Key Takeaways
- • Quantum Blockchain Technologies (AIM: QBT) has developed a new mathematical variant of its Method B bitcoin mining technology using chaos mathematics to identify hidden structures within the SHA-256 algorithm, enabling identification of input blocks with higher density of winning hashes without requiring a learning phase for ASIC mining strategies.
- • The company completed six months of modelling and successful offline testing before moving to live testing on a Bitaxe Gamma miner based on the Bitmain BM1370 ASIC, with plans to test on the manufacturer's Mining Development Kit hashboard if initial results prove successful.
- • The new approach represents a shift toward "mathematical only" optimization, eliminating the need for the learning phase previously required to guide ASIC mining strategies, potentially improving mining efficiency and hash generation rates.
- • Chief Executive Francesco Gardin characterized the development as evidence of the company's research team's capability in making predictions on the SHA-256 algorithm that underpins bitcoin mining operations.
- • Share price declined 2.78% to 0.35p following the announcement on Thursday, 9 July 2026, suggesting investor skepticism regarding the commercial viability or timing of the disclosed advancement.
Summary
Quantum Blockchain Technologies, an AIM-listed investment company focused on blockchain research and development, announced on Thursday that its R&D team has developed a new mathematical variant of its Method B bitcoin mining technology. The innovation applies chaos mathematics to analyze and identify hidden structures embedded within the SHA-256 algorithm, the cryptographic foundation of bitcoin mining. By pinpointing input blocks with higher densities of winning hashes, the variant aims to improve the efficiency of hash generation without requiring the computational learning phase that previously guided ASIC mining strategies.
The development followed six months of modelling work and successful offline testing phases. QBT has now commenced live testing of the Method B variant using a Bitaxe Gamma miner, which operates on the Bitmain BM1370 ASIC architecture. The company indicated that if this initial phase proves successful, it intends to expand testing to the manufacturer's Mining Development Kit hashboard. This staged approach to validation suggests the company is proceeding methodically before scaling deployment.
The significance of this advancement lies in its "mathematical only" classification, distinguishing it from previous iterations that required adaptive learning mechanisms to optimize ASIC mining performance. By isolating mathematical principles governing hash function behavior, the approach potentially addresses a fundamental efficiency constraint in contemporary bitcoin mining operations, where competitive pressures and energy costs drive demand for algorithmic improvements.
Francesco Gardin, Chief Executive Officer of Quantum Blockchain Technologies, framed the announcement as demonstrating the creative problem-solving capabilities of the company's research team in addressing the challenge of making predictive determinations about the SHA-256 algorithm. The statement underscores the technical ambition involved in developing novel approaches to a well-established computational problem.
Market response to the announcement was muted. QBT shares declined 2.78% to 0.35p sterling at 10:41 BST on the announcement date, suggesting that investors may have discounted the near-term commercial impact or harbor reservations regarding the practical applicability of the technology to production-scale mining operations.
The development followed six months of modelling work and successful offline testing phases. QBT has now commenced live testing of the Method B variant using a Bitaxe Gamma miner, which operates on the Bitmain BM1370 ASIC architecture. The company indicated that if this initial phase proves successful, it intends to expand testing to the manufacturer's Mining Development Kit hashboard. This staged approach to validation suggests the company is proceeding methodically before scaling deployment.
The significance of this advancement lies in its "mathematical only" classification, distinguishing it from previous iterations that required adaptive learning mechanisms to optimize ASIC mining performance. By isolating mathematical principles governing hash function behavior, the approach potentially addresses a fundamental efficiency constraint in contemporary bitcoin mining operations, where competitive pressures and energy costs drive demand for algorithmic improvements.
Francesco Gardin, Chief Executive Officer of Quantum Blockchain Technologies, framed the announcement as demonstrating the creative problem-solving capabilities of the company's research team in addressing the challenge of making predictive determinations about the SHA-256 algorithm. The statement underscores the technical ambition involved in developing novel approaches to a well-established computational problem.
Market response to the announcement was muted. QBT shares declined 2.78% to 0.35p sterling at 10:41 BST on the announcement date, suggesting that investors may have discounted the near-term commercial impact or harbor reservations regarding the practical applicability of the technology to production-scale mining operations.
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