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aiqbench analysis

The rapid optimization of subset selection algorithms has drastically reduced the GPU compute costs for quantum-safe Bitcoin transactions, demonstrating significant progress in making post-quantum cryptography economically viable. This achievement highlights how machine learning models are directly accelerating critical infrastructure improvements for blockchain security against future quantum threats.
Source coveringQuantum Zeitgeist
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Yukon & StarkWare unlock quantum 80% drop in Bitcoin costs

Quantum Zeitgeist3 min read

A quantum-safe Bitcoin transaction now costs about $67 in GPU compute, falling by close to 80 percent in one week. The first quantum-safe Bitcoin transaction cost about $320 and took roughly 3,100 GPU-hours, according to the Quantum-Safe Bitcoin Optimization Challenge.

Yukon Research and StarkWare report a nearly 80 percent reduction in the cost of quantum-safe Bitcoin transactions within a single week. A quantum-safe Bitcoin transaction now requires approximately $67 in GPU compute, a dramatic decrease from the $320 cost of the first such transaction mined just one month ago. The speedup stems from the Quantum-Safe Bitcoin Optimization Challenge, where transaction…

Excerpt shown under the publisher's RSS terms · 60 words · full text and figures are on the publisher's site

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