PANews reported on April 6th that, according to PRNewswire, BTQ Technologies published a research paper titled "Kardashev Scale Quantum Computing for Bitcoin Mining," which for the first time quantifies the physical costs of the entire process of Bitcoin mining using quantum computing. The research points out that the market has long confused two types of quantum threats: one is attacks against Bitcoin's elliptic curve digital signatures (real and imminent), and the other is quantum mining accelerated based on Grover's algorithm (theoretically possible but extremely costly in practice).
This research paper argues that to substantially impact consensus, a quantum computing cluster with energy consumption far exceeding current human capabilities is needed. The study also proposes an open-source resource estimation model covering key aspects such as reversible double SHA-256 computation, fault-tolerant quantum error correction, and large-scale quantum bit scheduling. The conclusion emphasizes that the more realistic risk facing Bitcoin stems from cryptographic signature vulnerabilities, rather than quantum mining capabilities.

