Identification of Time-Varying Decoherence Rates for Open Quantum Systems

Abstract

Parameter identification of quantum systems is a fundamental task in developing practical quantum technology. In this paper, we study the identification of time-varying decoherence rates for open quantum systems. Given the measurement data of local observables, this can be formulated as an optimization problem. We expand the unknown decoherence rates into Fourier series and take the expansion coefficients as optimization variables. We then convert it into a minimax problem and apply sequential linear programming technique to solve it. Numerical study on a two-qubit quantum system with a time-varying decoherence rate demonstrates the effectiveness of our algorithm.

On the regularization and optimization in quantum detector tomography

“…Quantum detector tomography (QDT), as the standard technique to characterize an unknown measurement process, is fundamental for device benchmarking and subsequent tasks such as quantum state tomography (QST) [7], [8], [9], quantum Hamiltonian identification [10], [11], [12], [13], [14], [15], quantum process tomography [16], [17], [18] and quantum control [19].…”