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Crossbar arrays of resistive memories (RRAM) hold the promise of enabling In-Memory Computing (IMC), but essential challenges due to the impact of device imperfection and device endurance have yet to be overcome. In this work, we…

Emerging Technologies · Computer Science 2022-03-04 E. Esmanhotto , T. Hirtzlin , N. Castellani , S. Martin , B. Giraud , F. Andrieu , J. F. Nodin , D. Querlioz , J-M. Portal , E. Vianello

Topological quantum computing promises intrinsic fault tolerance by encoding quantum information in non-Abelian anyons, where quantum gates are implemented via braiding. While braiding operations are robust against local perturbations, a…

Quantum Physics · Physics 2025-08-15 Themba Hodge , Philipp Frey , Stephan Rachel

Reconfiguration has been used for both defect- and fault-tolerant nanoscale architectures with regular structure. Recent advances in self-assembled nanowires have opened doors to a new class of electronic devices with irregular structure.…

Emerging Technologies · Computer Science 2014-06-16 Alireza Goudarzi , Matthew R. Lakin , Darko Stefanovic , Christof Teuscher

In the recent era, Reversible computing is a growing field having applications in nanotechnology, optical information processing, quantum networks etc. In this paper, the authors show the design of a cost effective reversible programmable…

Other Computer Science · Computer Science 2012-04-26 Pradeep Singla , Naveen Kr. Malik

A logical qubit is a two-dimensional subspace of a higher dimensional system, chosen such that it is possible to detect and correct the occurrence of certain errors. Manipulation of the encoded information generally requires arbitrary and…

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

Binary stochastic neurons (BSNs) are excellent activators for machine learning. An ideal platform for implementing them are low- or zero-energy-barrier nanomagnets (LBMs) possessing in-plane anisotropy (e.g. circular or slightly elliptical…

Mesoscale and Nanoscale Physics · Physics 2023-02-28 Rahnuma Rahman , Supriyo Bandyopadhyay

The increasing capacity of modern computers, driven by Moore's Law, is accompanied by smaller noise margins and higher error rates. In this paper we propose a memory device, consisting of a ring of two identical overdamped bistable…

Adaptation and Self-Organizing Systems · Physics 2009-11-05 S. A. Ibáñez , P. I. Fierens , G. A. Patterson , R. P. J. Perazzo , D. F. Grosz

The end of Moore's law for CMOS technology has prompted the search for low-power computing alternatives, resulting in several promising proposals based on magnetic logic[1-8]. One approach aims at tailoring arrays of nanomagnetic islands in…

Mesoscale and Nanoscale Physics · Physics 2021-09-08 Pieter Gypens , Jonathan Leliaert , Massimiliano Di Ventra , Bartel Van Waeyenberge , Daniele Pinna

Nonlinear behavior in the hopping transport of interacting charges enables reconfigurable logic in disordered dopant network devices, where voltages applied at control electrodes tune the relation between voltages applied at input…

Emerging Technologies · Computer Science 2023-12-27 Henri Tertilt , Jonas Mensing , Marlon Becker , Wilfred G. van der Wiel , Peter A. Bobbert , Andreas Heuer

In this paper, several nanodevices which realize basic single heavy hole qubit operations are proposed and supported by time dependent self consistent Poisson-Schr\"{o}dinger calculations using a four band heavy hole-light hole model. In…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 P. Szumniak , S. Bednarek , J. Pawłowski , B. Partoens

Digital computing currently uses irreversible logic gates whose energy dissipation is fundamentally limited. Reversible logic gates can provide an energy-efficient alternative since they can operate with reversible processes that have no…

Superconductivity · Physics 2020-02-05 Waltraut Wustmann , Kevin D. Osborn

Recently, the demand of low-power deep-learning hardware for industrial applications has been increasing. Most existing artificial intelligence (AI) chips have evolved to rely on new chip technologies rather than on radically new hardware…

Machine Learning · Computer Science 2020-02-14 Byungik Ahn

We study the problem of multiplying two bit matrices with entries either over the Boolean algebra $(0,1,\vee,\wedge)$ or over the binary field $(0,1,+,\cdot)$. We engineer high-performance open-source algorithm implementations for…

Data Structures and Algorithms · Computer Science 2019-09-05 Matti Karppa , Petteri Kaski

The configurable building blocks of current FPGAs -- Logic blocks (LBs), Digital Signal Processing (DSP) slices, and Block RAMs (BRAMs) -- make them efficient hardware accelerators for the rapid-changing world of Deep Learning (DL).…

Hardware Architecture · Computer Science 2021-10-01 Aman Arora , Bagus Hanindhito , Lizy K. John

The operation of a digital logic inverter consisting of one p- and one n-type graphene transistor integrated on the same sheet of monolayer graphene is demonstrated. The type of one of the transistors was inverted by moving its Dirac point…

Mesoscale and Nanoscale Physics · Physics 2009-06-18 Floriano Traversi , Valeria Russo , Roman Sordan

Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in DMSO…

Reversible logic allows low power dissipating circuit design and founds its application in cryptography, digital signal processing, quantum and optical information processing. This paper presents a novel quantum cost efficient reversible…

Hardware Architecture · Computer Science 2012-05-04 Md. Saiful Islam , Mohd. Zulfiquar Hafiz , Zerina Begum

This paper experimentally demonstrates a near-crossbar memory logic technique called Pinatubo. Pinatubo, an acronym for Processing In Non-volatile memory ArchiTecture for bUlk Bitwise Operations, facilitates the concurrent activation of two…

Hardware Architecture · Computer Science 2024-08-15 Noa Aflalo , Eilam Yalon , Shahar Kvatinsky

We propose a novel approach for precision measurement utilizing an ensemble of probabilistic bits (p-bits). This method leverages the inherent fluctuations of p-bits to achieve high sensitivity in various applications, including magnetic…

Applied Physics · Physics 2025-08-08 Yunwen Liu , Jiang Xiao
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