Implementing Quantum Polar Codes in a Superconducting Processor: From State Preparation to Decoding [Focus: Quantum Software and Its Engineering]

Year: 2025

Type: article

Abstract: Quantum polar codes are a class of capacity-achieving quantum codes, with fast and efficient error syndrome decoding for Pauli channels, emerging as a promising approach to fault-tolerant quantum computation. However, their implementation on superconducting quantum hardware with connectivity constraints is hindered by the need for long-range qubit interactions, which increases CNOT gate usage and reduces fidelity. A full-stack software framework for implementing quantum polar codes is presented, integrating a noise-aware compilation approach that optimizes resource usage by combining quantum and classical software. Experimental results demonstrate significant improvements in logical state preparation rates, with resource savings from 10% to 81% for both quantum and classical computations.

Source: IEEE Software

DOI: 10.1109/ms.2025.3569447

Authors: Handy Kurniawan, Valentin Savin, Carmen G. Almudéver, Francisco García Herrero

Institutions: Universidad Complutense de Madrid, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Universitat Politècnica de València, Université Grenoble Alpes, CEA Grenoble, Laboratoire d'Électronique des Technologies de l'Information

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,995

Funders: Albert Ellis Institute, Comunidad de Madrid, Agence Nationale de la Recherche, Ministerio de Ciencia e Innovación, University of the East, QuantERA, Agencia Estatal de Investigación

OpenAlex ID: W4410427501