{"id":11906,"date":"2025-04-15T11:57:51","date_gmt":"2025-04-15T10:57:51","guid":{"rendered":"https:\/\/icertpublication.com\/?page_id=11906"},"modified":"2026-03-03T15:38:05","modified_gmt":"2026-03-03T10:08:05","slug":"comprehensive-review-of-adversarial-quantum-attacks-on-ai","status":"publish","type":"page","link":"https:\/\/icert.org.in\/index.php\/edu-mania\/edumania-an-international-multidisciplinary-journal-vol-03-issue-02\/comprehensive-review-of-adversarial-quantum-attacks-on-ai\/","title":{"rendered":"Comprehensive Review Of Adversarial Quantum Attacks On Ai"},"content":{"rendered":"\t\t
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Edumania-An International Multidisciplinary Journal<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Vol-03, Issue-2 (Apr-Jun 2025)<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Comprehensive Review Of Adversarial Quantum Attacks On AI<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Ganapathy, Venkatasubramanian<\/span><\/p>

Faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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DOI: <\/span>https:\/\/doi.org\/10.59231\/edumania\/9114<\/span><\/a><\/p>

Page No.: 3\u201332<\/span><\/p>

Subject: Quantum Computing \/ Artificial Intelligence \/ Cybersecurity<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Received: Jan 27, 2025\u00a0<\/span><\/p>

Accepted: March 05, 2025\u00a0<\/span><\/p>

Published: April 01, 2025<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Thematic Classification: Quantum Machine Learning, Adversarial Attacks, AI Security, Quantum Cryptography.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Abstract<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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With the rapid advancement of artificial intelligence (AI) and quantum computing, cybersecurity threats have evolved, giving rise to adversarial quantum attacks. These attacks exploit the vulnerabilities of AI models using quantum algorithms, posing a significant risk to data security, model robustness, and decision-making systems. This paper presents a comprehensive review of adversarial quantum attacks on AI, analyzing their mechanisms, potential impacts, and countermeasures. It explores how quantum computing can enhance adversarial attacks by accelerating the generation of adversarial examples, breaking cryptographic protections, and undermining AI model integrity. Additionally, the study examines different attack vectors, including quantum-enhanced adversarial perturbations, quantum machine learning (QML) vulnerabilities, and quantum decryption threats. The paper also discusses defensive strategies such as quantum-resistant AI models, quantum cryptographic defenses, and hybrid quantum-classical security frameworks that can mitigate these risks. By evaluating existing research and emerging trends, this review provides insights into the growing intersection of AI security and quantum computing. The findings emphasize the urgent need for robust quantum-aware AI security frameworks to safeguard AI-driven systems in the quantum era. Future research directions include developing quantum-adaptive AI models, post-quantum cryptographic techniques, and real-world applications of quantum-safe AI architectures. This review aims to contribute to the ongoing discourse on ensuring AI resilience against adversarial quantum threats, paving the way for a secure and quantum-resistant future.<\/span><\/p>

Keywords:<\/span> Cryptographic, vulnerabilities, quantum machine learning, architectures, artificial intelligence.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Impact Statement<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The “Comprehensive Review of Adversarial Quantum Attacks on AI” critically addresses the emerging threat landscape where quantum computing intersects with artificial intelligence (AI) vulnerabilities. As quantum technologies advance, their integration with AI systems introduces unprecedented risks, including enhanced adversarial attacks capable of undermining classical machine learning models. This review systematically analyses quantum-enabled attack vectors, exposing potential exploits in critical sectors like finance, healthcare, and national security. By elucidating the mechanisms of these attacks, the study highlights the urgency of developing quantum-resistant defenses to safeguard data integrity and system reliability. Its findings urge interdisciplinary collaboration among AI researchers, quantum scientists, and cybersecurity experts to preemptively mitigate risks. Policymakers and industry leaders are called to prioritize ethical frameworks and invest in hybrid quantum-AI security protocols. This work serves as a foundational guide for fortifying AI infrastructures against future quantum threats, fostering trust in AI advancements while ensuring global socio-technical resilience. Ultimately, it bridges theoretical insights with actionable strategies, shaping a proactive roadmap for secure, sustainable AI innovation in the quantum era.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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About The Author\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Mr. Venkatasubramanian Ganapathy, M.Phil., B.Ed., M. Com, D.P.C.S.<\/span> is a faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat. He has over 18+ years\u2019 academic experience and 9 years corporate experience. He has presented and published many research papers in International and National Conferences and journals. His area of interest are Auditing, Finance and Accounting, Taxation, AI, ML, DL, Cloud Computing, IoT, Osmotic Computing, Blockchain Technology, Big Data Analytics, Python, RDBMS, Serverless Computing, Forensic Auditing, Cyber Security, Quantum Computing etc., He has been recognized with many Awards. His focus on implementation of latest technologies in his field.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Cite this Article<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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APA 7th Edition:<\/span> Ganapathy, V. (2025). Comprehensive review of adversarial quantum attacks on AI. <\/span>Edumania-An International Multidisciplinary Journal, 3<\/span>(2), 3\u201332. https:\/\/doi.org\/10.59231\/edumania\/9114<\/span><\/p>

MLA 9th Edition:<\/span> Ganapathy, Venkatasubramanian. “Comprehensive Review of Adversarial Quantum Attacks on AI.” <\/span>Edumania-An International Multidisciplinary Journal<\/span>, vol. 3, no. 2, 2025, pp. 3-32. doi:10.59231\/edumania\/9114.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Statements and Declarations\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Peer-Review Method: <\/span>This article underwent a double-blind peer-review process conducted by two independent external experts in Quantum Computing and Artificial Intelligence. This rigorous evaluation ensures the technical accuracy of the quantum algorithms discussed and the scholarly depth of the security analysis.<\/span><\/p>

Competing Interests:<\/span> The author, Venkatasubramanian Ganapathy, declares no potential conflicts of interest regarding the research, authorship, or publication of this review.<\/span><\/p>

Funding:<\/span> This work was supported by the Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai.<\/span><\/p>

Licence:<\/span> \u00a9 2025 by Ganapathy, V. is licensed under <\/span>CC BY 4.0<\/span>. Published by the International Council for Education Research and Training (ICERT).<\/span><\/p>

Data Availability:<\/span> This is a comprehensive review paper based on the synthesis of existing literature. All data sources, quantum attack models, and theoretical frameworks analyzed are cited within the text and are available through the referenced academic databases.<\/span><\/p>

Ethical Approval:<\/span> This research follows the ethical standards of the SIRC of ICAI. As a theoretical review of cybersecurity vulnerabilities, the study did not involve human subjects or animal testing, and it adheres to the highest standards of academic integrity and digital security ethics<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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References<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  1. Amazon braket (AWS). <\/span>https:\/\/aws.amazon.com\/braket\/<\/span><\/p><\/li>

  2. Fraunhofer. AISEC quantum security research. <\/span>https:\/\/www.cybersecurity.blog.aisec.fraunhofer.de\/en\/<\/span><\/p><\/li>

  3. IBM. Quantum. <\/span>https:\/\/www.ibm.com\/quantum<\/span><\/p><\/li>

  4. Joint Quantum Institute. University of Maryland and National Institute of Standards and Technology. <\/span>https:\/\/jqi.umd.edu\/<\/span><\/p><\/li>

  5. The University of Texas at Dallas. <\/span>https:\/\/news.utdallas.edu\/science-technology\/quantum-computers-attacks-2024\/<\/span><\/p><\/li>

  6. Quantum insider. <\/span>https:\/\/thequantuminsider.com\/2025\/01\/17\/biden-expands-cybersecurity-mandate-targets-ai-and-quantum-risks\/<\/span><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    Edumania-An International Multidisciplinary Journal Vol-03, Issue-2 (Apr-Jun 2025) An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006 Comprehensive Review Of Adversarial Quantum Attacks On AI Ganapathy, Venkatasubramanian Faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat DOI: https:\/\/doi.org\/10.59231\/edumania\/9114 Page […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":11893,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-11906","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/11906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/comments?post=11906"}],"version-history":[{"count":9,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/11906\/revisions"}],"predecessor-version":[{"id":28956,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/11906\/revisions\/28956"}],"up":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/11893"}],"wp:attachment":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/media?parent=11906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}