Quzones / Quantum & AI research

Where quantum meets intelligence.

Research directions developed by Automatski, our quantum and AI R&D partner, and explored through Dimechain’s dedicated Quzones brand.

Explore the research library

Browse quantum and AI research topics, their context and the questions worth testing.

01 / Post-transformer AI

Explore a different compute footprint.

The Post Transformer AI Venture brief describes experiments that replace selected layers in Llama 2, 3 and 4 with quantum layers. Its stated objective is to reduce model size and memory requirements while preserving useful model capability.

This direction sits alongside research into alternative architectures, training algorithms and inference systems. Evaluations need to account for model quality, end-to-end compute, backend requirements and reproducibility.

We evaluate post-transformer architectures against defined workloads and classical baselines. Performance, training requirements and integration suitability are established through reproducible evaluation.

02 / Quantum & alternative AI

Several approaches. One research question.

Research program

Quantum neural networks

Quantum and hybrid model development using frameworks including PennyLane, Qiskit Machine Learning and sQULearn.

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Research program

Quantum machine learning

Machine-learning workflows designed to connect familiar development interfaces with quantum execution backends.

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Research implementation

Quantum Transformers

Models designed to represent quantum-mechanical problems in physics and chemistry.

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Reference implementation

Quantum Large Language Model

A training and inference pipeline described for a tensor-network simulator or Automatski’s quantum backend.

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Probabilistic computing

Pithanos

A probabilistic-programming research framework for uncertainty-aware modeling and inference.

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Neuromorphic research

Akida (Automatski)

Spiking neural networks for event-based perception, monitoring, robotics and edge computing. The research also explores reinforcement-learning integrations.

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Cognitive computing

Diastaseis

Hyperdimensional computing and vector symbolic architectures for reasoning, classification, memory, graph processing and hybrid AI.

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03 / Research into practice

Ask. Measure. Learn.

Quzones helps frame useful experiments around optimization, chemistry, materials, simulation and quantum AI. Dimechain connects that work with enterprise product engineering and on-demand engagements.

Dimechain research directions ↗

Agree the dataset and classical baseline, specify the partner component and test the outcome against the cost of execution and integration. A bounded experiment should produce a useful finding even when it does not show an advantage.

Discuss a research question ↗

04 / Healthcare AI concepts

Research across clinical data.

The earlier Quzones portfolio describes DIM-12 and RadiologyGPT as research directions connecting imaging, pathology, genomics and AI. Their proposed architecture brings deep learning together with quantum neural networks and reasoning methods.

Research concept

DIM-12

Exploration of multimodal oncology models, pattern analysis, explainability and uncertainty, including quantum and neuro-symbolic components.

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Research concept

RadiologyGPT

Exploration of multimodal imaging assistance and report preparation, including images, text, audio and clinical-system integration.

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These are exploratory healthcare research concepts. Clinical validation and regulatory assessment would be required before any diagnostic use.

05 / Quzones research directions

Explore the questions.

The Quzones portfolio spans 30 directions across science and industry. The current Dimechain research index identifies 28 as concepts and two as in development. These labels describe the research program, rather than completed client outcomes.

Climate, energy & sustainability5 directions

Concept

Quantum Accelerated Climate Forecasting

Investigate climate and weather models that combine large datasets with computational simulation.

Concept

Quantum Powered Carbon Capture Modeling

Study materials and processes for capturing carbon, including molecular interactions and process optimization.

Concept

Quantum Informed Climate Modeling

Explore how quantum and hybrid methods could support atmospheric and ocean-flow modeling.

Concept

Power Grid Optimisation

Evaluate load balancing, network constraints, renewable integration and grid resilience.

Concept

Quantum Powered Smart Mobility

Study coordinated routing, fleet dispatch and multimodal transport for urban systems.

Materials & fluid dynamics6 directions

Concept

High Entropy Alloys For Aerospace

Explore alloy compositions and their stability, strength and thermal properties.

Concept

Programmable Matter Smart Polymers

Investigate molecular structures and material responses for adaptive polymers.

Concept

Quantum Encrypted Materials Databases

Examine protection and controlled exchange of sensitive materials-research data.

Concept

Quantum Simulations For Molecular Design

Explore molecular energy and interaction models for candidate materials and compounds.

Concept

Hypersonic Aerodynamics

Study high-speed flow, heat transfer and aerodynamic modeling as computational research problems.

In development

Quantum Enhanced Turbulence Modeling

Investigate hybrid approaches to complex, multiscale fluid-flow simulation.

Logistics & operations4 directions

In development

Real Time Route Optimization

Investigate routing under changing travel times, fleet constraints and delivery requirements.

Concept

Demand Forecasting

Explore prediction and uncertainty in demand to support inventory and capacity decisions.

Concept

Warehouse Management

Study inventory positioning, order processing and resource allocation within warehouse operations.

Concept

Last Mile Delivery Enhancements

Evaluate dispatch and routing options for the final stage of delivery.

Healthcare & life sciences6 directions

Concept

Optimized Cancer Treatment

A research concept for computational modeling of treatment planning and response.

Concept

Personalized Medicine

Explore models that combine biological and patient data for precision-medicine research.

Concept

Rapid Genomic Sequencing

Investigate computational approaches to genomic analysis and sequencing workflows.

Concept

Advanced Medical Imaging

Study imaging reconstruction, pattern analysis and assisted interpretation.

Concept

Quantum-Powered Cancer Detection AI by Quzones

A research concept combining imaging, pathology and hybrid AI methods for oncology.

Concept

Quantum Powered Protein Design

Explore protein structure, folding and interaction models for discovery research.

Drug discovery3 directions

Concept

Accelerated Drug Screening

Investigate computational screening of candidate molecules and drug-target interactions.

Concept

Molecular Optimization

Explore candidate structures, binding properties and compound refinement.

Concept

Targeted Drug Design

Study molecular modeling approaches to designing compounds for specific biological targets.

Finance & decision science6 directions

Concept

Insurance

Explore risk estimation, pricing and scenario modeling under uncertainty.

Concept

Targeting And Prediction

Investigate predictive models and decision-support applications.

Concept

Trading Optimization

Study constrained trading decisions, execution and computational optimization.

Concept

Risk Management

Explore scenarios, dependencies and uncertainty in financial portfolios.

Concept

Portfolio Optimisation

Evaluate asset allocation under risk, return and investment constraints.

Concept

Quantum AI-Driven Portfolio Optimization

A research concept joining quantum optimization and AI-based portfolio analysis.

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Research directions

Research direction

Quantum Accelerated Climate Forecasting

Investigate climate and weather models that combine large datasets with computational simulation.