Qiskit Serverless client
Installation
To install the latest release of the client, run:
pip install qiskit-serverless
Ray is an optional dependency, needed only for the Ray runner. Install it with the
ray extra:
pip install qiskit-serverless[ray]
To install an editable package from source, run:
pip install -r requirements.txt -r requirements-dev.txt
pip install -e .
Documentation
Full docs can be found at https://qiskit.github.io/qiskit-serverless/
Usage
Step 1: write funtion in ./src/function.py
from qiskit_serverless import distribute_task, get, get_arguments, save_result
from qiskit import QuantumCircuit
from qiskit.circuit.random import random_circuit
from qiskit.primitives import StatevectorSampler as Sampler
from qiskit.quantum_info import SparsePauliOp
# 1. let's annotate out function to convert it
# to distributed async function
# using `distribute_task` decorator
@distribute_task()
def distributed_sample(circuit: QuantumCircuit):
"""Calculates quasi dists as a distributed function."""
return Sampler().run([(circuit)]).result()[0].data.meas.get_counts()
# 2. our program will have one arguments
# `circuits` which will store list of circuits
# we want to sample in parallel.
# Let's use `get_arguments` function
# to access all program arguments
arguments = get_arguments()
circuits = arguments.get("circuits", [])
# 3. run our functions in a loop
# and get execution references back
function_references = [
distributed_sample(circuit)
for circuit in circuits
]
# 4. `get` function will collect all
# results from distributed functions
collected_results = get(function_references)
# 5. `save_result` will save results of program execution
# so we can access it later
save_result({
"quasi_dists": collected_results
})
Step 2: run function
from qiskit_serverless import ServerlessClient, QiskitFunction
from qiskit.circuit.random import random_circuit
client = ServerlessClient(
token="<TOKEN>",
host="<GATEWAY_ADDRESS>",
)
# create function
function = QiskitFunction(
title="Quickstart",
entrypoint="program.py",
working_dir="./src"
)
client.upload(function)
# create inputs to our program
circuits = []
for _ in range(3):
circuit = random_circuit(3, 2)
circuit.measure_all()
circuits.append(circuit)
# run program
my_function = client.get("Quickstart")
job = my_function.run(circuits=circuits)
Step 3: monitor job status
job.status()
# 'DONE'
# or get logs
job.logs()
Step 4: get results
job.result()
# {'quasi_dists': [
# {'101': 902, '011': 66, '110': 2, '111': 37, '100': 17},
# {'100': 626, '101': 267, '001': 49, '000': 82},
# {'010': 145, '100': 126, '011': 127, '001': 89, '110': 173, '111': 166, '000': 94, '101': 104}
# ]}
Metadata
Release files for qiskit-serverless 0.36.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qiskit_serverless-0.36.0.tar.gz | 74.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qiskit_serverless-0.36.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 169.4 kB
Release files / qiskit_serverless-0.36.0.tar.gz
| Download URL | qiskit_serverless-0.36.0.tar.gz |
|---|---|
| Size | 74.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
54f8f7d94d30766731f83ca468cc540fe0c24d2873cf729fa44fe0bbc5aabd4f
|
|
BLAKE2b-256 checksum How to use checksums |
e03a76c68738eb6eb0788c2d12db8f6cf50b043e532237b77829f113740c9131
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / qiskit_serverless-0.36.0-py3-none-any.whl
| Download URL | qiskit_serverless-0.36.0-py3-none-any.whl |
|---|---|
| Size | 95.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6e909d782cc82580d4e6c3dd026eceb8405b78ab051d44ba9e71ee7d2be87bc5
|
|
BLAKE2b-256 checksum How to use checksums |
e5c88ed7cf48d93a4ce74e1ea8ef2f7ad0cfbfebddab9406b9a6a7ed89e49451
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|