In an era of rapid digital communication, the proliferation of manipulated information has emerged as a critical global challenge that undermines the integrity of information. Misinformation, often spread unintentionally, and disinformation, deliberately crafted to deceive, have far-reaching consequences, including eroding public trust, disrupting democratic processes, and endangering public health. Various forms, such as fake news, manipulated media, fake reviews, spam, and phishing, exploit social media and communication platforms to mislead users. Numerous techniques have been developed to detect false content, as discussed in several review articles devoted to the topic, but without mentioning quantum computing approaches. Notably, recent quantum computing reviews have not addressed misinformation or disinformation-related applications, despite growing interest in quantum methods across domains such as medicine, finance, and cybersecurity. This gap and the presence of relevant literature, especially over the last 2 years, highlight a pressing need for surveying research works into the intersection of quantum computing and misinformation or disinformation detection, which this work aims to address. This article is categorized under: Technologies > Machine Learning Application Areas > Science and Technology Technologies > Classification.

Quantum Frontiers in the Battle for Information Integrity

Loia, Vincenzo
;
Tomasiello, Stefania
2026

Abstract

In an era of rapid digital communication, the proliferation of manipulated information has emerged as a critical global challenge that undermines the integrity of information. Misinformation, often spread unintentionally, and disinformation, deliberately crafted to deceive, have far-reaching consequences, including eroding public trust, disrupting democratic processes, and endangering public health. Various forms, such as fake news, manipulated media, fake reviews, spam, and phishing, exploit social media and communication platforms to mislead users. Numerous techniques have been developed to detect false content, as discussed in several review articles devoted to the topic, but without mentioning quantum computing approaches. Notably, recent quantum computing reviews have not addressed misinformation or disinformation-related applications, despite growing interest in quantum methods across domains such as medicine, finance, and cybersecurity. This gap and the presence of relevant literature, especially over the last 2 years, highlight a pressing need for surveying research works into the intersection of quantum computing and misinformation or disinformation detection, which this work aims to address. This article is categorized under: Technologies > Machine Learning Application Areas > Science and Technology Technologies > Classification.
2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4935815
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