{"id":1081,"date":"2025-11-26T16:17:44","date_gmt":"2025-11-26T07:17:44","guid":{"rendered":"https:\/\/www.mindware-jp.com\/en\/?page_id=1081"},"modified":"2025-11-26T16:32:26","modified_gmt":"2025-11-26T07:32:26","slug":"quantum-x-ai-fusion-maps","status":"publish","type":"page","link":"https:\/\/www.mindware-jp.com\/en\/quantum-x-ai-fusion-maps\/","title":{"rendered":"Quantum \u00d7 AI Fusion Maps"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Overview<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Quantum \u00d7 AI Fusion Maps<\/strong> are a structured collection of corporate initiatives, research themes, application fields, and technical architectures in the fusion domain of quantum technologies (quantum computing, quantum sensing, quantum communication) and AI\/machine learning technologies.<br>They are organized using <strong>ConceptMiner&#8217;s Growing Neural Gas (GNG) + Minimum Spanning Tree technology<\/strong>, and systematized as multiple Perception Maps (conceptual structure maps).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is not a conventional technical report. Using only text information and supplementary data collected from the internet, it is<strong> an entirely new type of knowledge product that visualizes the structure of technical domains<\/strong> through the combination of large language models (LLMs) and data mining.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quantum AI is an \u201cEmerging Market\u201d where research, technology, applications, and demonstration environments evolve rapidly, making it extremely difficult to intuitively grasp its complex relational structure. This series organizes that complexity into multi-layered Perception Maps, enabling <strong>understanding as a structured framework<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Release date<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">April 3, 2026 (Version 1.0 Initial Release)<br>Subsequent updates (1.1 \/ 1.2) including additional models will be released sequentially.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Included Perception Maps (examples)<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quantum \u00d7 AI spans a wide range of technology categories, research domains, and application fields.<br>Therefore, we will release approximately <strong>15 to 20 models<\/strong> in phases through Version 1.0 to 1.2.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The following are representative examples of some of these models (subject to adjustment at official release).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Models(sample)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Quantum Computing \u00d7 AI Application Domain Map<br>(Quantum Optimization, Quantum Machine Learning, Molecular Simulation)<\/li>\n\n\n\n<li>Quantum AI Startups\/Research Institutions Map<br>(Key Players in the US, Europe, Japan, and Asia)<\/li>\n\n\n\n<li>Quantum Machine Learning (QML) Algorithm Structure Map<br>(VQA, QAOA, QNN, etc.)<\/li>\n\n\n\n<li>Quantum Communication \u00d7 AI Security Domain Map<br>(Quantum Cryptography and Security Applications)<\/li>\n\n\n\n<li>Quantum Sensing \u00d7 AI Map<br>(Medical, Materials, and Environmental Sensing Applications)<\/li>\n\n\n\n<li>\u201cQuantum-Accelerated AI\u201d Map Aiming for Faster Learning and Inference<br>(Convergence Area of QPU\/TPU\/GPU)<\/li>\n\n\n\n<li>Industrial Applications (Pharmaceuticals, Materials Science, Finance) Map<br>(Proof-of-Concept Experiments, PoC Projects, and Achievement Clusters)<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0\u00a0<strong>Notable trends (analysis and commentary)<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the field of quantum \u00d7 AI convergence, the following research acceleration \u00d7 technology integration \u00d7 industrial validation initiatives are underway.<br>This Maps provides these complex structures as a visualized conceptual framework.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>The experimental domain of quantum machine learning (QML) is rapidly expanding.<\/strong><br>Quantum machine learning methods such as VQA\/QAOA\/QNN are increasing,<br>blurring the boundary between QPUs and GPUs.<\/li>\n\n\n\n<li><strong>\u201cProof-of-concept driven\u201d quantum AI accelerates in pharmaceuticals, materials, and finance<\/strong><br>Shifting from research paper-centric approaches<br>to corporate-led PoCs (drug discovery, risk calculation, materials exploration).<\/li>\n\n\n\n<li><strong>The combination of quantum computing and generative AI emerges<\/strong><br>Generative AI assists quantum circuit design,<br>giving rise to new domains like <strong>\u201cQLLM\u201d and \u201cquantum \u00d7 generative AI\u201d<\/strong>.<\/li>\n\n\n\n<li><strong>Quantum sensing integrates with AI, advancing practical applications<\/strong><br>Improved sensing accuracy in healthcare, materials, and environmental fields<br>is a key focus.<\/li>\n\n\n\n<li><strong>A \u201ctripolar structure\u201d emerges among Europe, the US, Japan, and China<\/strong><br>Quantum \u00d7 AI is a geopolitically significant domain,<br>with distinct national research clusters becoming clearer.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Deliverables<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1.Shared Browser Access Model (Perception Maps)<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">No ConceptMiner license required.<br>Interactive operation possible from the provided URL.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Thematic Overview Report (PDF).<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Structure of the Quantum \u00d7 AI Market<\/li>\n\n\n\n<li>Overview of Key Technologies<\/li>\n\n\n\n<li>Summary of Model Groups<\/li>\n\n\n\n<li>Trend Analysis<\/li>\n\n\n\n<li>Overview of Data Collection Methods<br>(Differential PDF distributed upon version updates)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Version update notification (email)<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Version 1.0 \u2192 1.1 \u2192 1.2<br>Release information for additional models and clusters has been released<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u25a0 Price and Purchase<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Regular Price: USD 1,333<br><strong>Pre-order Price: USD 1,133<\/strong>&nbsp;(until December 20, 2025)<\/li>\n\n\n\n<li>Pay online through Stripe<\/li>\n\n\n\n<li>URLs and PDF will be sent via email after publication.<\/li>\n\n\n\n<li>Additional models will be automatically delivered.<\/li>\n\n\n\n<li><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Target users<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Quantum technology researchers<\/li>\n\n\n\n<li>Companies interested in quantum AI (pharmaceuticals, finance, materials, etc.)<\/li>\n\n\n\n<li>R&amp;D departments \/ Technology strategy departments<\/li>\n\n\n\n<li>Investors (VC\/CVC)<\/li>\n\n\n\n<li>Universities \/ Research institutions<\/li>\n\n\n\n<li>Experts seeking an overview of emerging technology fields<\/li>\n\n\n\n<li><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u25a0&nbsp;<strong>Release Schedule<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Released <strong>April 3, 2026<\/strong> (first version: Version 1.0).<br>Versions 1.1 and 1.2 will be released between 2 and 6 weeks later.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.mindware-jp.com\/en\/emerging-market-perception-map-series-empm-series\/\" data-type=\"page\" data-id=\"1033\">&lt; Back<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u25a0&nbsp;Overview Quantum \u00d7 AI Fusion Maps are a structured collection of corporate initiatives, research themes, application fields, and technical architectures in the fusion domain of quantum technologies (quantum computing, quantum sensing, quantum communication) and AI\/machine learning technologies.They are organized using ConceptMiner&#8217;s Growing Neural Gas (GNG) + Minimum Spanning Tree technology, and systematized as multiple Perception [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1081","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/1081","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/comments?post=1081"}],"version-history":[{"count":4,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/1081\/revisions"}],"predecessor-version":[{"id":1091,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/1081\/revisions\/1091"}],"wp:attachment":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/media?parent=1081"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}