Vernewell Quantum Fall School
Powered by Vernewell Academy
Delivered within the Academic Aisle at The Quantum Innovation Summit 2026
The Vernewell Quantum Fall School 2026 is a structured learning programme delivered within the Academic Aisle at The Quantum Innovation Summit 2026. Powered by Vernewell Academy, it strengthens quantum capability through advanced content, guided discussion, and applied perspective.
The programme is built for participants who want depth in quantum science alongside a clear understanding of how quantum technologies connect to real systems, sector pathways, and long-horizon capability planning.
28 SEPTEMBER 2026
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Purpose
The Vernewell Quantum Fall School 2026 is designed to
Deepen understanding of quantum technologies and related frontiers
Connect scientific concepts with practical contexts of integration and readiness
Support capability building across research pathways and institutional responsibilities
Create a shared learning environment within The Quantum Innovation Summit 2026
Two Tracks
Research and Talent Track
Research and Talent Track
Designed for advanced students, doctoral candidates, postdoctoral researchers, and early-career scientists. Focus areas include quantum foundations, emerging research directions, modelling approaches, and research exchange through structured academic dialogue
Executive and Institutional Track
Designed for executives, senior policymakers, regulators, and institutional leaders. Focus areas include quantum readiness, assurance and trust considerations, long-horizon capability planning, and sector integration perspectives relevant to strategic decision-making.
Learning Format
- Expert-led lectures and guided discussions
- Applied sessions using case-based learning and scenario framing
- Moderated dialogue connecting research perspectives with implementation realities
- Introductions to selected partner software platforms through demonstrations and guided walkthroughs, subject to partner participation formats
- Research exchange formats integrated with the Academic Aisle programme
Who Should Participate
- Universities and research centres
- Faculty, research groups, and emerging researchers
- advanced students and doctoral candidates
- executives and institutional leaders responsible for technology readiness
- policymakers and regulators engaging with advanced technology governance
Dates and Location
28 September 2026, ENTANGLEMENT Room
Grand Hyatt Dubai Conference and Exhibition Centre
Dubai, United Arab Emirates
Participate
To express interest in participating in the Academic Aisle or the Vernewell Quantum Fall School.
- info@vernewellgroup.com
For Summit programme details
- www.quantuminnovationsummit.com
Learning pathways
Pathway 1: Discovery Track
Who it is for
Professionals and decision makers seeking a clear entry pathway into quantum concepts and readiness vocabulary, including policy and governance stakeholders, strategy and innovation teams, and professionals transitioning into quantum-adjacent roles.
What it covers
- Conceptual foundations explained with clarity and discipline
- A structured overview of quantum computing, communications, and sensing
- The language of readiness and adoption: governance, assurance, integration, and use case framing
- Practical orientation for engaging with the ecosystem and understanding deployment pathways
Outcome
Participants leave with strong foundations and shared language that support confident engagement across the quantum ecosystem.
Pathway 2: Scientific and Technical Track
Who it is for
Engineers, researchers, developers, analysts, applied mathematicians, and technical practitioners seeking deeper scientific grounding and a more technical route into applied reasoning and implementation-oriented thinking.
What it covers
- Deeper scientific foundations and modelling intuition, including states, measurement, superposition, entanglement, and noise considerations
- Technical translation of problems into quantum-relevant formulations
- Algorithmic thinking and workflow design, including hybrid quantum–classical patterns
- Toolchain-oriented understanding, including simulation and execution pathway mapping
- Practical constraints shaping implementation planning, dependencies, and system integration touchpoints
Outcome
Participants leave with deeper scientific and technical foundations and a stronger pathway from concepts into applied design thinking, suitable for deeper technical training and project engagement.
Exploring the Universe with Quantum Technology
From Black Holes to Quantum Computing – The New Frontier in Physics
Creative Instructor
Prof. Dr. Oliver Buchmueller
Learning Objective
Participants will gain an understanding of how cold-atom quantum technologies enable new tests of fundamental physics, from dark matter and gravitational waves to precision timing and emerging quantum computing platforms.
Topics
Quantum technology, Cold atoms, Dark matter, Gravitational waves, Atomic clocks, Quantum sensing, Quantum computing, Fundamental physics, Cosmology
Quantum Machine Learning (QML) and Quantum Circuits
Creative Instructor
Prof. Dr. Muhammad Shafique
Learning Objective
Learn an overview of advanced QML techniques Learn design and optimization of efficient quantum circuits for different applications like finance, scheduling, etc.
Topics
QML, Quantum Circuits, Optimizations, Efficiency, Applications
Foundations and Frontiers of Quantum Computing
Creative Instructor
Dr. Amaria Javed
Learning Objective
This talk aims to introduce the foundational principles of quantum computing and highlight current research frontiers. Participants will gain a conceptual understanding of how quantum computers differ from classical systems and explore emerging applications and challenges in the field.
Topics
Fundamentals of Quantum Computing, Quantum Algorithms, Quantum Hardware, Current Challenges (NISQ, Error Correction), Applications and Future Outlook
Bright and Quantum
Engineering Non-Classical Light
Creative Instructor
Prof. Dr. Carla Hermann Avigliano
Learning Objective
Understand why non-Gaussian states of light are a key resource for emerging quantum technologies —computing, sensing, communication— and why their power grows with brightness, making bright non-Gaussian light especially valuable yet hard to realize.
Topics
Quantum optics, Non-Gaussian states, Non-classical light, Quantum state engineering, Quantum metrology, Continuous-variable quantum information, Quantum state tomography
Trustworthy AI and Collaborative
Robotics for the Future of Lunar Operations Learning Objective
Creative Instructor
Prof. Balamurugan Balusamy
Learning Objective
Understand how trustworthy autonomous AI, edge intelligence and collaborative robotics converge to enable safe, resilient lunar operations, and evaluate the design principles, challenges and applications of deploying these technologies in harsh, communication-limited environments.
Topics
Trustworthy Autonomous AI for Lunar Operations Edge Intelligence in Communication-Limited Environments Collaborative Robotics for Lunar Exploration Resilient and Fault-Tolerant Lunar Systems Agentic AI, Quantum Computing, and Space Governance.
Building the Quantum Workforce Before University
Designing Future-Ready Quantum Ecosystems
Creative Instructor
Dr. Mariana Filipova
Learning Objective
This session provides strategic insight into how early, applied quantum education enables globally scalable talent pipelines and resilient quantum ecosystems by aligning school-level learning, teacher capacity building, and interdisciplinary skills with future economies and workforce transformation.
Topics
Quantum workforce development, Future quantum talent pipelines, Quantum education ecosystems, Technology-driven learning models, Interdisciplinary quantum skills, Science communication and leadership
Quantum Computing in Education
Creative Instructor
Muhammad Awais Afzal Mirza
Learning Objective
The importance of Quantum Computing in various industries and what it’s importance is.
Topics
Importance of Quantum Computing in Education | Quantum will touch almost every industry at this summit | The Quantum Computing Initiative | IBM Qiskit Fall Fest.
Quantum Cognitive Intelligence (QCI)
A Human-Inspired Framework for the Next Generation of Artificial Intelligence
Creative Instructor
Dr. Shamik Palit
Learning Objective
Understand the limitations of current AI and the need for Quantum Cognitive Intelligence (QCI).
Explain the core concepts and interdisciplinary foundations of QCI.
Describe the QCI architecture, including Quantum Memory, Quantum Reasoning, Knowledge Graphs, and Explainable Intelligence.
Topics
Quantum Cognitive Intelligence (QCI)
Quantum Computing Artificial Intelligence (AI)
Cognitive Computing Quantum Artificial Intelligence (QAI) Quantum Machine Learning (QML)
From AI Literacy to Quantum Readiness
Preparing the Next Generation of Leaders
Creative Instructor
Dr. Shamik Palit
Learning Objective
Understand how universities and employers can prepare young people for the quantum–AI era by strengthening technology awareness, critical thinking, adaptability, ethical judgement and closer collaboration between education and industry.
Topics
AI Literacy, Quantum Readiness, Future Skills, Leadership Development, Higher Education, Future of Work, Industry–Academia Collaboration
