Objective function estimation for solving optimization problems in gate-model quantum computers

Abstract

Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost procedure that requires several rounds of quantum computations and measurements. Here, we define a method for objective function estimation of arbitrary computational problems in gate-model quantum computers. The proposed solution significantly reduces the costs of the objective function estimation and provides an optimized estimate of the state of the quantum computer for solving optimization problems.

Decoherence dynamics estimation for superconducting gate-model quantum computers

“…The information processing network of a gate-model quantum computer uses traditionally uninterpretable phenomena such as quantum superposition or quantum entanglement [26][27][28][29][30][31][32][33][34][35][36]. The quantum computations are performed on some initial quantum states via a sequence of unitary operators [30,[37][38][39][40][41][42][43][44][45][46][47][48][49]. The unitary operators can formulate a larger unit called unitary block.…”