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-0.2.1.tar.gz (55.5 kB view details)

Uploaded Source

Built Distribution

q_alchemy_sdk_py-0.2.1-py3-none-any.whl (64.5 kB view details)

Uploaded Python 3

File details

Details for the file q_alchemy_sdk_py-0.2.1.tar.gz.

File metadata

  • Download URL: q_alchemy_sdk_py-0.2.1.tar.gz
  • Upload date:
  • Size: 55.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.12.4 CPython/3.11.1

File hashes

Hashes for q_alchemy_sdk_py-0.2.1.tar.gz
Algorithm Hash digest
SHA256 7126c7c077b8964d743e2620b0ddb030a37736d048f4b7b1a20c34e0ec8be5c2
MD5 efd9a4a110ca77d6f6b61e7bd8821771
BLAKE2b-256 b711e79e6ac74a92b6dfa9516f6c21b52758f4a184e8d693643af36d910912e4

See more details on using hashes here.

File details

Details for the file q_alchemy_sdk_py-0.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for q_alchemy_sdk_py-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7883aeae6c60339a8cc36b116bc79a6e79da1ca7228a5ed03909bed751739ec6
MD5 df8e37d39dca393711828bd07390c0f8
BLAKE2b-256 eeb743f03d112bd786a9cbc9ca5669818bfcc04f3ff5631ad094fa56964e4877

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