Biological sequence optimization has been recast as using Hamiltonian whose solution can then be found using a Quantum Annealer Algorithm . Other notable approaches in protein design include algorithms based on Grover's algorithm , Quantum Markov Chain Monte Carlo , Quantum Phase Estimation , and simulations of Quantum Dynamics . Moreover, Grover's algorithm has recently been suggested to find the best subset of antibodyderived tags . Finally, quantum machine learning has been explored in such tasks as protein and peptide classification or drug design . It is important to emphasize here that classical computers could have also been used to conduct these studies and, therefore, none of the cases represents a quantum advantage.