SandboxAQ uses classical hardware to combine fast and accurate quantum mechanical predictions with AI-driven insights – what we call AQ technologies – to deliver practical impact. AQ is not one technology, but a sum of multiple techniques (tensor networks, quantum chemistry, generative modeling, NLP, and others) that our S&O teams apply to develop new chemical compounds for accelerating drug discovery and materials science. By running quantum-inspired algorithms on distributed networks, including using novel chip architectures such as GPUs and TPUs [1] [2] [3] [4] [5], we set new standards of computational accuracy and usefulness.
Our algorithms today run on the latest generation of classical CPUs and GPUs, using methods based on quantum algorithm development. These algorithms continuously improve along with advances in quantum computing, enabling our customers to benefit today from the highest-fidelity results possible without needing quantum hardware. As soon as scalable, error corrected quantum computers become available, our algorithms will leverage their power to deliver even more enhanced performance and invaluable insights.
SandboxAQ has built a global team with some of the world’s foremost experts in AQ, including physicists, biologists, computational and medicinal chemists. We are working with global enterprises and government organizations to deliver practical solutions to the market today. Our expertise and deep ties with quantum leaders in academia, industry and the government make SandboxAQ uniquely qualified to develop unmatched quantum simulation and optimization applications.
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