The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software

Quantum computing exhibits the unique capability to natively and efficiently encode various natural phenomena, promising theoretical speedups of several orders of magnitude. However, not all computational tasks can be efficiently executed on quantum machines, giving rise to hybrid systems, where some portions of an application run on classical machines, while others utilize quantum resources. However, existing methods often to identify candidates to quantum execution (quantum candidates) involve a trial-and-error approach, relying on the intuition and expertise of computer scientists, resulting in varying identification durations ranging from minutes to days for a single application.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3731623
Citations
3
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
7.44

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article

The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software

Ivona Brandić, Ewa Deelman, Jürgen Cito, Vincenzo De Maio
3 citations
Quantum Computing Algorithms and Architecture
7.44
article

The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software

Ivona Brandić, Ewa Deelman, Jürgen Cito, Vincenzo De Maio
article en
3 citations

Abstract

Quantum computing exhibits the unique capability to natively and efficiently encode various natural phenomena, promising theoretical speedups of several orders of magnitude. However, not all computational tasks can be efficiently executed on quantum machines, giving rise to hybrid systems, where some portions of an application run on classical machines, while others utilize quantum resources. However, existing methods often to identify candidates to quantum execution (quantum candidates) involve a trial-and-error approach, relying on the intuition and expertise of computer scientists, resulting in varying identification durations ranging from minutes to days for a single application.

University of Southern California (US), TU Wien (AT), Marina Del Rey Hospital (US)
Austrian Science Fund
Openalex Percentile: Top 3%
Quantum Computing Algorithms and Architecture
7.44
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The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software — Ivona Brandić, Ewa Deelman, et al. · (2025) | TGRS Research Map | TGRS