24 October 2024

Quantum Blockchain Technologies plc

("QBT" or "the Company")

Bitcoin Mining - Method C

Hardware AI Oracle Implementation and Performance Increase

Quantum Blockchain Technologies (AIM: QBT), the AIM-listed investment company
focused on a R&D and investment programme within blockchain technology, is
pleased to announce a series of breakthrough achievements with regards its
predictive Bitcoin Artificial Intelligence (AI) model mining tool, Method C.

HIGHLIGHTS

      Method C's AI Oracle successfully and efficiently implemented onto
Bitcoin Mining hardware

      Method C performance increased significantly from 30% to 50%, at lower
mining difficulty

      Lab tests of Method C's AI Oracle at current level of mining difficulty
confirm the effectiveness of the model

      The Company believes this is a major innovation which undermines industry
assumptions and is a significant step forward to commercialisation

      Patent application to be filed before year end

Method C - Increased Performance

The Company announced on 13 March 2024 the development of a proprietary AI
Oracle, broadly defined by the R&D team as Method C. While the Machine Learning
model has previously been defined as Method C, the result of its `training' with
relevant data is known in the industry as an AI Oracle. This Oracle is being
used by QBT to implement its prediction engine.

Method C's AI Oracle is able to predict the likelihood of an input to SHA-256
(the core algorithm to mine Bitcoins) to produce a winning Hash. Should the AI
Oracle calculate that the current SHA-256 will not be successful in finding the
winning Hash, it skips that calculation and moves on to the next input. In the
March 2024 announcement, the Company reported that irrelevant SHA-256
computations were being avoided almost 30% of the time.

It was further reported on 15 August 2024 that, following further testing, the
AI Oracle was performing real-time simulated mining, at historic lower mining
difficulty levels, for the purpose of industry demonstrations.

The Company is now able to report that at a lower level of mining difficulty,
the performance of the AI Oracle generated by Method C, used at the mining rig
level, has been materially improved from 30% to more than 50%. Simply stated,
this means that on an average of 100 inputs to SHA-256, more than 50 of them are
assessed as not worth being calculated, since no winning hashes will be
generated from those inputs.

The Company believes this is a major innovation, which undermines a key Bitcoin
Mining industry assumption that the SHA-256 algorithm output cannot be
predicted. The implications are, therefore, significant in that a Bitcoin miner
operating with the AI Oracle at a lower level of difficulty than the current
one, would be able to:

      Double the mining rate in the same time period, and

      Keep energy costs at the same level.

While the Company is now finally able to demonstrate the above achievements in
real time simulated mining, using QBT's AI Oracle hardware implementation (see
below) and a simulation of the blockchain using historic data, it has to be
noted that recent lab tests have also clearly demonstrated the effectiveness of
the AI Oracle, as a result of the training of the Method C model, running at the
current level of mining difficulty.

From a commercial perspective, QBT's vigorous testing has demonstrated that the
performance of the AI Oracle on a single mining rig at a lower level of mining
difficulty is such that more than 50% of the inputs to SHA-256 are discarded,
without affecting the chance of the miner to find a winning Hash.

Detailed measurements of global efficiency for the AI Oracle generated by Method
C are currently in progress so QBT can benchmark the improvements against
existing mining devices operating at current levels of mining difficulty using
key industry parameters, such as, energy saving and improved hashing power
(Joule per Tera Hash).

The Company is now focused on two elements which are key to producing a
commercial version of AI Oracle generated by Method C.  Firstly, it is
investigating a route to maintain the AI Oracle's success at current and future
mining difficulty levels, and secondly, the QBT Machine Learning team is working
on producing a software-only version of the AI Oracle generated by Method C,
that can be used by mining pools.

Method C - Hardware Implementation of the AI Oracle generated by Method C

The Board recognises that a commercial product is key to the future success of
the Company, and it can report it has now taken a major step forward with the
development of a real-time hardware implementation for the AI Oracle, which QBT
sees as being both innovative and efficient.  The Company will be in a position
to provide further details of this technical solution once it has filed a patent
application, which it anticipates doing by the end of 2024.

Following the filing of the patent application, live demonstrations of the AI
Oracle will be shared with potential partners. These demonstrations will aim to
show the real-time superiority between a mining device running the AI Oracle
compared to the same mining device without it.

Francesco Gardin, CEO and Executive Chairman of QBT, commented, "The combined
effort and close cooperation of the Machine Learning Team, in conjunction with
the Hardware Team, has been one of the keys to unlocking this astonishing and
impressive result.

"The Company's strategy to use AI to improve the performance of SHA-256, despite
the industry's common view that this was impossible, is so far proving
successful and represents a potentially effective new approach to Bitcoin
Mining.

"Once the new patent application has been filed, we will start to demonstrate
the real-time, disruptive application of the AI Oracle generated by Method C to
potential key partners and clients."

This announcement contains inside information for the purposes of Article 7 of
the Market Abuse Regulation (EU) 596/2014 as it forms part of UK domestic law by
virtue of the European Union (Withdrawal) Act 2018 ("MAR"), and is disclosed in
accordance with the Company's obligations under Article 17 of MAR.

For further information please contact:

Quantum Blockchain Technologies Plc

Francesco Gardin, CEO and Executive Chairman +39 335 296573

SP Angel Corporate Finance(Nominated Adviser & Broker)

Jeff Keating, John Mackay +44 (0)20 3470 0470

Leander(Financial PR)

Christian Taylor-Wilkinson +44 (0) 7795 168 157

About Quantum Blockchain Technologies Plc

QBT (AIM: QBT) is a London Stock Exchange AIM listed Research & Development and
investing company focused on an intensive R&D programme to disrupt the
Blockchain Technologies sector, and which includes, cryptocurrency mining and
other advanced blockchain applications. The primary goal of the R&D programme is
to develop Bitcoin mining tools and techniques, via its technology-driven
approach, which the Company believes will significantly outperform existing
market practices.

Glossary of Terms

Bitcoin Mining: Bitcoin mining is the process of using computer hardware to do
mathematical calculations for the Bitcoin network in order to confirm
transactions. Miners collect transaction fees for the transactions they confirm
and are awarded Bitcoins for each block they verify.

Hash: A hash is the output of a hashing function, which is a mathematical
function that converts an input of arbitrary length into an encrypted output of
a fixed length.

Method C: A Machine Learning based development by QBT R&D team which is composed
by an AI model to be trained and an AI Oracle (the result of the training of the
model). The Oracle assesses in real time the likelihood of an input to SHA-256
to generate a winning Hash.

Oracle: It is an intelligent system which is designed for only answering
questions and has no ability to act in the world.

SHA-256: Secure Hashing Algorithm (SHA)-256 is the hash function and mining
algorithm of the Bitcoin protocol, referring to the cryptographic hash function
that outputs a 256 bits long value.


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