216 citations · 384 across the 13 of their papers we have counts for
13 papers
20 Second Parity Lifetime in an InAs--Pb Tetron Device
Morteza Aghaee, Zulfi Alam, Mariusz Andrzejczuk +162
A central promise of topological quantum computing is that increasing the excitation gap improves device performance significantly. Here, we experimentally validate this principle…
Distinct Lifetimes for and Loop Measurements in a Majorana Tetron Device
Morteza Aghaee, Zulfi Alam, Rikke Andersen +164
We present a hardware realization and measurements of a tetron qubit device in a superconductor-semiconductor heterostructure. The device architecture contains two parallel superco…
Response to recent comments on Phys. Rev. B 107, 245423 (2023) and Subsection S4.3 of the Supp. Info. for Nature 638, 651-655 (2025)
Morteza Aghaee, Zulfi Alam, Mariusz Andrzejczuk +127
The topological gap protocol (TGP) is a statistical test designed to identify a topological phase with high confidence and without human bias. It is used to determine a promising p…
Roadmap to fault tolerant quantum computation using topological qubit arrays
David Aasen, Morteza Aghaee, Zulfi Alam +179
We describe a concrete device roadmap towards a fault-tolerant quantum computing architecture based on noise-resilient, topologically protected Majorana-based qubits. Our roadmap e…
Interferometric Single-Shot Parity Measurement in an InAs-Al Hybrid Device
Morteza Aghaee, Alejandro Alcaraz Ramirez, Zulfi Alam +159
The fusion of non-Abelian anyons or topological defects is a fundamental operation in measurement-only topological quantum computation. In topological superconductors, this operati…
InAs-Al Hybrid Devices Passing the Topological Gap Protocol
Morteza Aghaee, Arun Akkala, Zulfi Alam +124
We present measurements and simulations of semiconductor-superconductor heterostructure devices that are consistent with the observation of topological superconductivity and Majora…
A superconducting nanowire spiking element for neural networks
Emily Toomey, Ken Segall, Matteo Castellani +3
As the limits of traditional von Neumann computing come into view, the brain's ability to communicate vast quantities of information using low-power spikes has become an increasing…
Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training
Murat Onen, Brenden A. Butters, Emily Toomey +2
Training of deep neural networks (DNNs) is a computationally intensive task and requires massive volumes of data transfer. Performing these operations with the conventional von Neu…
Cryogenic Memory Architecture Integrating Spin Hall Effect based Magnetic Memory and Superconductive Cryotron Devices
Minh-Hai Nguyen, Guilhem J. Ribeill, Martin Gustafsson +19
One of the most challenging obstacles to realizing exascale computing is minimizing the energy consumption of L2 cache, main memory, and interconnects to that memory. For promising…
A Power Efficient Artificial Neuron Using Superconducting Nanowires
Emily Toomey, Ken Segall, Karl K. Berggren
With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the h…
Bridging the gap between nanowires and Josephson junctions: a superconducting device based on controlled fluxon transfer across nanowires
Emily Toomey, Murat Onen, Marco Colangelo +3
The basis for superconducting electronics can broadly be divided between two technologies: the Josephson junction and the superconducting nanowire. While the Josephson junction (JJ…
A compact superconducting nanowire memory element operated by nanowire cryotrons
Qing-Yuan Zhao, Emily A. Toomey, Brenden A. Butters +4
A superconducting loop stores persistent current without any ohmic loss, making it an ideal platform for energy efficient memories. Conventional superconducting memories use an arc…
Frequency pulling and mixing of relaxation oscillations in superconducting nanowires
Emily Toomey, Qing-Yuan Zhao, Adam N. McCaughan +1
Many superconducting technologies such as rapid single flux quantum computing (RSFQ) and superconducting quantum interference devices (SQUIDs) rely on the modulation of nonlinear d…