Research at the USC Lockheed Martin Quantum Computing Center focuses on the theoretical and practical aspects of adiabatic quantum optimization, a powerful new paradigm for solving some of the toughest optimization problems while harnessing the power of quantum mechanics.
Of particular interest are problems that can be mapped into quadratic unconstrained binary optimization (QUBO), or finding the ground (lowest energy state) of the two-dimensional Ising spin model. Such problems include machine learning, image classification, software verification, anomaly detection, and neural networks. Of additional great interest is the development of error correction strategies tailored to adiabatic quantum optimization.
The Center is uniquely equipped to address these questions using the D-Wave One Rainier chip, a programmable, 128 qubit, special purpose quantum adiabatic optimizer.