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'Speedup' is how much faster quantum computing solves a problem as compared to classical computing. Problem in consideration is generic and imaginary for illustrative purposes. Source: Expert interviews", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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Quantum technology can provide new encryption protocols with enhanced security.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:21:50.317+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3a4e4465-370b-45a6-8cb0-68e0aaf1f707", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.48 }, "kind": "list", "text": "Hybrid ML/AI problems: Quantum algorithms can reduce the training time for ML/AI models, especially in the most computationally intensive layers by providing at least polynomial speed up in learning certain data classes.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:21:50.317+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f07c08e-cf66-494c-a01f-a9e32d539374", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.52, "y": 0.275 }, "kind": "list", "text": "Optimization problems: Optimization algorithms aim to minimize the cost function based on multiple parameters. Classical algorithms are advantageous in sectioning the bigger problems into digestible smaller problems which quantum algorithms can calculate faster.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:21:50.317+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b85a96bd-d0ff-4550-9a96-11e99c02597b", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.4, "x": 0.04, "y": 0.915 }, "kind": "source-note", "text": "Source: Partnership for Advanced Computing in Europe, National Renewable Energy Laboratory", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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Fault-tolerant (FT) algorithms cannot be performed on noisy intermediate-scale quantum (NISQ) or early FT devices at scale to demonstrate quantum advantages, due to hardware limits, such as circuit volume, execution time, and noise level", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:22:00.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f3b2fb7-7454-402c-8da8-e66407d3e071", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: Jean-Charles Cabelguen, \"Why analog neutral atoms quantum computing is the most promising direction for early quantum advantage,\" Pasqal, July 6, 2022; Adam Callison and Dan E. Browne, \"Improved maximum-likelihood quantum amplitude estimation,\" arXiv, September 7, 2022", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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