CQIS 2026 Programme Preview: What to Expect at the Cognitive Quantum Intelligence Summit

The Cognitive Quantum Intelligence Summit 2026 convenes at The Royal Institution, London on 22–23 October 2026. With 180 vetted delegate places and a strictly closed format, CQIS 2026 is designed for depth, not breadth — two days of structured intellectual engagement at the intersection of cognitive AI, quantum computing, and GeoEconomic intelligence.

This preview outlines the programme architecture, the thematic territory each session cluster will cover, and the questions the Summit is designed to answer.

CQIS 2026 runs across two full days, structured as follows:

Day 1 — 22 October 2026

• 08:30 — Registration and arrival
• 09:30 — Opening address: The Cognitive Frontier — Why This Moment Is Different
• 10:00 — Plenary I: Post-LLM Architecture and the Future of Agentic AI
• 11:30 — Breakout sessions (three parallel tracks)
• 13:00 — Lunch and structured networking
• 14:30 — Plenary II: Fault-Tolerant Quantum Computing — State of the Field
• 16:00 — Breakout sessions (three parallel tracks)
• 17:30 — Closing plenary: The Cognitive Sovereignty Imperative
• 18:30 — VIP Gala Dinner (Founding Sovereign and Executive Delegate pass holders)

Day 2 — 23 October 2026

• 09:30 — Opening: GeoEconomic Intelligence in the Age of Quantum AI
• 10:00 — Workshop sessions (four parallel tracks)
• 12:00 — Closing address and Summit communiqué
• 12:30 — Departure

The opening plenary addresses the most consequential question in applied AI research: what comes after the large language model?

The first generation of LLMs — GPT, Claude, Gemini, Llama — has demonstrated that statistical prediction over vast corpora can produce outputs that are, in many contexts, indistinguishable from human-generated text. This is a remarkable engineering achievement. It is not, however, intelligence. It is pattern completion at scale.

The limitations are now well-documented. LLMs hallucinate with confidence. They cannot reason causally. They have no model of the world — only a model of the statistical relationships between tokens in their training data. They cannot plan, cannot verify their own outputs against ground truth, and cannot update their beliefs in response to new evidence without retraining.

The CQIS 2026 opening plenary will examine the architectural alternatives that are emerging in response to these limitations:

The shift from statistical correlation to causal reasoning is the defining challenge of the next generation of AI research. Sessions will examine:

• Causal inference in AI systems — the theoretical foundations of causal reasoning and the engineering challenges of implementing it at scale
• World models and model-based reasoning — AI systems that maintain an explicit model of the world and reason over it, rather than predicting the next token
• Neurosymbolic AI — hybrid architectures that combine the pattern-recognition capabilities of neural networks with the logical reasoning capabilities of symbolic AI
• Verification and formal methods — how to build AI systems whose outputs can be formally verified against ground truth

The transition from language models to action models — AI systems that do not merely generate text but take actions in the world — is already underway. CQIS 2026 will examine:

• Agentic AI architecture patterns — the design principles for AI systems that can plan, execute, and adapt across multi-step tasks
• Tool use and API integration — how agentic AI systems interface with external systems, databases, and real-world infrastructure
• Failure modes and safety — the specific ways in which agentic AI systems fail, and the governance frameworks required to manage them
• Human-in-the-loop design — how to build agentic systems that preserve human oversight without sacrificing the efficiency gains that make them valuable

A dedicated session will address the mayaNess-coined concept of Algorithm Drift — the systemic failure mode in which autonomous AI systems progressively push humans out of the decision-making loop. As agentic AI systems become more capable and more deeply embedded in institutional processes, the risk of Algorithm Drift compounds. The session will examine:

• How Algorithm Drift manifests in enterprise AI deployments
• The cognitive and organisational mechanisms through which human agency is eroded
• The BAPNA Engine — mayaNess's proprietary deterministic cognitive AI framework for eliminating Algorithm Drift at the source
• Policy and governance frameworks for maintaining human cognitive command in agentic AI environments

The afternoon plenary on Day 1 addresses the quantum computing landscape with the rigour it deserves — not the hype cycle that has characterised most public discourse on the subject, but an honest assessment of where the field stands, what the near-term milestones are, and what quantum advantage will actually mean for the organisations in the room.

Quantum computing's fundamental challenge is decoherence — the tendency of quantum systems to lose their quantum properties through interaction with the environment. Fault-tolerant quantum computing requires error correction at a scale that current hardware cannot yet support. The plenary will examine:

• Current qubit counts and error rates — an honest assessment of where the leading quantum computing platforms stand in 2026
• Quantum error correction approaches — surface codes, topological qubits, and the engineering trade-offs between them
• The threshold theorem and what it means in practice — the theoretical conditions for fault tolerance and how close current systems are to meeting them
• Timeline to quantum advantage — a rigorous assessment of when quantum computers will outperform classical computers on commercially relevant problems

Two hardware paradigms are emerging as potentially transformative for cognitive AI: silicon photonics and neuromorphic chips. Sessions will examine:

• Silicon photonics — using light rather than electrons for computation, with implications for speed, energy efficiency, and the physical limits of classical computing
• Neuromorphic chips — hardware architectures that mimic the structure of biological neural networks, enabling AI inference at a fraction of the energy cost of conventional GPU-based systems
• The convergence thesis — the argument that the most powerful cognitive AI systems of the next decade will combine quantum processing, neuromorphic inference, and classical orchestration in hybrid architectures

For most organisations, the relevant question is not when universal fault-tolerant quantum computers will arrive, but how to extract quantum advantage from the hybrid quantum-classical systems available today. Sessions will examine:

• Variational quantum algorithms — the current state of quantum optimisation, quantum chemistry simulation, and quantum machine learning
• Quantum annealing and combinatorial optimisation — practical applications in logistics, finance, and drug discovery
• Quantum key distribution and post-quantum cryptography — the implications of quantum computing for information security and the transition to quantum-resistant cryptographic standards

The second day shifts from the technical to the strategic — examining the geopolitical and institutional implications of the AI and quantum transition.

The integration of AI, quantum computing, and geopolitical intelligence into unified strategic frameworks is the defining challenge for national security agencies, sovereign wealth funds, and multinational corporations in the current era. Sessions will examine:

• The AI geopolitics landscape — how the United States, China, the European Union, and emerging powers are positioning themselves in the AI and quantum competition
• Supply chain intelligence — how AI and quantum computing are transforming the analysis of global supply chains and the identification of strategic vulnerabilities
• Currency and capital flows in the quantum era — the implications of quantum computing for financial markets, cryptography, and the architecture of the global financial system
• The GeoEconomic Intelligence framework — mayaNess's integrated approach to combining AI, quantum, and geopolitical signals into actionable sovereign intelligence

The afternoon workshop sessions will address cognitive sovereignty at the institutional and national level — the capacity of organisations and nations to maintain cognitive command in an environment of increasing AI dependency.

• National AI sovereignty frameworks — how leading nations are approaching the challenge of maintaining strategic autonomy in AI and quantum computing
• The Silicon Curtain — mayaNess's framework for isolating core business logic and strategic intelligence from public AI profiling
• Collective Synchronicity Protocols — structured methodologies for aligning the cognitive output of groups and organisations toward unified strategic intent
• Nominal Cognizance Prime — the mayaNess principle that human intent must remain the final, unoverridable decision node in every AI-augmented system

CQIS 2026 is not open registration. Every delegate application is subject to the Sovereign Reality Filter — a structured prequalification process designed to ensure that every person in the room is operating at the cognitive frontier.

The Filter assesses three dimensions:

1. Domain depth — genuine expertise in at least one of the Summit's three thematic pillars
2. Strategic orientation — the capacity to think at the level of systems, not just components
3. Cognitive sovereignty — the disposition to direct AI systems rather than be directed by them

Applications that do not meet the Filter's criteria are declined. This is not gatekeeping for its own sake — it is the mechanism that makes the conversations at CQIS 2026 worth having.

Three pass tiers are available, each subject to the Sovereign Reality Filter:

• Standard Delegate — £750 + VAT (£525 + VAT early bird until 22 August 2026)
• Executive Delegate — £1,250 + VAT (£875 + VAT early bird until 22 August 2026)
• Founding Sovereign — £2,850 + VAT (£1,995 + VAT early bird until 22 August 2026)

The Founding Sovereign Pass includes full conference access, the VIP Gala Dinner on 22 October, and permanent recognition as a member of the inaugural CQIS cohort.

Apply for your delegate pass →

The 180-delegate cap is firm. Early bird pricing closes 22 August 2026.

CQIS 2026 is accepting submissions from researchers and practitioners working at the frontier of cognitive AI, quantum computing, and GeoEconomic intelligence. The Programme Committee is particularly interested in:

• Empirical results from frontier research that challenge prevailing assumptions
• Novel frameworks for the intersection of human cognition and machine intelligence
• Case studies of agentic AI deployment at institutional scale
• Theoretical contributions to causal reasoning, world-model AI, or quantum-classical hybrid architectures

Submit a paper or speaker proposal →

CQIS 2026 is organised by the mayaNess Society. For full event details, venue information, and the complete programme schedule, visit mayaness.org/events/cqis-2026.