PROBLEMS
Understanding molecular behavior is key to help solve the most pressing problems society is facing, such as in climate change, drug discovery, and material science. However, predicting the properties of a molecule with accuracy can only be done for molecules with a few atoms. For instance simulating a 24-atom caffeine on today’s classical computers would take longer than the age of the universe. Quantum computing holds the promise to advance significantly in addressing large-scale molecular dynamic simulations.
SOLUTIONS
Quandela developed a state-of-the-art method that combines molecule fragmentation techniques such as Density Matrix Embedding Theory (DMET) and Variational Quantum Eigensolvers (VQEs) to tackle large molecules simulations.
BENEFITS
Our solution is on track to compute the properties of realistic chemical systems by increasing ground energy accuracy, with the potential to tackle largely entangled subsystems of proteins.