Common quantum computing objects description and conversion library
Project description
qio
qio is a python package to smoothly manipulate quantum computing objects between client and server.
It handle all the conversion boilerplate to focus your dev on your quantum SDK and backend on real matters.
Installation
We encourage installing qio via the pip tool (a Python package manager):
pip install qio
Getting started
To leverage qio and get quick interoperability between your frontend and your backend, you simply need to use qio wrappers system.
Here a snippet code for cirq and qsim:
import cirq
from cirq.circuits import Circuit
from qsimcirq import QSimSimulator
from qio.core import (
QuantumComputationModel,
QuantumComputationParameters,
QuantumProgramResult,
QuantumProgram,
)
#############
# Client side
qc = _random_cirq_circuit(10)
shots = 100
program = QuantumProgram.from_cirq_circuit(qc)
model_json = QuantumComputationModel(
programs=[program],
).to_json_str()
parameters_json = QuantumComputationParameters(
shots=shots,
).to_json_str()
# Send this to server side
###########################
# Server / Computation side
model = QuantumComputationModel.from_json_str(model_json)
params = QuantumComputationParameters.from_json_str(parameters_json)
circuit = model.programs[0].to_cirq_circuit()
qsim_simulator = QSimSimulator()
qsim_result = qsim_simulator.run(circuit, repetitions=params.shots)
program_result = QuantumProgramResult.from_cirq_result(result).to_json_str()
# Send this to back to client side
#####################
# Back to client side
cirq_result = qresult.to_cirq_result()
qiskit_result = qresult.to_qiskit_result()
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file qio-0.1.26.tar.gz.
File metadata
- Download URL: qio-0.1.26.tar.gz
- Upload date:
- Size: 17.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de2406ad142205907f51e5a21fbc8ef7b567dc6e625e668e01a4f6369e1ceb25
|
|
| MD5 |
f27775cfaeaaa45a34d1fca7dd262858
|
|
| BLAKE2b-256 |
cf656b4057b9bb9e69a45e3622c303447b07b806770fc3ce77c651033709a382
|
File details
Details for the file qio-0.1.26-py3-none-any.whl.
File metadata
- Download URL: qio-0.1.26-py3-none-any.whl
- Upload date:
- Size: 19.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
81e8916349da6a8303b6d8e911fc56b1bc0a71c670b0fc319979121021d7d820
|
|
| MD5 |
9dc9d43e128b6c1781040cb62ae39e53
|
|
| BLAKE2b-256 |
18b93d20d2ebcfe116bc06c84b6a35ec6c7ce0d8a04a04bd1f0403af7ff1222a
|