While QBT's main goal is to develop disruptive Bitcoin mining systems to have competitive advantage in its mining activity, selected partners will have access to proprietary mining hardware and software, as well as mining pool and data services.
Quantum Blockchain Technologies PLC (QBT) Machine Learning Research Team has developed a new Bitcoin (BTC) mining strategy, called Method A.
Unlike current standard BTC mining approach, based on a search strategy, where the mining rig runs as many Tera hashes as possible, during the circa 10 minutes allowance for each block, with no special criteria on which hashes to process first, QBT Method A, decides, at the beginning of each block hashing, whether to hash using a traditional search, or a spaced confined search.
Extensive Lab tests, at a lower difficulty than the current, training complex neural networks, have showed that hashing with Method A criteria, can improve the ability to find a winning hash up to 12%, compared to current search, by taking advantage of a weak point of the header generation procedure to gain a statistical advantage over competitors of the order of 12% in mining speed.
Method A will be available as a SaaS (Software as a Service) client-server cloud application by uploading an upgrade to the mining rigs' firmware. The QBT server, where the Method A engine runs, receives data from the mining rig, the client, responding with parameters at the beginning of each new block computation, to reduce the number of computations required to find a winning hash.
For further information, please contact QBT Business Development department at:
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Quantum Blockchain Technologies PLC (QBT) Machine Learning Research Team has developed a new Bitcoin (BTC) mining strategy, called Method B.
Unlike current standard BTC mining approach, based on a search, where the mining rig runs as many Tera hashes as possible, during the circa 10 minutes allowance for each block, with no special criteria on which hashes to process first, QBT Method B, guides the search, by deciding where the most promising winning hashes are likely to be found.
The procedure moves through the state space consisting of different header parameters and, through a composition of ML and mathematical methods, thereby searches and selects portions of the state space for which the hashes will be processed. This approach avoids processing a large number of hashes, obtaining the result in less time.
Extensive Lab tests, at a lower difficulty than the current, have shown that hashing guided with Method B criteria, can improve the ability to find a winning hash by 2.6 times, compared to standard search, while saving up to 4.3% of energy.
Method B will be available as a SaaS (Software as a Service) client-server cloud application via a module upgrade to uploading an upgrade to the mining rigs' firmware. The QBT server, where the Method B engine runs, receives data from the mining rig, the client, and responding with a search parameter, which increases the probability of finding a winning hash.
For further information, please contact QBT Business Development department at:
This email address is being protected from spambots. You need JavaScript enabled to view it.