A recent study highlights the role of artificial intelligence (AI) in accelerating advancements in quantum computing, particularly in relation to encryption. AI technologies, such as deep learning and language models, are being utilized to analyze complex quantum systems, potentially leading to the much-anticipated 'Q-Day'—the moment quantum computers can effectively break current encryption methods like RSA and elliptic curves. Experts predict this could happen as early as 2030. With increasing reliance on cryptographic methods across industries, the urgency for transitioning to post-quantum cryptography is mounting. By leveraging AI, researchers can improve the performance of quantum hardware, allowing for reliable applications in various fields, including cybersecurity and financial services. The integration of AI into quantum research is essential to overcome obstacles, paving the way for a future where quantum technology may redefine digital security and trust globally.

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