JoS QUANTUM is a quantum AI algorithm boutique.
Introducing our sovereign software stack qeqo for quantum technology at scale
- Full-stack software framework for distributed quantum computing and networking.
- Low-code user interface to design and test quantum networks: Geqo Studio (GS).
- Event-driven quantum-classical workflow: (Geqo Flow).
- Open sourced core engine with basic functions, compiler, simulator and backends (Geqo Core)
- Foundation for scalable quantum computing programs and the quantum internet.
For a demo of our setup
Research as a Service
- Workshops and knowledge transfer: Understanding potentials and risks from quantum technologies.
- Quantum Algorithms Research: Conducting research on quantum algorithms.
- Quantum Readiness Assistance: Assisting organizations in becoming quantum-ready.
- Quantum-proof your security: Assessing and mitigate future quantum threats with PQC and QKD.
Research Papers:
- QKD as a Quantum Machine Learning task
- Quantum amplitude estimation with error mitigation for time-evolving probabilistic networks
- Quadratic Unconstrained Binary Optimization Approach for Incorporating Solvency Capital into Portfolio Optimization
- Towards optimization under uncertainty for fundamental models in energy markets using quantum computers
- Error Resilient Quantum Amplitude Estimation from Parallel Quantum Phase Estimation
- A Quantum Algorithm for the Sensitivity Analysis of Business Risks
- QKD as a Quantum Machine Learning task
- Quantum amplitude estimation with error mitigation for time-evolving probabilistic networks
- Quadratic Unconstrained Binary Optimization Approach for Incorporating Solvency Capital into Portfolio Optimization
- Towards optimization under uncertainty for fundamental models in energy markets using quantum computers
- Error Resilient Quantum Amplitude Estimation from Parallel Quantum Phase Estimation
- A Quantum Algorithm for the Sensitivity Analysis of Business Risks
Software & Tools
- Geqo Core: a framework for constructing and describing quantum circuits.
- pygrnd: modeling high level quantum algorithms for specialized applications.
- hyviz: Visualizing properties of quantum-classical hybrid systems, such as the loss landscape of a VQA.
- heatdiff: A package for image processing using the heat semigroup.
- financial-copilot: A financial AI assistant designed to automate workflows and data analysis in financial business units, easily integratable via Microsoft Azure, Google Cloud, others and local, self-hosted open-source models.
AI services and data-driven business intelligence solutions
- Knowledge databases for internal data accessible to AI agents.
- Integration of RAG pipelines that are compatible with all relevant language models.
- Integration of fine-tuning pipelines that keep internal AI agents up to date.
- German finance LLM that can support the AI workforce in business units.
- Customization of pipelines with an easily accessible framework to meet your specific needs.
You can contact us via contact 'at' jos-quantum.de.
You find a blog on LinkedIn.