Quantum

Study: AI Could Speed Quantum Threats — And Help Build Defenses

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 21/10/2026, 12:34:26 UTC.

Briefings

A new analysis suggests AI can accelerate quantum threats to encryption while simultaneously aiding organizations in preparing defenses. The study argues that AI's growing role in quantum development will make it harder for businesses to plan around a fixed deadline for replacing vulnerable cryptography. Key facts include the use of public-key cryptography like RSA and elliptic-curve systems, with Google researcher Craig Gidney's 2025 estimate suggesting RSA-2048 could be broken with fewer than 1 million physical qubits. The paper emphasizes the 'arvest now, decrypt later' strategy, noting that intercepted communications remain valuable until a capable quantum computer arrives. However, the study explicitly states that publicly available evidence does not establish who is collecting the data or how much has been collected, leaving this critical gap unknown.

Key points

• AI could accelerate quantum attacks on encryption while helping organizations locate and replace vulnerable cryptography across sprawling computer systems.
• Public-key cryptography such as RSA and elliptic-curve systems relies on mathematical problems that conventional computers cannot solve at sufficiently large sizes, with Google's 2025 estimate suggesting RSA-2048 could be broken with fewer than 1 million physical qubits.

Context

The paper, published in the Journal of Quantum Information Science by Troy Coienth Troublefield, of Capitol Technology University, proposes a strategic framework for organizations to treat AI and quantum cybersecurity as a single challenge. It highlights the 'arvest now, decrypt later' strategy, where intercepted communications remain valuable until a capable quantum computer arrives, urging immediate action despite the uncertainty of the development schedule.

Limitations

The study explicitly states that publicly available evidence does not establish who is collecting the data or how much has been collected, leaving this critical gap unknown. Additionally, the paper notes that independent public evaluations of commercial tools' accuracy, coverage, and false alarms remain limited, and the reduction in hardware requirements for breaking RSA-2048 is based on theoretical estimates rather than demonstrated attacks.

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