Recent demonstrations using electron spins stored in quantum dots array as qubits are promising for developing a scalable computing platform. An ongoing effort is therefore aiming at the precise control of parameters larger and arrays which represents complex challenge. Partitioning system with help inter-dot tunnel barriers can lead to simplification tuning offers protection against unwanted c...

– The DC current-voltage characteristics induced by a driving electric field with frequency Ω of a one-dimensional electron channel with a tunnel barrier is calculated. Electronelectron interaction of finite range is taken into account. For intermediate interaction strengths, the non-linear differential conductance shows cusp-like minima at bias voltages mh̄Ω/e (m integer) that are a consequence...

We study the spin-dependent transport properties of a spin valve based on double quantum dot. Each dot is assumed to be strongly coupled its own ferromagnetic lead, while coupling between dots relatively weak. The current flowing through system determined within perturbation theory in hopping dots, whereas spectrum dot-ferromagnetic lead subsystem by means numerical renormalization group method...

Quantum states in graphene are four-fold degenerate: two fold spins, and valleys.Both degrees of freedom can be utilized for qubit preparations. In our bilayer quantumdots, we demonstrate that the valley g-factorgv, defined analogously as spin g-factorgsforvalley splitting perpendicular magnetic field, is tunable by over a factor 4 from 20 to 90. Wefind largergvresults larger electronic dot siz...

the study of interactions of jet into cross flow at different longitudinal and transverse angles ofjet was studied. the following components were designed and constructed: a low velocity windtunnel to produce the uniform flow, a flat plate with a traverse injection system to simulate the jetinjection, and a spatial rake to measure the total pressure. the tests were carried out atlongitudinal (α...

Recent progress has shown that the dramatically increased number of parameters become a major issue in tuning multi-quantum dot devices. The complicated interactions between quantum dots and gate electrodes cause manual process to no longer be efficient. Fortunately, machine learning techniques can automate speed up simple systems. In this letter, we extend tune multi-dot We propose an automate...