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If a set $\mathbb{G}$ of quantum gates is countable, then the operators that can be exactly represented by a circuit over $\mathbb{G}$ form a strict subset of the collection of all unitary operators. When $\mathbb{G}$ is universal, one…

Quantum Physics · Physics 2023-05-16 M. Amy , M. Crawford , A. N. Glaudell , M. L. Macasieb , S. S. Mendelson , N. J. Ross

The emergence of resistive non-volatile memories opens the way to highly energy-efficient computation near- or in-memory. However, this type of computation is not compatible with conventional ECC, and has to deal with device unreliability.…

Emerging Technologies · Computer Science 2020-07-14 Marc Bocquet , Tifenn Hirtzlin , Jacques-Olivier Klein , Etienne Nowak , Elisa Vianello , Jean-Michel Portal , Damien Querlioz

It has recently been proven that certain effective wavefunctions in fractional quantum mechanics and condensed matter do not have a locally conserved current; as a consequence, their coupling to the electromagnetic field leads to extended…

General Physics · Physics 2019-01-11 G. Modanese

This paper develops a general approach to nonlinear circuit modelling aimed at preserving the intrinsic symmetry of electrical circuits when formulating reduced models. The goal is to provide a framework accommodating such reductions in a…

Systems and Control · Electrical Eng. & Systems 2020-06-02 Ricardo Riaza

The so-called negative electron compressibility refers to the lowering of the chemical potential of a metallic system when the carrier density increases. This effect has often been invoked in the past to explain the enhancement of the…

Mesoscale and Nanoscale Physics · Physics 2019-06-19 Javier Junquera , Pablo García-Fernández , Massimiliano Stengel

We consider an unconventional superconductor in a low frequency harmonic magnetic field. In the Meissner regime at low T a nonlinear magnetic response arises from quasiparticle excitations near minima in the energy gap. Various physical…

Superconductivity · Physics 2009-10-31 Igor Zutic , Oriol T. Valls

Many proposed applications of neural networks in machine learning, cognitive/brain science, and society hinge on the feasibility of inner interpretability via circuit discovery. This calls for empirical and theoretical explorations of…

Artificial Intelligence · Computer Science 2025-04-02 Federico Adolfi , Martina G. Vilas , Todd Wareham

We consider a nonstationary array of conductors, connected by resistances that fluctuate with time. The charge transfer between a particular pair of conductors is supposed to be dominated by "electrical breakdowns" -- the moments when the…

Mesoscale and Nanoscale Physics · Physics 2017-03-30 A. S. Ioselevich , V. V. Sivak

A simple analytical model based on the transmission-matrix approach is proposed for equivalent wire-medium (WM) interfaces. The obtained ABCD matrices for equivalent interfaces capture the non-local effects due to the evanescent transverse…

It is shown that in bilayer conducting structures in crossed electric and magnetic fields of a special configuration (the fields should have opposite signs in the adjacent layers) the dependence of the energy of a pair of equally charged…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 S. I. Shevchenko , E. D. Vol

The problem of estimating an unknown force driving a linear oscillator is revisited. When using linear measurement, feedback is often cited as a mechanism to enhance bandwidth or sensitivity. We show that as long as the oscillator dynamics…

In applications, quantities of interest are often modelled in equilibrium or an equilibrium solution is sought. The presence of confounding makes causal inference in this setting challenging. We provide interpretable graphical models for…

Methodology · Statistics 2026-03-27 Kai Z. Teh , Kayvan Sadeghi , Terry Soo

The generalized self-consistent field method is used to describe intraband relaxation processes in a general multiband electronic system with presumably weak residual electron-electron interactions. The resulting memory-function…

Mesoscale and Nanoscale Physics · Physics 2017-01-30 I. Kupcic

The last decades have seen a burst of experimental platforms reaching the so-called strong-coupling regime, where quantum coherent effects dominate over incoherent processes such as dissipation and thermalization. This has allowed us to…

Quantum Physics · Physics 2022-04-11 Xiangjin Kong , Carlos Navarrete-Benlloch , Yue Chang

A unified theory for the cuprates and the iron-based superconductors is derived on the basis of common features in their electronic structures including quasi-two-dimensionality, and the large-U nature of the electron orbitals close to E_F…

Superconductivity · Physics 2010-08-09 J. Ashkenazi

We discuss the origin of Warburg's impedance in electrolytic cells containing only one group of positive and one group of negative ions. Our analysis is based on the Poisson-Nernst-Planck model, where the generation-recombination phenomenon…

Chemical Physics · Physics 2018-02-14 Giovanni Barbero

The concepts of wake fields and impedance are introduced to describe the electromagnetic interaction of a bunch of charged particles with its environment in an particle accelerator. The wake fields can act back on the beam and lead to…

Accelerator Physics · Physics 2020-06-12 R. Wanzenberg

We present a paradigm for constructing approximate quantum circuits from reversible classical circuits that operate on many possible encodings of an input and send almost all encodings of that input to an encoding of the correct output. We…

Quantum Physics · Physics 2019-05-22 Craig Gidney

An anomaly in electrical circuit theory is the disappearance of some of the energy when two capacitors, one charged and the other uncharged, are connected together through resistanceless wires. Nonstandard analysis shows that, when the…

General Mathematics · Mathematics 2007-05-23 A. H. Zemanian

Understanding internal representations of neural models is a core interest of mechanistic interpretability. Due to its large dimensionality, the representation space can encode various aspects about inputs. To what extent are different…

Machine Learning · Computer Science 2026-05-15 Xinting Huang , Michael Hahn
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