CSA: The Relationship Between AI and Quantum Computing

Jan 20, 2025

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Source URL: https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing
Source: CSA
Title: The Relationship Between AI and Quantum Computing

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**Summary:** The provided text discusses the Global AI Symposium where experts, including Mehak and Megha Kalsi, explored quantum artificial intelligence (QAI) and its implications for cybersecurity and society. They detail the benefits and challenges of integrating AI with quantum computing, highlighting significant advancements and ethical considerations.

**Detailed Description:**
The Global AI Symposium featured leaders in artificial intelligence to dissect the networking between AI and quantum computing. The session, led by industry experts Mehak and Megha Kalsi, focused on how emerging technologies like quantum artificial intelligence (QAI) are reshaping intelligence computing and its future implications across various sectors.

– **Expert Backgrounds:**
– **Mehak Kalsi:** Industry leader in cybersecurity and quantum computing, holds multiple certifications, and is a Co-Chair of the CSA Quantum-Safe Security Working Group.
– **Megha Kalsi:** Distinguished cybersecurity Partner at AlixPartners with expertise in AI governance and strategic implementation.

– **Quantum AI Overview:**
– **Quantum Computing Basics:** Moving from classical bits to qubits, offering capabilities such as superposition and entanglement which allow vastly more productive calculations compared to classical computing.
– **Significance of Shor’s Algorithm:** Points to the vulnerability of existing encryption methods under quantum attacks.

– **Intersections of AI and Quantum Computing:**
– **AI’s Role in Enhancing QAI:** AI can aid quantum computers in noise reduction, leading to more stable qubits and efficient computation.
– **QAI Applications:** Includes optimizing data cleaning, resolving NP-hard problems, and improving models via quantum neural networks.

– **Use Cases for QAI:**
– **Cybersecurity Enhancements:** QAI can facilitate improved threat detection tools, allowing real-time analysis of cyber threats and improving risk analysis.
– **Industry Impacts:** Expected transformations across sectors such as finance, healthcare, military, and environmental sustainability due to the integration of QAI capabilities.
– **Environmental Considerations:** Utilizing QAI to develop more sustainable materials and processes, particularly in manufacturing sectors.

– **Ethical Implications:**
– Addressing bias in AI data sets and the ethical usage of AI and quantum technologies, particularly in sensitive sectors like healthcare and criminal justice.
– Emphasizing the need for regulatory governance to oversee the development and deployment of these technologies.

In conclusion, the convergence of AI and quantum computing is not just a technological advancement but a profound structural shift in computing, demanding new strategies and governance in technology. With the understanding that AI is advancing rapidly and quantum computing is on the brink of mainstream integration, organizations must prepare strategically to remain competitive and secure.

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