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Strain engineering has played a key role in modern silicon electronics, having been introduced as a mobility booster in the 1990s and commercialized in the early 2000s. Achieving similar advances with two-dimensional (2D) semiconductors in…

Radio frequency cryogenic switches are a critical enabling technology for quantum information science for both calibration and high throughput testing of samples. Traditionally, solenoid-based switches have been used [1,2], but a transition…

Quantum Physics · Physics 2025-01-08 Lafe Spietz , Adam Sirois , Nathan Flowers-Jacobs , Steve Waltman , Samuel Benz , Peter Hopkins

A scaled-up quantum computer will require a highly efficient control interface that autonomously manipulates and reads out large numbers of qubits, which for solid-state implementations are usually held at millikelvin (mK) temperatures.…

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of…

The advanced nanoscale integration available in silicon complementary metal-oxide-semiconductor (CMOS) technology provides a key motivation for its use in spin-based quantum computing applications. Initial demonstrations of quantum dot…

We demonstrate a platform for phase and amplitude modulation in silicon nitride photonic integrated circuits via piezo-optomechanical coupling using tightly mechanically coupled aluminum nitride actuators. The platform, fabricated in a CMOS…

Applied Physics · Physics 2019-10-23 P. R. Stanfield , A. J. Leenheer , C. P. Michael , R. Sims , M. Eichenfield

Memristive circuit elements constitute a cornerstone for novel electronic applications, such as neuromorphic computing, called to revolutionize information technologies. By definition, memristors are sensitive to the history of electrical…

Cryogenic CMOS technology (cryo-CMOS) offers a scalable solution for quantum device interface fabrication. Several previous works have studied the characterization of CMOS technology at cryogenic temperatures for various process nodes.…

Applied Physics · Physics 2019-02-20 Chao Luo , Zhen Li , TengTeng Lu , Jun Xu , GuoPing Guo

Combined diverse two-dimensional (2D) materials for semiconductor interfaces are attractive for electrically controllable carrier confinement to enable excellent electrostatic control. We investigated the transport characteristic in…

Mesoscale and Nanoscale Physics · Physics 2021-03-22 Rahul Tripathi , Pritam Bhattacharyya , Sukanta Nandi , Alok Shukla , Abha Misra

Over the recent years, crossroads of magnetism and superconductivity led to the emerging field of superconducting spintronics. A cornerstone of this venture is the generation of equal-spin triplet Cooper pairs in superconductor-ferromagnet…

Superconductivity · Physics 2025-12-22 Pablo Tuero , César González-Ruano , Igor Žutić , Yuan Lu , Coriolan Tiusan , Farkhad G. Aliev

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…

We study a mechanism to induce superconductivity in atomically thin semiconductors where excitons mediate an effective attraction between electrons. Our model includes interaction effects beyond the paradigm of phonon-mediated…

Mesoscale and Nanoscale Physics · Physics 2024-11-28 Jonas von Milczewski , Xin Chen , Atac Imamoglu , Richard Schmidt

Ternary quantum information processing in superconducting devices poses a promising alternative to its more popular binary counterpart through larger, more connected computational spaces and proposed advantages in quantum simulation and…

We present a design-scheme for ultra-low power neuromorphic hardware using emerging spin-devices. We propose device models for 'neuron', based on lateral spin valves and domain wall magnets that can operate at ultra-low terminal voltage of…

Disordered Systems and Neural Networks · Physics 2012-07-19 Mrigank Sharad , Charles Augustine , Georgios Panagopoulos , Kaushik Roy

Energy-efficiency and design-complexity of high-speed on-chip and inter-chip data-interconnects has emerged as the major bottleneck for high-performance computing-systems. As a solution, we propose an ultra-low energy interconnect…

Materials Science · Physics 2013-08-26 Mrigank Sharad , Kaushik Roy

Unlike the electrical conductance that can be widely modulated within the same material even in deep nanoscale devices, tuning the thermal conductance within a single material system or nanostructure is extremely challenging and requires a…

Mesoscale and Nanoscale Physics · Physics 2021-05-12 Georgia T. Papadakis , Christopher J. Ciccarino , Lingling Fan , Meir Orenstein , Prineha Narang , Shanhui Fan

The primary impediment to continued improvement of charge-based electronics is the excessive energy dissipation incurred in switching a bit of information. With suitable choice of materials, devices made of multiferroic composites, i.e.,…

Mesoscale and Nanoscale Physics · Physics 2017-10-03 Kuntal 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…

Interface-type resistive switching (RS) devices with lower operation current and more reliable switching repeatability exhibits great potential in the applications for data storage devices and ultra-low-energy computing. However, the…

The need for increasingly powerful computing hardware has spawned many ideas stipulating, primarily, the replacement of traditional transistors with alternate "switches" that dissipate miniscule amounts of energy when they switch and…