Behind
Quantum
Radiotherapy
Optimization
The goal when devising a radiation plan is to minimize the collateral damage to the surrounding tissue and body parts, a very complicated optimization problem with thousands of variables. To arrive at the optimal radiation plan requires many simulations until an optimal solution is determined. With a quantum computer, the horizon of possibilities that can be considered between each simulation is much broader. But HPC is still the more powerful computation tool for running simulations. Using the quantum computer with an HPC system will allow faster convergence on an optimal design than is attainable by using HPC alone.
Protein
Folding
Simulating the folding of proteins could lead to a radical transformation of our understanding of complex biological systems and our ability to design powerful new drugs. This application looks into how to use a quantum computer to explore the possible folding configurations of these interesting molecules. With an astronomical number of possible structural arrangements, protein folding is an enormously complex computational problem. Scientific research indicates that nature optimizes the amino acid sequences to create the most stable protein, which correlates well to the search for the lowest energy solutions. With researchers at Harvard, we designed a system for predicting the folding patterns for lattice protein folding models and successfully ran small protein folding problems in hardware.
