2026
article
OpenAlex
Ju-Young Yoon, Nuno Caçoilo, Advait Madhavan, Jabez J. McClelland et autres
Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key building block in these systems is the probabilistic bit (p-bit), which relies on superparamagnetic tunnel junctions (sMTJs) as its source of randomness. …
jp, us
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Accès ouvert
2026
article
OpenAlex
Sebastian Wood, Evgheni Strelcov, Junyeob Song, Albert Davydov et autres
Hydrogen-terminated diamond is a promising platform for diamond-based high-power-frequency electronics and radiation-hardened semiconductor devices exhibiting controllable electrical conduction through an accumulated sub-surface 2D hole-gas layer. The diamond conductivity is highly sensitive to local surface conditions, offering new opportunities for device engineering, quantum …
gb, us
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Ju-Young Yoon, Nuno Caçoilo, Advait Madhavan, Jabez J. McClelland et autres
Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key building block in these systems is the probabilistic bit (p-bit), which relies on superparamagnetic tunnel junctions (sMTJs) as its source of randomness. …
Accès ouvert
2026
preprint
OpenAlex
Ju-Young Yoon, Nuno Caçoilo, Advait Madhavan, Jabez J. McClelland et autres
Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key building block in these systems is the probabilistic bit (p-bit), which relies on superparamagnetic tunnel junctions (sMTJs) as its source of randomness. …
jp, us
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Sebastian Wood, Evgheni Strelcov, Junyeob Song, Albert V. Davydov et autres
gb, in
(code pays fourni par la source)
2025
conference-abstract
OpenAlex
Temitayo N. Adeyeye, Sidra Gibeault, Daniel Perry Lathrop, Matthew W. Daniels et autres
This work explores time domain statistics of superparamagnetic tunnel junctions (SMTJs). We leverage a temporal encoding scheme to experimentally sample exponential distributions from the dwell time statistics of these devices. We develop SMTJ-based circuits called probabilistic delay cells to produce stochastic time-delayed …
us, fr
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Imtiaz Hossen, William A. Borders, Advait Madhavan, Shweta Joshi et autres
Abstract No two fabricated Resistive Random Access Memory (ReRAM) devices are alike. Each device can have its own individual optimal set of operating parameters that gives the best performance. However, in an array each device needs to be measured in similar operating …
us
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2025
article
OpenAlex
Brandon R. Zink, William A. Borders, Advait Madhavan, Brian D. Hoskins et autres
Abstract Resistive random-access memory (RRAM) is a promising beyond-CMOS technology due to its non-volatility, scalability, and high ON/OFF ratio. Furthermore, a single RRAM cell can operate as an analog resistor, meaning that it can be used in more novel computing applications such …
us
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Accès ouvert
2025
article
OpenAlex
Temitayo N. Adeyeye, Sidra Gibeault, Daniel Perry Lathrop, Matthew W. Daniels et autres
In the superparamagnetic regime, magnetic tunnel junctions switch between two resistance states due to random thermal fluctuations. The dwell-time distribution in each state is exponential. We sample this distribution using a temporal encoding scheme, in which information is encoded in the time …
us, fr
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Jabez J. McClelland, Evgheni Strelcov, Ami Chand
We present measurements comparing scanning thermal microscopy in air and vacuum. Signal levels are compared and resolution is probed by scanning over the edge of a nanofabricated Ag square embedded in [Formula: see text]. Signals measured in air were seen to be …
us
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Accès ouvert
2025
article
OpenAlex
Osama Yousuf, Brian D. Hoskins, K Ramu, Mitchell Fream et autres
Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. In-memory computing architectures using memristor devices offer promise but face challenges due to hardware non-idealities. This work proposes layer ensemble averaging—a hardware-oriented fault …
us
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Temitayo N. Adeyeye, Sidra Gibeault, Daniel Perry Lathrop, Matthew W. Daniels et autres
In the superparamagnetic regime, magnetic tunnel junctions switch between two resistance states due to random thermal fluctuations. The dwell time distribution in each state is exponential. We sample this distribution using a temporal encoding scheme, in which information is encoded in the …