Seize. Quantum. Advantage.

Flexible deployments to suit your organisation’s requirements
Boost classical ML performance by incorporating quantum features
Specialised for materials discovery and chemistry
/ QML
Quantum machine learning
Our quantum feature generator for machine learning exploits the power of quantum mechanics to identify hidden insights and value in your data.
By combining classical and quantum processors we enhance the accuracy of machine learning models, particularly for time series data and sparse data sets.
Take advantage of the power of QML, today.
Watermelon, SQC’s quantum machine learning processor, is currently available to purchase and via cloud access.
Learning processor
Schematic of our quantum-enhanced machine learning processor, WaterMelon, that allows us to perform quantum reservoir computing for a variety of machine learning applications (finance, defence, transport, communications, energy, pharmaceutical).
SIMULATION
Quantum Twins
A window onto commercial scale quantum chemistry
At SQC, we manufacture on the atomic scale. This exquisite precision enables us to create custom chips that physically encode direct analogs of your desired quantum system, enabling customers to understand what is beyond classic computation. Excited? You should be.
Our commercial and product teams work directly with you:
To understand the specific structures that you want to explore and optimize
To tune and scale our representations of your complex systems
To deliver insights and answers unattainable on any other platform
Quantum Twins our analog quantum processors are available via a direct contract with SQC.

/ QUBITS
Jalapeño 1
A unique advantage of SQC’s 14|15 qubits is our extremely high fidelity algorithmic performance.
With long T1 times, we observe minimal bit-flip errors.
We achieve beyond break-even fidelities with just 3 physical qubits, paving the way for efficient and effective error correction.
