7 citations · 14 across the 12 of their papers we have counts for
13 papers
Admissibility of Solitary Wave Modes in Long-Runout Debris Flows
Louis-S. Bouchard, Seulgi Moon
Debris flows often exhibit coherent wave structures-shock-like roll waves on steeper slopes and weaker, more sinusoidal dispersive pulses on gentler slopes. Coarse-rich heads raise…
Exchange-Coupled Spins for Robust High-Temperature Qubits
Aniruddha Chakraborty, Md. Fahim F. Chowdhury, Mohamad Niknam +2
We show that Heisenberg exchange interactions between the neighboring spins comprising an ensemble spin qubit (E-qubit) can act as an intrinsic error mitigator, increasing gate fid…
Microstructural Geometry Revealed by NMR Lineshape Analysis
Mohamad Niknam, Louis-S. Bouchard
We introduce a technique for extracting microstructural geometry from NMR lineshape analysis in porous materials at angstrom-scale resolution with the use of weak magnetic field gr…
Enantiospecificity in NMR Enabled by Chirality-Induced Spin Selectivity
T. Georgiou, J. L. Palma, V. Mujica +7
Spin polarization in chiral molecules is a magnetic molecular response associated with electron transport and enantioselective bond polarization that occurs even in the absence of…
Proximal quantum control of spin and spin ensemble with highly localized control field from skyrmions
Md Fahim F Chowdhury, Mohamad Niknam, Md Mahadi Rajib +2
Selective control of individual spin qubits is needed for scalable quantum computing based on spin states. Achieving high-fidelity in both single and two-qubit gates, essential com…
Nuclear Induction Lineshape: Non-Markovian Diffusion with Boundaries
Moe Niknam, Louis-S. Bouchard
The dynamics of viscoelastic fluids are governed by a memory function, essential yet challenging to compute, especially when diffusion faces boundary restrictions. We propose a com…
Information geometric bound on general chemical reaction networks
Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard +1
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates. This task is challenging due to the nonlinear nat…
Embed-Search-Align: DNA Sequence Alignment using Transformer Models
Pavan Holur, K. C. Enevoldsen, Shreyas Rajesh +5
DNA sequence alignment involves assigning short DNA reads to the most probable locations on an extensive reference genome. This process is crucial for various genomic analyses, inc…
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Yiyou Chen, Hideyuki Miyahara, Louis-S. Bouchard +1
Efficient measures to determine similarity of quantum states, such as the fidelity metric, have been widely studied. In this paper, we address the problem of defining a similarity…
Decoherence Mitigation by Embedding a Logical Qubit in a Qudit
Hideyuki Miyahara, Yiyou Chen, Vwani Roychowdhury +1
Quantum information stored in a qubit is rapidly lost to the environment. The realization of robust qubits is one of the most important challenges in quantum computing. Herein we p…
Landslide Susceptibility Modeling by Interpretable Neural Network
Khaled Youssef, Kevin Shao, Seulgi Moon +1
Landslides are notoriously difficult to predict because numerous spatially and temporally varying factors contribute to slope stability. Artificial neural networks (ANN) have been…
Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST
Khalid Youssef, Greg Schuette, Yubin Cai +4
Unlike areas such as computer vision and speech recognition where convolutional and recurrent neural networks-based approaches have proven effective to the nature of the respective…
Machine Learning Approach to RF Transmitter Identification
K. Youssef, Louis-S. Bouchard, K. Z. Haigh +3
With the development and widespread use of wireless devices in recent years (mobile phones, Internet of Things, Wi-Fi), the electromagnetic spectrum has become extremely crowded. I…