Quantum computing is in the spotlight, but what does it actually mean for your organisation, on top of everything AI is already changing? We deliver keynotes and in-depth sessions that separate hype from risk and real opportunity.
In short
For most organisations the rule is: AI is now, quantum is planning. Except in security, where data stored today can be decrypted later.
AWS
Nvidia
Hewlett Packard
AFAS
Nyenrode
Funda
HAL InvestmentsAWSNvidiaHewlett PackardAFASNyenrodeFundaHAL InvestmentsAWSNvidiaHewlett PackardAFASNyenrodeFundaHAL InvestmentsAWSNvidiaHewlett PackardAFASNyenrodeFundaHAL Investments
YoungCapital
BDO
KPN
AKD
Loyens & Loeff
ABN Amro
KVKYoungCapitalBDOKPNAKDLoyens & LoeffABN AmroKVKYoungCapitalBDOKPNAKDLoyens & LoeffABN AmroKVKYoungCapitalBDOKPNAKDLoyens & LoeffABN AmroKVK
Oracle
CSU
RTL
Mediahuis
DNBOracleCSURTLMediahuisDNBOracleCSURTLMediahuisDNBOracleCSURTLMediahuisDNBThe content of our sessions comes from published research and official documents, not press releases. This is the baseline we work from, and we refresh it for every session.
Error correction
Google published a chip (Willow) in Nature that stays below the surface-code error threshold: more qubits now means fewer errors. A July 2026 follow-up used an AI model to recalibrate the chip in real time, pushing the logical error rate to roughly 7.7 in 10,000 per cycle.
Roadmaps
IBM calls 2026 the year of first quantum-advantage examples and promises an error-corrected machine, Starling, in 2029 — explicitly an intention, not a guarantee. Quantinuum launched Helios (98 qubits) commercially in November 2025, with Amgen, BMW and JPMorganChase among its first customers.
Encryption
In August 2024 NIST finalised three post-quantum standards (ML-KEM, ML-DSA and SLH-DSA). There is no longer a technical excuse to wait: the work now is inventory, prioritisation and migration.
Regulation
The European Commission and member states published a joint migration roadmap in June 2025, with the highest-risk category first in line. In December 2024 the Dutch AIVD, CWI and TNO released the second edition of their PQC migration handbook, with an explicit warning about 'harvest now, decrypt later'.
Quantum × AI
There is still no demonstrated quantum advantage for mainstream machine learning; recent research shows promised speed-ups evaporate in realistic scenarios. The reverse direction is productive already: AI helps calibrate quantum chips and spot errors.
Netherlands
In July 2026 QuTech added Tuna-17 to Quantum Inspire, an open-architecture superconducting processor usable worldwide. On top of that, a EuroHPC quantum computer is being procured to be hosted by SURF in the Netherlands.
45–60 minutes
A plenary talk that makes quantum computing understandable for a non-technical audience and shows how it relates to the AI wave that is already here. Current examples, no science fiction.
Half day
A working session with your team: what does quantum concretely mean for your sector, data and security policy? We translate the technology into scenarios and an agenda for the coming years.
90 minutes
A closed-door session for executives and supervisory boards: how much attention does quantum deserve now, which risks are already real and which investments can wait.
Qubits, superposition and noise, explained without formulas. And above all: where today's machines still fall short.
Where the two meet: optimisation, simulation and materials research, and why AI will have the bigger impact on your organisation for now.
The risk that is already live today: data intercepted now can be decrypted later. What that means for your migration planning.
Which announcements matter, which are marketing, and which signals to track so you can act in time.
Your planning is not driven by the quantum computer, but by how long your confidential data must stay secret and by regulators' deadlines.
NIST publishes the post-quantum standards (August). AIVD, CWI and TNO update the Dutch migration handbook (December).
EU member states and the Commission agree a phased timeline for the move to quantum-safe cryptography.
Vendors claim the first practical examples, almost always combined with classical supercomputers. Telling a demo from an application starts to matter here.
The year the major roadmaps point to for usable, error-corrected systems. Your crypto migration should be finished by then, not starting.
Not true — but relevant
No machine comes close. The risk sits in stored data: what is intercepted today can still be opened ten or fifteen years from now.
Not for now
For ordinary business data, classical hardware is simply better. The promising applications are in simulating molecules and materials.
Contested
Microsoft presented Majorana 1 in February 2025 as the first topological processor. Peers publicly questioned the evidence; it is a claim, not an established fact.
Risky
A crypto migration touches certificates, suppliers, devices and software; that takes years. Organisations with long-lived confidential data therefore start now.
This is how our quantum tracks run, from first introduction to a decision you can defend internally.
We discuss your sector, the audience's level of knowledge and what should have changed afterwards.
Input / InputA plenary narrative with examples from your own world, so everyone shares the same language.
Proces / ProcessNo: keep monitoring and stay focused on AI. Yes: continue into an in-depth session with security and R&D scenarios.
Beslispunt / DecisionConcrete next steps, a timeline per theme and clear criteria to decide when to scale up.
Uitkomst / Outcome
Once a month: cases, frameworks and concrete examples of what works in practice. No noise.