Quantum
Exploring quantum computational approaches for visual learning, representation, and optimisation problems.
- Quantum Machine Learning
- Quantum Optimization
- Quantum Annealing
- Hybrid Quantum-Classical
QUANTUM + AI + AGENTIC INTELLIGENCE
ORCHESTRATE.OPTIMIZE.DELIVER IMPACT.
AI ORCHESTRATION | INTELLIGENT OPTIMIZATION | REAL-WORLD IMPACT
Qaankunka develops intelligent visual systems combining Quantum Machine Learning, quantum optimization, artificial intelligence, and agentic orchestration for images and video.
Agent network / 01
Hybrid systems
The Convergence
Three pillars. One intelligence.
Quantum computing, artificial intelligence, and agentic orchestration converge into visual intelligence for imagery and video.
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AI
Applying perception, learning, and generation capabilities to understand and create visual media.
- Computer Vision
- Machine Learning
- Generative AI
- Image & Video Intelligence
03
Agents
Coordinating specialised intelligence and computational resources through agentic orchestration.
- Agentic AI
- Planning
- Reasoning
- Tool Selection
- Orchestration
Visual Intelligence
Images + Video
/FOUNDERS & BUILDERSTHE PEOPLE BEHIND THE SYSTEM
We work with quantum researchers, AI visionaries, and computational pioneers who see visual intelligence through a different mathematical lens build what does not yet exist across hybrid quantum-classical architectures and turn complex mathematical theory into visual systems that create meaningful impact.
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PROGRESSIVE REVEALACTIVE
/03Research intent
We investigate emerging technologies through practical visual applications, moving from mathematical formulation through prototypes and demonstrators toward real-world deployment.
Idea → signal → systemScroll to reveal
What We Build
We build intelligence for visual media.
Five core capabilities that span the full spectrum of visual intelligence — from creation and understanding to transformation, optimisation, and orchestration.
01
Create
AI-assisted creation of images and video, combining generative models with intelligent visual understanding.
02
Understand
Analyse images and video using AI, computer vision and emerging QML approaches for visual comprehension.
03
Transform
Intelligently modify, enhance, stylise, reconstruct and transform visual media with precision.
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Optimise
Apply classical, quantum-inspired and quantum optimisation to suitable visual problems and constraints.
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Orchestrate
Coordinate specialised agents, models, optimisation engines and computational resources.
Agentic Visual Intelligence
Research ConceptIntelligence that orchestrates itself.
Qaankunka can use specialised agents to decompose complex visual objectives and coordinate the appropriate AI models, optimisation methods and computational resources.
System view
Orchestration map
A visual research concept for how specialist agents could be coordinated around a visual task.
Vision86%
Creative64%
QML72%
Optimisation91%
Select an agent node to inspect its proposed role, input, and output.
Quantum Machine Learning
Quantum Machine Learning for Visual Intelligence
Qaankunka investigates how quantum machine learning can contribute to visual learning, representation, pattern recognition and optimisation, including hybrid architectures in which quantum and classical machine learning work together.
Image / Video
Feature Extraction
Classical ML + QML
Hybrid Intelligence
Visual Understanding
Hybrid Architecture
Classical systems handle data preprocessing, feature extraction, and post-processing, while quantum subroutines address specific learning sub-problems where quantum representations may offer advantages.
Research Focus
- Quantum feature maps for visual data
- Variational quantum circuits for classification
- Hybrid QML/classical pipeline design
Quantum Optimization
Optimising complex visual decisions.
Visual problems can involve extremely large combinatorial search spaces. Qaankunka investigates quantum and quantum-inspired optimisation for visual problems where large combinatorial search spaces make optimisation valuable.
QUBO
Ising Models
Quantum Annealing
Adiabatic Optimisation
Hybrid Optimisation
Many Possible Configurations
Optimisation Landscape
Candidate Solutions
Selected Solution
Intelligent Pixelation
Research DemonstratorPixelation, reimagined.
Traditional pixelation applies a predetermined uniform transformation. Qaankunka explores intelligent pixelation as an optimization problem, combining visual importance maps with quantum-inspired constraint formulations.
Original Image
AI Visual Analysis
Optimisation Problem
Pixel Representation
Optimised Result
Research Telemetry
Preservation
94.2%
Entropy Rate
1.42 bit/px
QUBO Terms
64 QUBO terms
Slide to compare
Standard
Intelligent
This browser-based demonstrator simulates adaptive block-size pixelation informed by feature density maps. No quantum hardware is connected — this is a visual research concept.
Image to Video
From pixels to moving worlds.
Video introduces temporal complexity beyond static imagery — requiring consistency, motion understanding, and frame-to-frame coherence alongside visual quality.
Image
Visual Understanding
Temporal Representation
AI + Quantum / Optimisation
Video
timeline
- Temporal consistency
- Motion analysis
- Object tracking
- Scene understanding
- Frame-to-frame continuity
- Visual quality
- Temporal optimisation
Research to Application
From research to real-world impact.
Qaankunka investigates emerging Quantum + AI technologies through practical visual applications, moving from research and mathematical formulation toward prototypes, demonstrators and commercial opportunities.
1
Research
Investigating emerging approaches
2
Algorithm
Mathematical formulation
3
Prototype
Initial implementation
4
Benchmark
Systematic evaluation
5
Demonstrator
Interactive proof-of-concept
6
Application
Applied to visual problems
7
Real-World Use
Commercial deployment
Start a conversation
Explore what's possible.
Connect with Qaankunka to discuss Quantum + AI research, collaboration, and visual intelligence.