A central challenge in analog quantum simulation is to characterize desirable physical properties of states produced experiments. However, conventional approaches, the extraction arbitrary information requires performing measurements many different bases, which necessitates a high level control that present-day devices may not have. Here, we propose and analyze scalable protocol leverages ergod...

The simulation of nonlinear components is central to virtual analog simulation. In audio effects, circuit elements often include devices such as diodes and transistors, mostly operating in the strongly regime. Mathematical models are form systems ordinary differential equations (ODEs), traditional integrators, trapezoid midpoint methods, can be employed solvers. These methods fully implicit, re...

Abstract The operational amplifier is an extremely efficient and versatile device. Its applications span the broad electronic industry filling requirements for signal conditioning, special transfer functions, analog instrumentation, analog computation, and special systems design. The analog assets of simplicity and precision characterize circuits utilizing operational amplifiers. In this paper ...

We re-elaborate on the recent basic result that the action of any multilayer is equivalent to a proper Lorentz transformation. As a consequence, we propose simple optical measurements that can serve as an analogue computer for simulating special relativity. Special attention is paid to the question of the Wigner rotation, showing that it can be easily observed in multilayers.

By applying tensile local uniaxial strain on 5 nm of drain region and compressive local uniaxial strain on 2.5 nm of source and 2.5 nm of channel regions of graphene nanoribbon tunneling field-effect transistor (GNR-TFET), we propose a new bandgap-engineered (BE) GNR-TFET. Simulation of the suggested device is done based on non-equilibrium Green’s function (NEGF) method by a mode-space approach...

A simulation framework for articial neural network models and electronic implementations (CMOS) is presented. Neural network models spanning from arti-cial biological models through mathematical or computational models such as back-propagation type networks to digital, analog or subthreshold analog implementations can be simulated concurrently. Neural and electronic variables (nodes) interact t...