Bitcoin : AI makes the cost of quantum protection plummet
The cost of protecting bitcoin against quantum computing has just dropped sharply over the past few days. An open competition led by StarkWare, Yukon Research, and Eigen Labs enabled developers and AI agents to speed up the calculations required. In a week, the estimate went from about $320 to $67 in compute per GPU. This drop especially highlights how code optimization can reduce the resources needed to build transactions that better withstand the quantum threat.
The estimated cost of a quantum-resistant Bitcoin transaction falls from $320 to $67.
An open competition made it possible to significantly accelerate the calculations needed through code optimization.
AI models dominate the best results obtained in GPU benchmarks.
This solution remains limited and still does not provide complete protection against the quantum threat.
The Quantum-Safe Bitcoin Optimization Challenge aims to reduce the cost of creating a transaction resistant to quantum computing. StarkWare, Yukon Research, and Eigen Labs opened this competition to measure progress made by external solvers. The panel now places the estimated cost at around $67 in compute per GPU. A week earlier, it was about $320.
The first quantum-resistant transaction was mined on the mainnet last month. The technology developed by StarkWare aims to protect bitcoins without needing a blockchain fork. Its initial build required around 3,100 hours of compute per GPU and cost $320. The competition then reduced this burden.
This decline is due above all to compute optimization. The most costly process relies on an exhaustive search before data is recorded on the blockchain.
$BTC
$GPS
$IAG.US
#BTC
The cost of protecting bitcoin against quantum computing has just dropped sharply over the past few days. An open competition led by StarkWare, Yukon Research, and Eigen Labs enabled developers and AI agents to speed up the calculations required. In a week, the estimate went from about $320 to $67 in compute per GPU. This drop especially highlights how code optimization can reduce the resources needed to build transactions that better withstand the quantum threat.
The estimated cost of a quantum-resistant Bitcoin transaction falls from $320 to $67.
An open competition made it possible to significantly accelerate the calculations needed through code optimization.
AI models dominate the best results obtained in GPU benchmarks.
This solution remains limited and still does not provide complete protection against the quantum threat.
The Quantum-Safe Bitcoin Optimization Challenge aims to reduce the cost of creating a transaction resistant to quantum computing. StarkWare, Yukon Research, and Eigen Labs opened this competition to measure progress made by external solvers. The panel now places the estimated cost at around $67 in compute per GPU. A week earlier, it was about $320.
The first quantum-resistant transaction was mined on the mainnet last month. The technology developed by StarkWare aims to protect bitcoins without needing a blockchain fork. Its initial build required around 3,100 hours of compute per GPU and cost $320. The competition then reduced this burden.
This decline is due above all to compute optimization. The most costly process relies on an exhaustive search before data is recorded on the blockchain.
$BTC
$GPS
$IAG.US
#BTC
