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Josephson junctions containing two ferromagnetic layers are being considered for use in cryogenic memory. Our group recently demonstrated that the ground-state phase difference across such a junction with carefully chosen layer thicknesses…

Superconductivity · Physics 2018-02-07 Bethany M. Niedzielski , T. J. Bertus , Joseph A. Glick , R. Loloee , W. P. Pratt, , Norman O. Birge

Photonic integrated circuits (PICs) at cryogenic temperatures enable a wide range of applications in scalable classical and quantum systems for computing and sensing. A promising application of cryogenic PICs is to provide optical…

If a computer could be assembled from superconducting components, the energy efficiency would far surpass that of conventional electronics. Historic research efforts towards this goal yielded pivotal breakthroughs in the development and…

Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interest due to its various characteristics such as non-volatility, low leakage power, high density. Its magnetic properties have a vital role in STT switching operations…

Hardware Architecture · Computer Science 2022-08-17 Saeed Seyedfaraji , Javad Talafy Daryani , Mohamed M. Sabry Aly , Semeen Rehman

The challenges of operating qubits in a cryogenic environment point to a looming bottleneck for large-scale quantum processors, limited by the number of input-output connections. Classical processors solve this problem via multiplexing;…

Mesoscale and Nanoscale Physics · Physics 2024-10-18 M. A. Wolfe , Thomas McJunkin , Daniel R. Ward , DeAnna Campbell , Mark Friesen , M. A. Eriksson

Hierarchical temporal memory (HTM) tries to mimic the computing in cerebral-neocortex. It identifies spatial and temporal patterns in the input for making inferences. This may require large number of computationally expensive tasks like,…

Emerging Technologies · Computer Science 2016-11-17 Deliang Fan , Mrigank Sharad , Abhronil Sengupta , Kaushik Roy

The most promising quantum algorithms require quantum processors hosting millions of quantum bits when targeting practical applications. A major challenge towards large-scale quantum computation is the interconnect complexity. In current…

Topologically protected spin textures, such as magnetic skyrmions, have the potential for dense data storage as well as energy-efficient computing due to their small size and a low driving current. The evaluation of the writing and reading…

Materials Science · Physics 2023-04-18 Aijaz H. Lone , Xuecui Zou , Debasis Das , Xuanyao Fong , Gianluca Setti , Hossein Fariborzi

As the scaling of conventional CMOS-based technologies slows down, there is growing interest in alternative technologies that can improve performance or energy-efficiency. Superconducting circuits based on Josephson Junction (JJ) is an…

Hardware Architecture · Computer Science 2019-02-15 Swamit S. Tannu , Poulami Das , Michael L. Lewis , Robert Krick , Douglas M. Carmean , Moinuddin K. Qureshi

Solitonic magnetic excitations such as domain walls and, specifically, skyrmionics enable the possibility of compact, high density, ultrafast,all-electronic, low-energy devices, which is the basis for the emerging area of skyrmionics. The…

The growing demand for ultra low power computing and the emergence of quantum technologies have intensified interest in cryogenic electronics, particularly superconducting devices. Despite their promise, current controlled superconducting…

Emerging Technologies · Computer Science 2025-08-14 Md Mazharul Islam , Diego Ferrer , Shamiul Alam , Juan P. Mendez , Denis Mamaluy , Wei Pan , Ahmedullah Aziz

Scaling superconducting quantum computers to the fault-tolerant regime calls for a commensurate scaling of the classical control and readout stack. Today's systems largely rely on room-temperature, rack-based instrumentation connected to…

Quantum Physics · Physics 2026-05-05 Shiro Kawabata

In-memory computing (IMC) is an emerging non-von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. Among the various candidates, phase-change memory (PCM) has…

Mesoscale and Nanoscale Physics · Physics 2025-09-29 Davide G. F. Lombardo , Siddharth Gautam , Alberto Ferraris , Manuel Le Gallo , Abu Sebastian , Ghazi Sarwat Syed

Magnetic skyrmions are promising candidates for logic-in-memory applications, intrinsically merging high density non-volatile data storage with computing capabilities, owing to their nanoscale size, fast motion, and mutual repulsions.…

Mesoscale and Nanoscale Physics · Physics 2022-09-07 Naveen Sisodia , Johan Pelloux-Prayer , Liliana D. Buda-Prejbeanu , Lorena Anghel , Gilles Gaudin , Olivier Boulle

The development of superconducting electronics based on nanocryotrons has been limited so far to few-device circuits, in part due to the lack of standard and robust logic cells. Here, we introduce and experimentally demonstrate designs for…

Current quantum systems based on spin qubits are controlled by classical electronics located outside the cryostat at room temperature. This approach creates a major wiring bottleneck, which is one of the main roadblocks toward truly…

Two promising strategies for achieving efficient control of magnetization in future magnetic memory and non-volatile spin logic devices are spin transfer torque from spin polarized currents and voltage-controlled magnetic anisotropy (VCMA).…

Materials Science · Physics 2012-09-06 Luqiao Liu , Chi-Feng Pai , D. C. Ralph , R. A. Buhrman

We investigate fast-pulse switching of in-plane-magnetized magnetic tunnel junctions (MTJs) within 3-terminal devices in which spin-transfer torque is applied to the MTJ by the giant spin Hall effect. We measure reliable switching, with…

Mesoscale and Nanoscale Physics · Physics 2016-06-22 Sriharsha V. Aradhya , Graham E. Rowlands , Junseok Oh , Daniel C. Ralph , Robert A. Buhrman

Magnetic skyrmions (MS) are particle-like spin structures with whirling configuration, which are promising candidates for spin-based memory. MS contains alluring features including remarkably high stability, ultra low driving current…

Applied Physics · Physics 2017-05-04 Mei-Chin Chen , Kaushik Roy

Due to the massive parallel computing capability and outstanding image and signal processing performance, cellular neural network (CNN) is one promising type of non-Boolean computing system that can outperform the traditional digital logic…

Emerging Technologies · Computer Science 2016-09-21 Chenyun Pan , Azad Naeemi