Quantum Simulation & Optimization (S&O) merges quantum- and AI-based computational methods to make predictions and to guide business decisions with incredible precision. Numerous functions across nearly every industry will be revolutionized, including drug discovery, materials development, financial modeling, supply chain logistics, and more.
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.