Quantum Approximate Optimization Algorithm
A variant of the above particularly suited for combinatorial optimization where the circuits are constructed with some convergence guarantees if the circuits could be made long enough.
Your Awesome Program
In addition to using the built-in programs, you can come up with your own Qiskit Runtime programs that can help you and others accelerate their research. Much like the existing built-in programs, your new program will benefit the most from the Qiskit Runtime architecture if it requires iterative quantum/classical processing.
