Map the regulatory obligations that apply to quantum computing algorithms in each market of operation.
Exploring Quantum Computing Algorithms for Solving Complex Problems
Learn to design, measure and defend your organisation's approach to quantum computing algorithms.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most organisations now hold more data about quantum computing algorithms than they can actually act on. Technology choices around the wider digital and data-driven work agenda are easy to reverse on paper and expensive to reverse in practice. Across sectors, teams that rehearse the practice within digital and data-driven work outperform teams that only plan it. Participants apply quantum computing algorithms to their own transformation programme throughout, so the output is directly usable. Participants leave with a method for this aspect of digital and data-driven work, not a set of opinions about it. Participants who influence the wider digital and data-driven work agenda without directly controlling it will find the content directly usable. They gain the ability to sequence improvements to quantum computing algorithms in an order their organisation can absorb. Moving this part of digital and data-driven work from written policy into daily practice is not achieved by a single decision. The programme closes with an action plan for this area of digital and data-driven work that each participant writes for their own organisation.
Expected Learning Outcomes
Prepare a short, evidence-based briefing on quantum computing algorithms for senior management.
Document the decision record for quantum computing algorithms so successors understand why it is built this way.
Integrate quantum computing algorithms into existing management routines rather than running it separately.
Build a concise delivery roadmap for quantum computing algorithms that colleagues can follow without further explanation.
Build a security and access model for quantum computing algorithms appropriate to the sensitivity of the data involved.
Evaluate the bias, fairness and explainability obligations attaching to quantum computing algorithms.
Who Should Attend
Operations managers whose processes are changed by quantum computing algorithms.
Vendor and contract managers overseeing suppliers involved in quantum computing algorithms.
Technical staff being prepared for supervisory responsibility over quantum computing algorithms.
Public sector digital leads applying quantum computing algorithms under procurement and privacy rules.
Planning staff whose forecasts and budgets are affected by quantum computing algorithms.
Risk and compliance staff assessing the controls around quantum computing algorithms.
Course Modules
Quantum computing algorithms: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Who owns quantum computing algorithms once the project team disbands
- Design the pilot for quantum computing algorithms so that a negative result is still useful.
- Identify where judgement in quantum computing algorithms is legitimate and where it is not.
- Decide which legacy process quantum computing algorithms retires, and set the date.
- Close out actions on quantum computing algorithms rather than leaving them open indefinitely.
Session 2What has to be agreed before work on quantum computing algorithms starts
- Set the review interval for quantum computing algorithms and who attends.
- List the data sources quantum computing algorithms consumes and confirm each has a named owner.
- Assess the regulatory obligations quantum computing algorithms triggers in each jurisdiction.
- Set out how exceptions to quantum computing algorithms are requested and approved.
Quantum computing algorithms: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1Where quantum computing algorithms touches systems nobody wants to change
- Define the exit route from the supplier supporting quantum computing algorithms.
- Specify the fallback path when quantum computing algorithms is unavailable.
- Check that records of quantum computing algorithms answer the questions likely to be asked.
- Distinguish symptoms from causes when quantum computing algorithms underperforms.
Session 2Comparing quantum computing algorithms with recognised practice
- Agree what will be standardised in quantum computing algorithms and what will not.
- Decide what will be stopped to create capacity for quantum computing algorithms.
- Verify that quantum computing algorithms still performs when input volume doubles unexpectedly.
- Prepare the summary of quantum computing algorithms that senior management will read.
Quantum computing algorithms: cost, licensing and total running expense
2 sessions · 8 pointsSession 1What breaks first when quantum computing algorithms meets real volume
- Reduce the variation in how quantum computing algorithms is carried out between teams.
- Plan how quantum computing algorithms is versioned and how a bad release is rolled back.
- Establish who is informed, consulted and accountable in quantum computing algorithms.
- Classify the data in quantum computing algorithms and apply access controls that match the classification.
Session 2Building lasting competence in quantum computing algorithms
- Set the metrics that will show whether quantum computing algorithms is drifting from its intended behaviour.
- Rehearse the briefing on quantum computing algorithms that would follow an incident.
- Identify every system quantum computing algorithms must read from or write to.
- Draft the minimum viable delivery roadmap for quantum computing algorithms.
Quantum computing algorithms: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1The pilot that actually settles the argument about quantum computing algorithms
- Agree who is on call for quantum computing algorithms outside working hours.
- Confirm that contractual obligations around quantum computing algorithms are understood.
- Measure the current quality of the data feeding quantum computing algorithms before assuming it is usable.
- Confirm the retention and deletion rules applied to data inside quantum computing algorithms.
Session 2Making quantum computing algorithms secure without making it unusable
- Write down the assumptions underpinning the approach to quantum computing algorithms.
- Build the competence framework that supports quantum computing algorithms.
- Define the service level quantum computing algorithms must meet and what happens when it is missed.
- Estimate compute and licensing cost for quantum computing algorithms at expected and at peak load.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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