Abstrac The performance of today’s quantum computers are affected by noise. This effect can be analyzed in the result of simple quantum algorithms in real quantum computers. The noise can be characterized as a decoherence error or a systematic error, the last could be corrected by a unitary rotation. In this article we propose two methods to model a systematic error, in the Quantum Fourier Transform algorithm (QFT). The first method uses the isotropic index presented in [1] and needs to reconstruct the density matrix of the experimental state, while the second method, although less general, only needs to reconstruct the reduced density matrices for each qubit. In both methods, a unitary transformation is proposed, which approximates the experimental result to the expected theoretical state. As an example, the QFT algorithm is analyzed for two qubit states, in quantum IBM Q computer ibmq_santiago.

Abstract The performance of quantum computers today can be studied by analyzing the effect of errors in the result of simple quantum algorithms. The modeling and characterization of these errors is relevant to correct them, for example, with quantum correcting codes. In this article, we characterize the error of the five qubits quantum computer ibmqx4 (IBM Q), using a Deutsch algorithm and modeling the error by Generalized Amplitude Damping (GAD) and a unitary misalignment operation.

Abstract This article presents a low cost multipurpose device based in Arduino technology and Xcos-Scilab graphical environement, designed for heat propagation experiences. In addition to the pedagogical advantage of the implementation carried out by engineering degree students, the use of the equipment has enabled, through experimental results, the determination of the convection coefficient and the analysis, and adjustment, of the effect of the sensors used in the measurement.

Resumen Este artículo presenta un dispositivo flexible y de bajo costo equipo diseñado para la realización de experiencias en el área de propagación de calor, el cual está basado en tecnología Arduino y el ambiente gráfico Xcos de Scilab. Además de la ventaja pedagógica de la implementación realizada por estudiantes de grado de ingeniería, la utilización del equipo ha posibilitado, mediante resultados experimentales, la determinación del coeficiente de convección y el análisis, y ajuste, del efecto de los sensores utilizados en la medida.