Quantum Algorithms & Machine Learning
Accelerating your existing capabilities with Quantum Computers & Quantum Simulators
Quantum computing promises accelerated capabilities across a vast range of application areas including Machine Learning, Optimisation & Simulation. We are platform agnostic and focus on building tools which make an impact for you, today.
Foundational Quantum Large Language Models
At SECQAI, we have developed our own proprietary techniques for utilising quantum computation for Large Language Models (LLMs), proving an advantage today. We conducted over a thousand experiments in Quantum LLMs (QLLMs) to identify the best approach.
We have launched our beta QLLM to a select number of customers. Contact us if you would like to learn more about QLLMs and join our partner program.
Financial Services
Quantum computing has the potential to revolutionise financial services with current state of the art in six different categorised approaches. The most promising for near-term advantage is using the quantum kernel method for better classification, an approach which has been adopted & deployed in Financial Services.
Automotive & Aeronautical Engineering
Computational Fluid Dynamics (CFD) relies on both meshes and Partial Differential Equation (PDE) solvers, both of which can be accelerated using quantum techniques, with advantages demonstrated today. Whilst CFD plays an important part in aeronautics, a combination of Quantum Machine Learning (QML) & Quantum PDE solvers are used to innovate new materials for use, with far reaching applications, including battery innovation.
Healthcare
Quantum chemistry has a profound impact in drug discovery with the potential to revolutionise healthcare. Quantum computing can aid in the discovery of new medicines, deploying models that would require a supercomputer to run today. QML in healthcare enables use-cases that aren’t feasible for existing ML techniques: from multi-domain data-set analysis (e.g. phenotypic and genotype data) through to improved classification of hard-to-determine cancerous cells.
How we work with our clients
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1. Define Use Cases & Prioritise
Collaborative work is our default.
We work with you to define the most impactful use cases, then prioritise these with you and your stakeholders. It’s important to ensure that we target opportunities where Quantum Computing can deliver a benefit today.
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2. Model Development & Testing
Every client is different & transparency is important.
We assess the best models to suit your requirements, testing with publicly available (comparable) datasets, so you can see and verify the advantage yourself.
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3. Integration & Scaling Assessment
It needs to work for your infrastructure stack.
To ensure seamless deployment, we help ensure it fits your specific integration requirements. That means considering everything from privacy through to on-premises & cloud deployment.
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4. Use Case Specific Training
A tailored suit fits better than one off the rack.
Where model fine-tuning might be required (e.g. in machine learning), we help you to integrate with your data sets and tune the models on this specific, real-world data.
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5. Deploy & Support
Our client relationships are partnerships. We want you to succeed.
We’re here for you throughout your journey: we know that business & technical architectures change over time.
