Neurossance

Quantum for Business & Leadership

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About Course

 

Format: Live Online 

Duration: Six consecutive days, starting 28 September 2026, 17:00 – 19:00 (GMT)

Session Length: Two hours per day

Total CPD: 12 hours 

 

 

Programme Overview

Quantum for Business and Leadership – QBL is a high-impact executive upskilling programme designed for leaders, decision-makers, and professionals seeking to understand the strategic implications of quantum technologies. 

 

As quantum computing and related technologies move from scientific research to commercial and industrial deployment, organisations face both unprecedented opportunities and significant challenges. Leaders must be equipped to navigate both the opportunities and the risks they present.

 

Unlike many existing programmes—which are either highly technical or overly simplified—QBL offers a balanced, rigorous, and accessible learning experience. Participants gain an intuitive understanding of core quantum concepts while developing the strategic insight needed to critically evaluate emerging technologies and make informed decisions within their organisations.

 

The programme is delivered by internationally recognised experts in quantum science, quantum computing, cybersecurity, and emerging technologies.

 

 

Programme Structure

QBL provides a structured introduction to the quantum ecosystem, covering both foundational concepts and strategic implications for business, government, and industry. 

 

 

Why Quantum? Why now?

Quantum technologies are rapidly moving from theoretical research to real-world impact. 

 

Yet a critical knowledge gap remains.

 

Traditional quantum education is often highly mathematical, making it inaccessible to most professionals. At the same time, many business-focussed programmes reduce quantum tech to buzzwords and speculative promises, providing little understanding of the underlying mechanisms.

 

QBL bridges this gap.

 

The programme equips participants with a grounded understanding of quantum technologies, enabling them to: 

  • Engage confidently with technical experts
  • Evaluate emerging opportunities and risks
  • Distinguish genuine innovation from hype
  • Understand realistic development timelines 
  • Make informed strategic decisions 
  • How to position organisations in a rapidly evolving landscape

 

Drawing on advances in visual and conceptual approaches to quantum theory, we make complex ideas accessible without sacrificing rigour.

 

Rather than treating quantum as a “black box”, we provide participants with a meaningful understanding of how and why these technologies work.

 

 

Programme highlights 

  • CPD-accredited Certificate of Completion
  • Delivered by internationally recognised quantum experts
  • Practical industry-focused perspectives
  • Real-world use cases and strategic insights
  • Opportunities to discuss organisation-specific challenges
  • Frameworks for evaluating quantum opportunities and risks
  • Preparation for future technological disruption and innovation

 

 

Course Instructors 

 

Prof Bob Coecke

Founder & CEO Relational Intelligence

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Prof Dusko Pavlovic 

Professor of Adaptive Security and Economics 

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Prof Aleks Kissinger 

Professor of Quantum Computing 

 

 

Prof Matty Hoban 

Professor of Quantum Computing 

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Prof John van de Wetering 

Professor of Computer Science 

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Dr Lia Yeh

Research Associate, University of Cambridge Computer Science and Technology

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Dr Selma Dündar-Coecke

Educational Lead, NEUROssance 

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What Will You Learn?

  • Quantum for Business: Develop a clear and structured understanding of the principles underlying quantum technologies and their applications in business and professional contexts.
  • Strategic Leadership: Build the ability to evaluate opportunities, risks, and investment pathways within organisational and policy contexts.
  • Applied Outcomes — Industry Impact: Understand how quantum technologies may influence sectors.

Course Content

Quantum technologies, use cases, scaling, and limitations
Key technologies, Current and emerging industry use cases Myths, hypes, and the practical challenges Scaling and feasibility

  • Key technologies
  • Current and emerging use cases
  • Myths, hypes, and practical challenges
  • Scaling and feasibility

Quantum computing, timelines, and error correction
Quantum computing, Where it may deliver value, Applications, Timelines, Error correction

Quantum learning
The idea of a quantum computer is almost 50 years old. Its realizations have been knocking on the door for some 30 years. It has attracted large long-termi investments promising even larger long-term returns. Servicing the investments while steering them through the twist and the turns of fundamental research is hard. Luckily, the annual breakthrough announcements abound. The quantum computer is knocking on the door.The idea of machine learning goes back at least to Alan Turing's 1948 "Darwin memo". Its realization got delayed by a 60-year detour into *intelligent design* of artificial intelligence. Recently, intelligence *evolved*, precisely along the lines anticipated by Turing. Enter learning machines.The crucial feature of quantum computation is that it can be run on data mixtures (superpositions) and perform mixtures of computations, from which information about the outputs can be “unmixed" by collapsing quantum states to classical. The crucial feature of machine learning is that its training data contain mixed information, which can be encoded and "unmixed" by collapsing weighted concepts to sequences of tokens in neural networks, like thoughts collapse to sentences in our abstracts and conversations.Formally, the quantum-classical state collapse and the concept-token state collapse share a basic mathematical model. The upshot of this lecture is that the resulting technologies can be understood with very little mathematics, allowing a clear-eyed view of the economic outlook when the mist settles.

Quantum hardware and architectures

Cryptography in a quantum world

The future of quantum: Vision
The future quantum economy Industry transformation scenarios Opportunities for innovation Workforce implications and society Long-term strategic considerations