Original title: Quantisation of Abstract Data Types
Mingsheng Ying, Zhicheng Zhang, Kean Chen · September 2026
Classical computers organise data using data types, like lists or tables, which follow clear algebraic rules. Quantum computers need similar ways to handle data, but turning classical types into quantum ones is tricky. To fix this, researchers used universal algebra to define abstract quantum data types. This framework converts classical data types into quantum ones. It works by lifting classical equations and rules directly into the quantum world without breaking them. The authors found that two standard quantum techniques, bit oracles and phase oracles, are just special cases of their method. They also proved that their approach preserves key data structures, like products, isomorphisms, and embeddings, while clearly explaining practical quantum arrays and error-correcting codes.
You have a favorite recipe written in English, and you want to cook it using a French cookbook. But some terms don't translate directly, like 'bake' versus 'cuire,' so you must adjust the steps without ruining the dish. In this paper, quantisation works similarly: it takes classical data types and adapts their specifications to quantum computers, ensuring that the core functions still work under quantum rules.
This matters for quantum software developers who need to build programs using familiar data structures. It provides a theoretical bridge from classical to quantum computing, reducing the effort to adapt existing code for quantum systems.
The abstract doesn't specify limitations, but the work is theoretical and focused on algebraic foundations rather than addressing practical implementation challenges or all types of quantum hardware.
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Quantisation of Abstract Data Types — Mingsheng Ying, Zhicheng Zhang, Kean Chen
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.