Metadata-Version: 2.1
Name: qiskitflow
Version: 0.0.5a0
Summary: QiskitFlow. Reproducible quantum experiments.
Home-page: https://github.com/IceKhan13/QiskitFlow
Author: Iskandar Sitdikov
Author-email: iskandar.sitdikov@gmail.com
License: UNKNOWN
Keywords: quantum computing,qiskit,experiments,reproducibility
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: Click (>=6)
Requires-Dist: requests (>=2.22.0)

QiskitFlow. Reproducible quantum experiments.
=============================================

![logo](https://raw.githubusercontent.com/IceKhan13/QiskitFlow/master/docs/images/logo-updated.gif)

Platform for tracking, sharing and running quantum experiments in a clean and understandable for developers, researchers and students manner.

> Alpha release is in the works. 
> Files from hackathon project are located in [hackathon folder](./hackathon)

### General overview

![flow](https://raw.githubusercontent.com/IceKhan13/QiskitFlow/master/docs/images/flow.png)


### Hot to run
* [Overview / Flow](#flow)
* [Installation](#installation)
* [Code annotation](#code-annotation)
* [CLI](#cli)
  * [Experiment runs list](#list-of-experiment-runs)
  * [Experiment run information](#experiment-run-information)
* [Examples](#examples)
* [UI Mocks](#mocks-of-upcoming-ui)

### Flow

Flow of actions while using QiskitFlow is following:
- [Install](#installation) QiskitFlow if not installed yet
- [Annotate](#code-annotation) your code with `Experiment` abstraction QiskitFlow library provides
- Run your code as usual: QiskitFlow will write metadata of your experiment execution in local folder 
- You can review experiments using [CLI interface](#cli)

> We are tracking metrics, parameters, artifacts and measurements of experiments. 
> Artifacts, circuits, sourcecode and other useful things are on their way.

> Note: qiskitflow creates `_experiments` folder in place of execution of code, where all serialized information is stored in json format, so it's easy to track it even in git 


### Installation

```shell script
pip install qiskitflow
```


### Code annotation

Library for quantum programs annotation

Sample example of annotation:
```python
from qiskitflow import Experiment

with Experiment("awesome_experiment") as experiment:

    # your quantum program here!

    experiment.write_metric("test metric", 0.1)
    experiment.write_metric("test metric 2", 2)

    experiment.write_parameter("test parameter", "test parameter value")
    experiment.write_parameter("test parameter 2", "test paraeter value 2")

    experiment.write_counts("measurement", {"00": 1024, "11": 0})
```

<details><summary>Full example with quantum teleportation</summary>
<p>

```python
import numpy as np
import time
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, BasicAer, IBMQ
from qiskit.visualization import plot_histogram, plot_bloch_multivector
from qiskit.extensions import Initialize
from qiskit_textbook.tools import random_state, array_to_latex

from qiskitflow import Experiment

with Experiment("quantum teleportation") as experiment:
    start_time = time.time()

    # conduct experiment as usual
    psi = random_state(1)
    init_gate = Initialize(psi)
    init_gate.label = "init"
    inverse_init_gate = init_gate.gates_to_uncompute()

    qr = QuantumRegister(3, name="q")
    crz = ClassicalRegister(1, name="crz")
    crx = ClassicalRegister(1, name="crx")
    qc = QuantumCircuit(qr, crz, crx)
    qc.append(init_gate, [0])
    qc.barrier()
    create_bell_pair(qc, 1, 2)
    qc.barrier()
    alice_gates(qc, 0, 1)
    measure_and_send(qc, 0, 1)
    bob_gates(qc, 2, crz, crx)
    qc.append(inverse_init_gate, [2])
    cr_result = ClassicalRegister(1)
    qc.add_register(cr_result)
    qc.measure(2,2)
    backend_name = "qasm_simulator"
    backend = BasicAer.get_backend(backend_name)
    counts = execute(qc, backend, shots=1024).result().get_counts()

    end_time = time.time()

    runtime = end_time - start_time

    # qiskitflow =========

    # log parameters used
    experiment.write_parameter("backend name", backend_name)
    # log metrics of experiment
    experiment.write_metric("runtime", runtime)
    # log counts of experiment
    experiment.write_counts("experiment counts", counts)
```

</p>
</details>

------


### CLI


#### List of experiment runs
```shell
qiskitflow runs [--search=<SEARCH_BY_RUN_ID>] [--experiment=<EXPERIMENT_NAME>] [--order_by=<METRIC_TO_ORDER_BY>] [--order_type=<asc or desc>]
```

<details><summary>experiments list screenshot</summary>
<p>

![list](https://github.com/IceKhan13/QiskitFlow/blob/master/lib/docs/images/runs.png?raw=true)

</p>
</details>


#### Experiment run information
```shell
qiskitflow run <RUN_ID>
```

<details><summary>experiment information screenshots</summary>
<p>

Experiment information
![info](https://github.com/IceKhan13/QiskitFlow/blob/master/lib/docs/images/run_detailed.png?raw=true)

</p>
</details>

------

### Examples

[Jupyter notebook with quantum teleportation example](https://github.com/IceKhan13/QiskitFlow/blob/master/docs/examples/example.ipynb)


### Mocks of upcoming UI

<details><summary>UI mocks</summary>
<p>

Experiment information
![ui](https://github.com/IceKhan13/QiskitFlow/blob/master/docs/images/ui-updated.png?raw=true)


</p>
</details>


