Quantum Topology Optimization via Quantum Annealing

We present a quantum annealing-based solution method for topology optimization (TO). In particular, we consider TO in more general setting, i.e., applied to structures of continuum domains where designs are represented as distributed functions, referred problems. According the problem's properties and structure, formulate appropriate sub-problems that can be solved on an computer. The methodology established effectively tackle problems formulated mixed-integer nonlinear programs. To maintain resulting small enough computers currently accessible with numbers qubits limited connectivity, further develop splitting approach splits problem into two parts: first part efficiently classical computers, second reduced number variables is By such, practical varying scales handled D-Wave annealer. More specifically, concern minimum compliance, canonical seeks optimal distribution materials minimize compliance desired material usage. superior performance developed assessed compared stateof-the-art heuristic methods, terms both quality computational efficiency. work hence provides promising new avenue applying computing various applications.