■ Overview
Quantum × 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’s Growing Neural Gas (GNG) + Minimum Spanning Tree technology, and systematized as multiple Perception Maps (conceptual structure maps).
This is not a conventional technical report. Using only text information and supplementary data collected from the internet, it is an entirely new type of knowledge product that visualizes the structure of technical domains through the combination of large language models (LLMs) and data mining.
Quantum AI is an “Emerging Market” 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 understanding as a structured framework.
■ Release date
April 3, 2026 (Version 1.0 Initial Release)
Subsequent updates (1.1 / 1.2) including additional models will be released sequentially.
■ Included Perception Maps (examples)
Quantum × AI spans a wide range of technology categories, research domains, and application fields.
Therefore, we will release approximately 15 to 20 models in phases through Version 1.0 to 1.2.
The following are representative examples of some of these models (subject to adjustment at official release).
Models(sample)
- Quantum Computing × AI Application Domain Map
(Quantum Optimization, Quantum Machine Learning, Molecular Simulation)
- Quantum AI Startups/Research Institutions Map
(Key Players in the US, Europe, Japan, and Asia)
- Quantum Machine Learning (QML) Algorithm Structure Map
(VQA, QAOA, QNN, etc.)
- Quantum Communication × AI Security Domain Map
(Quantum Cryptography and Security Applications)
- Quantum Sensing × AI Map
(Medical, Materials, and Environmental Sensing Applications)
- “Quantum-Accelerated AI” Map Aiming for Faster Learning and Inference
(Convergence Area of QPU/TPU/GPU)
- Industrial Applications (Pharmaceuticals, Materials Science, Finance) Map
(Proof-of-Concept Experiments, PoC Projects, and Achievement Clusters)
■ Notable trends (analysis and commentary)
In the field of quantum × AI convergence, the following research acceleration × technology integration × industrial validation initiatives are underway.
This Maps provides these complex structures as a visualized conceptual framework.
- The experimental domain of quantum machine learning (QML) is rapidly expanding.
Quantum machine learning methods such as VQA/QAOA/QNN are increasing,
blurring the boundary between QPUs and GPUs.
- “Proof-of-concept driven” quantum AI accelerates in pharmaceuticals, materials, and finance
Shifting from research paper-centric approaches
to corporate-led PoCs (drug discovery, risk calculation, materials exploration).
- The combination of quantum computing and generative AI emerges
Generative AI assists quantum circuit design,
giving rise to new domains like “QLLM” and “quantum × generative AI”.
- Quantum sensing integrates with AI, advancing practical applications
Improved sensing accuracy in healthcare, materials, and environmental fields
is a key focus.
- A “tripolar structure” emerges among Europe, the US, Japan, and China
Quantum × AI is a geopolitically significant domain,
with distinct national research clusters becoming clearer.
■ Deliverables
1.Shared Browser Access Model (Perception Maps)
No ConceptMiner license required.
Interactive operation possible from the provided URL.
2. Thematic Overview Report (PDF).
- Structure of the Quantum × AI Market
- Overview of Key Technologies
- Summary of Model Groups
- Trend Analysis
- Overview of Data Collection Methods
(Differential PDF distributed upon version updates)
3. Version update notification (email)
Version 1.0 → 1.1 → 1.2
Release information for additional models and clusters has been released
■ Price and Purchase
- Regular Price: USD 1,333
Pre-order Price: USD 1,133 (until December 20, 2025)
- Pay online through Stripe
- URLs and PDF will be sent via email after publication.
- Additional models will be automatically delivered.
■ Target users
- Quantum technology researchers
- Companies interested in quantum AI (pharmaceuticals, finance, materials, etc.)
- R&D departments / Technology strategy departments
- Investors (VC/CVC)
- Universities / Research institutions
- Experts seeking an overview of emerging technology fields
■ Release Schedule
Released April 3, 2026 (first version: Version 1.0).
Versions 1.1 and 1.2 will be released between 2 and 6 weeks later.
< Back