StarckGate AI is advancing quantum computing by developing quantum processors and novel quantum algorithms to help researchers and developers solve near-term problems both theoretical and practical.
We think quantum computing will help us develop the innovations of tomorrow, including AI. That’s why we’re committed to building dedicated quantum hardware and software today.
Quantum computing is a new paradigm that will play a big role in accelerating tasks for AI. We want to offer researchers and developers access to open source frameworks and computing power that can operate beyond classical capabilities.
Simulation of physical systems is among the most anticipated applications of quantum computing. We especially focus on quantum algorithms for modelling systems of interacting electrons with applications in chemistry and materials science.
Quantum neural networks
We are developing a framework to implement a quantum neural network on near-term processors. We are interested in understanding what advantages may arise from generate massive superposition states during operation of the network.
Reducing two-qubit loss below 0.2% is critical for error correction. We are working on a quantum supremacy experiment, to approximately sample a quantum circuit beyond the capabilities of state-of-the-art classical computers and algorithms.
Quantum assisted optimization
We are developing hybrid quantum-classical solvers for approximate optimization. Thermal jumps in classical algorithms to overcome energy barriers could be enhanced by invoking quantum updates. We are in particular interested in coherent population transfer.