nahumsa / volta

Library to create faster workflows for variational algorithms and quantum simulations using qiskit.

volta

This is a library that I started developing to create faster workflows, firstly for variational quantum algorithms, using qiskit.

The main feature is the volta.observables.sample_hamiltonian which enables you to do easy evaluation of the expectation value for a hamiltonian defined using opflow and a quantum circuit.

I plan to implement Hamiltonian Simulation algorithms as well as noise mitigation for this package.

Variational Quantum Algorithms

• Variational Quantum Deflation based on https://arxiv.org/abs/1805.08138.
• Subspace-search variational quantum eigensolver for excited states based on https://arxiv.org/abs/1810.09434.

SWAP test

• SWAP test using controlled swaps;
• Destructive SWAP test;

Hamiltonian Simulation

Error Mitigation

volta's Issues

Quantum instance not working properly after qiskit's update

After qiskit's 0.25.x release, when running the tests with qiskit.utils.QuantumInstance there is an Attribute error: AttributeError: 'QuantumInstance' object has no attribute 'properties'

Update qiskit version

Update the code to use qiskit 0.25.x

Add amplitude transition to swap tests

Add amplitude transition in order to verify the overlap between two states (quantum circuits) which was proposed in Nature volume 567, pages209–212 (2019).

Add CI

Add CI using nox or tox and github actions.

Add a license to the repository

I recently came across your project volta and I noticed that the repository github.com/nahumsa/volta currently does not have a license specified.

Why Adding a License is Important?

As GitHub documents

Public repositories on GitHub are often used to share open source software. For your repository to truly be open source, you'll need to license it so that others are free to use, change, and distribute the software.

Would be possible to add a valid license to this repository? Probably something really OpenSource such as the Apache 2.0 license would fit really well.

Thanks!

Tests failing stochastichaly

Issue

The VQD tests are failing sometimes, mainly because of choosing random parameters for the optimization.

Even though they are failing they are pretty close to the solution, for instance: 0.0 != -0.06697999999999998.

Possible solutions

One possible solution is to put decimal_place = 0

Add Hamiltonian Simulation

Add Hamiltonian Simulation algorithms.

Add documentation

Add documentation and readme for this repository.