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1、QUANTUM TECHNOLOGIES AND THE FUTURE OF LEARNING March 2025Quantum technologies and the future of learning 1TABLE OF CONTENTSExecutive summary .2Part I.ITCILOs emerging technology taxonomy:Context and proposal .151.1.summary of Part i .151.2.draft itcilo taxonomy to be reviewed .171.3.Pparison of tax

2、onomies.201.5.treatment of quantum technologies.211.6.considerations for a revised taxonomy.22Part II.Quantum technologies assessment .282.1.summary of Part ii.282.2.Quantum technology assessment method.342.3.Quantumstrandssummary&definitions.352.4.timeline assessment of quantum computing capabiliti

3、es .372.5.encryption technologies and the quantum internet.422.6.relevance assessment of claimed application use cases .432.7.cross-strand timeline assessment.45Part III.Prioritised quantum technologies:More detailed assessment .573.1.Quantum ai/ml algorithms for learning review for itcilo near-term

4、 relevance.573.2.Quantum readiness capacity development provision analysis.673.3.suggestions summary.88Appendix 1 Prioritised taxonomies for comparison .93Appendix 2 Potential additional infrastructure domains .101Appendix 3 Example government strategies and roadmaps .102ppendix 4 Sample public quan

5、tum computing roadmaps .109Appendix 5 Glossary of Terms .113Appendix 6 Quantum 101 .1172Quantum technologies and the future of learning EXECUTIVE SUMMARYitcilo context for this reportitcilo has a mandate to monitor emerging technologies and investigate opportunities for innovation to enhance learnin

6、g and capacity building.this mandate builds on itcilos track record of being early to technologies in the context of the large-scale training sector.1 Within thatmandate,ourworkstreamhasfocusedonrefiningITCILOstaxonomyofemergingtechnologies as a practical tool for directing that research in general