Solve partial differential equations and complex multi-physics problems with IBM Quantum QPUs.
Experiment optimal investment strategies across dynamic portfolio optimization problems.
Solve approximate molecular ground states using an iterative subspace diagonalization, with computational efficiency and accuracy
Automated workflow to solve optimization problems up to 156Q, leveraging circuit compression and counterdiabatic protocols.
Solve real-world classification problems on quantum hardware without requiring quantum expertise.
Solve optimization problems at full device size (156Q) from high-level inputs, automatically & efficiently achieving high-accuracy results at utility-scale.
Calculate the ground state energy of molecules and generate the corresponding statevector.