Quantum Advantage Seeker with Kernels (QuASK)#

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QuASK is an actively maintained library for constructing, studying, and benchmarking quantum kernel methods.

It is designed to simplify the process of choosing a quantum kernel, automate the machine learning pipeline at all its stages, and provide pedagogical guidance for early-stage researchers to utilize these tools to their full potential.

QuASK promotes the use of reusable code and is available as a library that can be seamlessly integrated into existing code bases. It is written in Python 3, can be easily installed using pip, and is accessible on PyPI.

Why quask?#

You may want to use quask for several compelling reasons:

  • You want to implement complex features with minimal code and in a short timeframe, such as evaluating the spectral bias of a quantum kernel with the Task Model alignment or creating reinforcement learning agents that optimize quantum circuits to enhance classifier performance. quask offers a solution that requires just a few lines of code, as opposed to weeks of developmenton most quantum SDKs laking these features.

  • You want to use a high-level software API that can be seamlessly compiled to work with the most widely used quantum SDKs like Qiskit, Pennylane, Braket, Qibo, and more. This is advantageous if you prefer not to be tied to a specific hardware vendor’s platform, allowing for flexibility when changing hardware. Additionally, quask’s modular platform enables you to easily configure custom backends to harness specific low-level features from vendors when required.

  • You want a platform to learn about quantum kernels or to use the source code as a reference implementation for theoretical constructs that lack practical details on how to build them.

Acknowledgements#

The platform has been developed with the contribution of Massimiliano Incudini, Francesco Di Marcantonio, Davide Tezza, Roman Wixinger, Sofia Vallecorsa, and Michele Grossi.

If you have used quask for your project, please consider citing us.

Contents#

Introduction

Learn

Under the hood

About quask