Researchers are exploring the use of hybrid quantum-classical clustering and other quantum computing techniques for various applications. These methods are being investigated for tasks such as quantum state preparation, learning, and eigensolver simulations. The approaches may have potential uses in fields like chemistry and drug discovery, including the identification of potential inhibitors.