Skip to main content

No project description provided

Project description

Q-Alchemy Python SDK

This is the Python-SDK for using the data cybernetics Q-Alchemy API which helps quantum computing researchers to put classical data into the quantum computer. This is all also called: the loading problem, encoding problem, or quantum state preparation. Some people also call it a form of QRAM, or quantum random-access memory.

This SDK builds upon the Hypermedia-Siren API of data cybernetics which uses a document-first approach added with actions. The standardized way makes the API programmatically accessible, which can be explored by the Hypermedia-Test-UI

The SDK builds upon this, so that any software developer planning to integrate with the API and experience the API through the UI and the SDK in a very similar fashion. Also, any GUI around this has similar characteristics.

Installation

We have decided not to go through pypi, but you can install this through pip or poetry nonetheless

pip install q-alchemy-sdk-py

We use python-pdm and have tested this all with Python 3.11 or higher (but less than 4!). So the way to install it after cloning is simply

pdm install

Usage

There are examples under the /examples folder, but for those that are eager to find out, here it is. First, you will want to get an API key from the Q-Alchemy Portal. You need to sign up for this, sorry, but this is necessary. Once you have the API key (free of charge of course) you can test it!

Qiskit Example

import numpy as np
from sklearn.datasets import fetch_openml

from q_alchemy.qiskit_integration import QAlchemyInitialize, OptParams

mnist = fetch_openml('mnist_784', version=1, parser="auto")

zero: np.ndarray = mnist.data[mnist.target == "0"].iloc[0].to_numpy()
filler = np.empty(2 ** 10 - zero.shape[0])
filler.fill(0)

zero = np.hstack([zero, filler])
zero = zero / np.linalg.norm(zero)

instr = QAlchemyInitialize(
    params=zero.tolist(),
    opt_params=OptParams(
        max_fidelity_loss=0.1,
        basis_gates=["id", "rx", "ry", "rz", "cx"],
        api_key="<your api key>"
    )
)
instr.definition.draw(fold=-1)

PennyLane

Will come soon!

Developer UI

You can play around with this as you please and check out the Hypermedia-Test-UI for more info!

Contributions

We welcome contributions - simply fork the repository of this plugin, and then make a pull request containing your contribution. All contributers to this plugin will be listed as authors on the releases.

We also encourage bug reports, suggestions for new features and enhancements!

Authors

Carsten Blank

License

The q-alchemy-sdk-py is free and open source, released under the Apache License, Version 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

q_alchemy_sdk_py-0.2.8.tar.gz (37.1 kB view details)

Uploaded Source

Built Distribution

q_alchemy_sdk_py-0.2.8-py3-none-any.whl (11.6 kB view details)

Uploaded Python 3

File details

Details for the file q_alchemy_sdk_py-0.2.8.tar.gz.

File metadata

  • Download URL: q_alchemy_sdk_py-0.2.8.tar.gz
  • Upload date:
  • Size: 37.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.15.1 CPython/3.11.8 Windows/10

File hashes

Hashes for q_alchemy_sdk_py-0.2.8.tar.gz
Algorithm Hash digest
SHA256 e20427bbbd1d3d81d0acd3ed67e53409b4f3619ba7501dc051765675fd7bbd0a
MD5 33e7b681db3ff425f176fa777c94f8ce
BLAKE2b-256 87fe6f87254be059d83653c2f036402dda933a7e25cfde69c31e0034c5b9bdfc

See more details on using hashes here.

File details

Details for the file q_alchemy_sdk_py-0.2.8-py3-none-any.whl.

File metadata

File hashes

Hashes for q_alchemy_sdk_py-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 efb2d064abd4bb3a970430889c7c78c6a873006400defec3c5f856ff8042a07e
MD5 bd34cccadd0b39d67b3a4ad82b6c2a4b
BLAKE2b-256 e15849deb05a7a7ea8aa082a0a3e17af40c7d1de3be6b10321c69f34f5643d30

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page