Quantum Annealing for radar optimization
Using quantum annealing to solve a time-dependent high dimensional QUBO problem.
This was an intern project at the Johns Hopkins Applied Physics Lab. On a high level, I initiated and led a proposal on using quantum annealing to dynamically solve a time-dependent QUBO problem. Here, a QUBO problem means Quadratic Unconstrained Binary Optimization problem, which can be written with the following cost function.
\[\begin{equation} f_Q(x) = x^TQ x \end{equation}\]Where $x$ is a vector and $Q$ is a matrix. For high dimensional QUBO problems, classical machines have a hard time efficiently solving them. But a quantum computer, using quantum annealing is proposed to be able to solve QUBO problems a lot faster. Ideally, more information will come out as this project finalizes.