QuL: Programming Library for Computational Cooling of Qubits

TL;DR

QuL is a versatile programming library designed to generate, analyze, and optimize quantum circuits for computational cooling of qubits, aiding both novice and advanced users in improving quantum state initialization.

Contribution

The paper introduces QuL, a flexible library that simplifies the creation and assessment of quantum cooling protocols for qubits, supporting both ease of use and detailed customization.

Findings

Enables easy generation of cooling circuits for novices.

Provides tools to compare and optimize cooling protocols.

Facilitates implementation of computational cooling on current quantum hardware.

Abstract

A key hurdle to the success of quantum computers is the ability to initialize qubits into a pure state, which can be achieved by cooling qubits down to very low temperatures. Computational cooling of qubits, whereby a subset of the qubits is cooled at the expense of heating the other qubits via the application of special sets of logic gates, offers a route to effectively cool qubits. Here, we present QuL, a programming library which can be used to generate, analyze, and test quantum circuits for various computational cooling protocols. In its most basic usage, QuL enables a novice user to easily produce cooling circuits with minimal input or knowledge required. The programming library, however, offers flexibility to more advanced users to finely tune the cooling protocol used to generate the quantum circuit. Finally, QuL offers methods to assess and compare various cooling protocols for users interested in studying optimal implementation of computational cooling in general, or on specific quantum backends. It is our hope that QuL will not only facilitate the execution of computational cooling on current quantum computers, but also serve as a tool to investigate open questions in the optimal implementation of computational cooling.