QuL: Programming Library for Computational Cooling of Qubits

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.

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Publication Details

Journal
ACM Transactions on Quantum Computing
Published
2025-05-29
DOI
https://doi.org/10.1145/3737887
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48
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article

QuL: Programming Library for Computational Cooling of Qubits

Lindsay Bassman Oftelie, Giuliano Difranco
1 citations
ACM Transactions on Quantum Computing
Quantum Computing Algorithms and Architecture
2.48
article

QuL: Programming Library for Computational Cooling of Qubits

Lindsay Bassman Oftelie, Giuliano Difranco
article en
1 citations

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.

ACM Transactions on Quantum ComputingVol. 6(3)
University of Pisa (IT), Scuola Normale Superiore (IT)
Openalex Percentile: Top 10%
Quantum Computing Algorithms and Architecture
2.48
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QuL: Programming Library for Computational Cooling of Qubits — Lindsay Bassman Oftelie, Giuliano Difranco · ACM Transactions on Quantum Computing (2025) | TGRS Research Map | TGRS