Hybrid Classical-Quantum Compute

Hybrid quantum chemistry combines classical simulation, AI, and trapped-ion quantum processors to target the hardest chemical problems. By partitioning workflows so strongly correlated subproblems run on quantum hardware and the surrounding environment runs classically, organizations can move from isolated quantum experiments to scalable, decision-grade simulations for chemistry and materials science.

Hybrid compute combines cloud, AI, and quantum systems into a single, coordinated architecture that routes each workload to the most effective execution environment. This approach delivers scalability, performance, and resilience that no single computing paradigm can achieve alone.