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Description:

purplecaffeine 0.2.5

PurpleCaffeine: tracking of quantum programs and experiments

Tracking experiments and programs is known problem in scientific community.
This project is aimed to create simple general interface to track quantum experiments, store and search them in an easy way.
Table of Contents
For Users

Quickstart
Source Code Installation
Documentation
Guides
How to Give Feedback
Contribution Guidelines
References and Acknowledgements
License

Quickstart
pip install purplecaffeine

from qiskit.circuit.random import random_circuit
from qiskit.quantum_info.random import random_pauli
from qiskit.primitives import Estimator

from purplecaffeine.core import Trial, LocalStorage
from purplecaffeine.widget import Widget

n_qubits = 4
depth = 3
shots = 2000

circuit = random_circuit(n_qubits, depth)
obs = random_pauli(n_qubits)

local_storage = LocalStorage("./")

with Trial("Example trial", storage=local_storage) as trial:
# track some parameters
trial.add_parameter("estimator", "qiskit.primitives.Estimator")
trial.add_parameter("depth", depth)
trial.add_parameter("n_qubits", n_qubits)
trial.add_parameter("shots", shots)

# track objects of interest
trial.add_circuit("circuit", circuit)
trial.add_operator("obs", obs)

# run
exp_value = Estimator().run(circuit, obs, shots=shots).result().values.item()

# track results of run
trial.add_metric("exp_value", exp_value)

Widget(local_storage).show()

Source Code Installation
If you want to install from source code, execute while in the root folder of the project:
cd client
pip install .

Documentation
Documentation for project is hosted at https://icekhan13.github.io/purplecaffeine/

How to Give Feedback
We encourage your feedback! You can share your thoughts with us by:

Opening an issue in the repository

Contribution Guidelines
For information on how to contribute to this project, please take a look at our contribution guidelines.

References and Acknowledgements
[1] Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
https://github.com/Qiskit/qiskit

License
Apache License 2.0