Your Daily Quantum Computing Briefing

Quantum Threat to Cryptocurrency Encryption Accelerates Significantly

• A new 57-page white paper, published on April 11, 2026, by Google's DeepMind Research Center, Google's Quantum AI division, Stanford University, and the Ethereum Foundation, reveals that cryptocurrency encryption could be cracked by quantum computers far sooner than previously anticipated. The paper suggests Shor's algorithm could reduce the time to crack 256-bit encryption from billions of years to mere minutes, with the gap closing 20 times faster than the industry assumed. This development places over $2 trillion in crypto assets at risk, including 1.7 million Bitcoin with exposed public keys.

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• In response to the accelerating threat, Bitcoin developers are formally evaluating Bitcoin Improvement Proposal 360 (BIP 360) to address a past vulnerability, though a complete transition to post-quantum cryptography for the entire network is estimated to take approximately seven years. This urgency is underscored by Hewlett Packard Enterprise (HPE) accelerating its own preparations for "Q-Day," integrating quantum-resistant capabilities into its AI and high-performance computing systems, with Q-Day expected between 2030-2035.

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• While quantum computing advances, new research from Los Alamos National Laboratory (LANL) indicates that some quantum learning models designed to mitigate "barren plateaus" in variational quantum computing might be classically simulable. This surprising finding suggests that the proposed solutions to a major hurdle in quantum machine learning could inadvertently limit the quantum advantage, as a classical computer could perform the same tasks just as efficiently.

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