QNT’s Mission
Quantum Neural Technologies
QN⊗T
QUANTUM NEURAL TECHNOLOGIES
Enhanced Machine Learning with Quantum Computing
Boosting Quantum Computing with Machine Learning
QNT’s mission is carried out by a multi-disciplinary team of senior scientists.
Applications

Applicability of Quantum Computing to industrial sectors: Pharmaceuticals, Chemicals, Automotive and Finance

Macroeconomic challenges

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Regulatory framework
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Customer expectations
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Data security
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Big-data requirements

Most known use cases

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Quantum Simulation
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Quantum Linear Algebra
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Optimization & search
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Quantum Factorization

Market research strongly suggests that the above-mentioned industries can reap the strongest short-term benefits from quantum technology. As a conservative estimate, the aggregate value at stake for these industries stands between roughly $300 billion and $700 billion.

Shareholders & Founders

Shareholders & Founders

Aggelos Tsikas Ph.D.
Founder and Chief Scientist

Ph.D. in Mathematics, Carnegie Mellon University, USA
M.Sc. In Mathematics, Carnegie Mellon University, USA
M.Sc. In Civil and environmental engineering, Carnegie Mellon University, USA
B.Sc. Civil engineering, National Technical University of Athens (NTUA), GR

Panagiotis “Takis” Psarogiannakopoulos, Ph.D.
Founder and Chief Scientist

Ph.D. in Mathematics, University of Cambridge, UK
M.Sc. In Mathematics, University of Cambridge, UK
B.Sc. In Mathematics, University of Patras, GR

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About QNT​

QNT is an innovative quantum technology startup established in November 2021 in Athens, Greece.

The company’s two founding shareholders, Dr. Aggelos Tsikas, engineer and holder of Ph.D. degree in Mathematics from Carnegie Mellon University, U.S.A. and Dr. Takis Psarogiannakopoulos, also holder of a Ph.D. degree in Mathematics, from the University of Cambridge, UK., share an extensive background in advanced pure mathematics and have recently assembled a team of specialized mathematicians, physicists and software engineers supported by knowledgeable legal and financial advisors.

Bolstering QNT’s corporate, market position and business prospects,  Dr. Psarogiannakopoulos was also the co-founder and CTO of Cambridge Quantum Computing Ltd (*) which merged last year with Honeywell Quantum Solutions to form the world’s largest and most advanced standalone quantum computing company.

Dr. Psarogiannakopoulos has developed the t|ket>, an advanced platform-agnostic software development kit to create and execute programs for gate-based quantum computers.

(*) (Cambridge Quantum Computing – Bloomberg Business Innovators)

Introduction​

Quantum computation relies on a fundamentally different means of processing and storing information than today’s classical computers use. The reason is that information stored in quantum computers does not obey the laws of classical mechanics but those of quantum mechanics. Usually, quantum-mechanical effects become apparent only at very small scales, when quantum systems are properly isolated from their surrounding environment. These conditions, however, make the construction of a quantum computer a very complex and challenging task.

Notwithstanding this challenge, according to a recent report by McKinsey & Co., pharmaceutical, chemical, automotive and finance are estimated to be the first group of industry sectors to benefit from quantum computing, primarily since many “use cases” share the potential to be formulated as problems that can be solved by quantum algorithms running on quantum computers available in the near term.

Applications

Applicability of Quantum Computing to industrial sectors: pharmaceuticals, chemicals, automotive and finance

Macroeconomic challenges:

Regulatory framework​

Customer expectations

Big-data Requirements

Data security​

Most known use cases fit into four archetypes:

Quantum simulation

Quantum linear algebra for machine learning

Quantum optimization and search

Quantum factorization

Market research strongly suggests that the above-mentioned industries can reap the strongest short-term benefits from quantum technology. As a conservative estimate, the aggregate value at stake for these industries stands between roughly $300 billion and $700 billion.

QNT’s Mission

QNT’s mission is carried out by a multi-disciplinary team of senior scientists.

Enhanced Machine Learning with Quantum Computing
Boosting Quantum Computing with Machine Learning

Top layer diagrammatic representation

(*) Note that Quantum Transformer belongs to this class.
Transformer is a novel neural network architecture (e.g.: OpenAI/ChatGPD) that recently revolutionized the analysis of sequential data, with particular focus on Natural Language Processing, tasks such as Machine Translation and text generation starting from human prompt
(*) Note that Quantum Transformer belongs to this class.
Transformer is a novel neural network architecture (e.g.: OpenAI/ChatGPD) that recently revolutionized the analysis of sequential data, with particular focus on Natural Language Processing, tasks such as Machine Translation and text generation starting from human prompt
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