Q-Day Baseline Scenario in 2033 Says Project Eleven

Five years ago, the computational power needed to break RSA-2048 encryption was estimated at 20 million physical qubits; however, new research is significantly altering that estimate. Project Eleven has released The Quantum Threat to Blockchains Report, an analytical framework revealing a projected “Q-Day” now placed at 2038, with scenarios ranging from 2031 to 2045. Alex Pruden, CEO and Co-Founder of Project Eleven, explains that the report details how quantum computers work and provides a model for evaluating their progress. While Bitcoin’s underlying security algorithm, ECDSA, previously received comparatively little attention from quantum researchers, the report details a comprehensive vulnerability analysis of the blockchain ecosystem, urging immediate preparation for a post-quantum future.

Q-Day Scenarios and CRQC Progress Measurement

This projection is not static; the report models scenarios placing Q-Day as early as 2031 and as late as 2045, acknowledging the uncertainty in predicting technological breakthroughs. The computational threshold for breaking RSA-2048 encryption has dramatically shifted. Five years ago, an estimated 20 million physical qubits were required, but recent resource estimates from Google and Oratomic have significantly reduced this figure. This decrease in required resources highlights the accelerating pace of quantum computing development and underscores the urgency for proactive security measures.

Conor Deegan, CTO and Co-Founder of Project Eleven, points to the specific challenges facing blockchain protocols, stating that every major blockchain relying on elliptic curve signatures faces the same underlying problem, though the engineering path forward differs for each one. The report also reveals a historical disparity in attention given to different cryptographic algorithms, with ECDSA, the foundation of Bitcoin security, receiving less attention from quantum algorithm experts five years ago, a surprising oversight given the cryptocurrency’s prominence. Project Eleven’s analysis provides a comprehensive vulnerability assessment of the blockchain ecosystem, offering recommendations for enterprises and protocols to begin implementing post-quantum signature redesigns, a process they assert should begin immediately to prepare for the evolving quantum threat.

Blockchain Vulnerability Analysis & Post-Quantum Signature Redesign

Current focus on blockchain security extends beyond conventional cryptographic threats to encompass the emerging risk posed by quantum computing. While widespread quantum decryption capabilities remain years away, proactive analysis of vulnerabilities is now essential for long-term resilience. This forecast is based on a model evaluating the accelerating advancements in quantum computing, a field where resource requirements are rapidly decreasing. The model places Q-Day at 2038, with scenarios ranging from 2031 to 2045. The implications for blockchain protocols are significant, requiring a proactive redesign of signature schemes to incorporate post-quantum cryptography.

The report is an explanation of how quantum computers work, and a model for evaluating their progress.

Alex Pruden, CEO and Co-Founder of Project Eleven
Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: