BTQ Technologies published a research paper titled "Kardashev Scale Quantum Computing for Bitcoin Mining," providing the first quantitative assessment of the entire physical cost of Bitcoin mining using quantum computing. The research points out that the market has long confused two types of quantum threats: attacks against Bitcoin's elliptic curve digital signature (a real and urgent threat), and quantum mining accelerated by Grover's algorithm (theoretically possible but extremely costly in practice). The 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. (PRNewswire)