Dariusz Lasecki
Dariusz Lasecki
This PR adds a library with the Quantum Approximate Optimization Algorithm (QAOA) written in Q#. It supports problems that can be encoded into 1-local and/or 2-local Hamiltonians. Additionally, it offers...
As confirmed with @cgranade, Microsoft Quantum Libraries lack the implementation of the Quantum Approximate Optimization Algorithm (QAOA, https://arxiv.org/pdf/1411.4028.pdf). There is a problem-specific implementation in Q# available [here](http://quantumalgorithmzoo.org/traveling_santa/). A general implementation...
**Summary** This PR introduces Variational Quantum Time Evolution algorithms, imaginary and real, to the algorithms module. It uses variational principles: real McLachlan's, imaginary McLachlan's and real Time Dependent. It is...
- not used by any application and if we'll ever be able to apply it at scale, it would require a complete re-write - might be migrated to Qiskit Research
- not used by any application and if we'll ever be able to apply it at scale, it would require a complete re-write - might be migrated to Qiskit Textbook
- Check if phase fix is necessary. - Check if imaginary parts are handled correctly.