Current research within the department focuses on the fundamental aspects and applications and implementations of quantum computation, scalability, error mitigation and correction and topological protection of quantum states on current and future quantum computing devices. Collaborative efforts also include investigating quantum entanglement, decoherence, and noise in quantum networks, advancing existing quantum algorithms, including quantum machine learning, for the application of materials science discovery, quantum game theory, computational quantum chemistry, and spin models representing quantum magnetic systems, as well as spin-boson models representing two-level systems coupled to anharmonic oscillators. Several of these efforts are under-pinned by a recently installed 127-qubit IBM Quantum System One quantum computer on our campus, around which we are building extensive additional expertise in quantum algorithm and application development.