Articles

Quantum Computation and Quantum Information

Hybrid continuous-discrete-variable quantum computing: a guide to utility

#1 Hybrid continuous-discrete-variable quantum computing: a guide to utility

with Lex Kemper et al.

Submitted

[arXiv]
Adaptive Quantum Generative Training using an Unbounded Loss Function

#2 Adaptive Quantum Generative Training using an Unbounded Loss Function

with Kyle Sherbert et al.

IEEE International Conference on Quantum Computing and Engineering (QCE24) - IEEE Best Paper Award

[Paper] [arXiv] [Repo]
Application-level Benchmarking of Quantum Computers using Nonlocal Game Strategies

#3 Application-level Benchmarking of Quantum Computers using Nonlocal Game Strategies

with Jim Furches, Sarah Chehade, Kathleen E Hamilton, Nathan Wiebe

Expanded Version of "Variational Methods for Computing NonLocal Quantum Strategies", Quantum Science and Technology

[Paper] [arXiv] [Repo] [Poster (by Jim Furches)]
A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

#4 A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

with Michael Ragone et al.

Nature Communications

[Paper] [arXiv] [Press Release]
Generating Approximate Ground States of Molecules Using Quantum Machine Learning

#5 Generating Approximate Ground States of Molecules Using Quantum Machine Learning

with Jack Ceroni et al.

Submitted

[arXiv] [Repo]
Quantum Generative Training using Rényi Divergences

#6 Quantum Generative Training using Rényi Divergences

with Mária Kieferová and Nathan Wiebe

Submitted

[arXiv] [Repo]
Entanglement Induced Barren Plateaus

#7 Entanglement Induced Barren Plateaus

with Mária Kieferová and Nathan Wiebe

PRX Quantum

[Paper] [arXiv] [Poster]
Classification of Rank 5 Premodular Categories

#8 Classification of Rank 5 Premodular Categories

with Paul Bruilard

Journal of Mathematical Physics

[Paper] [arXiv] [Slides]
Quantum Graph Homomorphisms via Operator Systems

#9 Quantum Graph Homomorphisms via Operator Systems

with Vern Paulsen

Linear Algebra and its Applications

[Paper] [arXiv] [Slides (Barcelona)] [Slides (JMM)]
Lovász Theta Type Norms and Operator Systems

#10 Lovász Theta Type Norms and Operator Systems

with Vern Paulsen

Linear Algebra and its Applications

[Paper] [arXiv] [Slides]

Data Science and Machine Learning

Using Skew to Assess the Quality of GAN-generated Image Features

#1 Using Skew to Assess the Quality of GAN-generated Image Features

with Lorenzo Luzi et al.

Transactions on Machine Learning Research

[Paper] [arXiv]
Seven Open Problems in Applied Combinatorics

#2 Seven Open Problems in Applied Combinatorics

with Sinan G. Aksoy et al.

Journal of Combinatorics

[Paper] [arXiv]
The SVD of Convolutional Weights: A CNN Interpretability Framework

#3 The SVD of Convolutional Weights: A CNN Interpretability Framework

with Brenda Praggastis et al.

Submitted

[arXiv] [Repo]
Evaluating generative networks using Gaussian mixtures of image features

#4 Evaluating generative networks using Gaussian mixtures of image features

with Lorenzo Luzi et al.

WACV 2023

[Paper] [arXiv] [Poster]
Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants

#5 Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants

with Javier Rubio-Herrero and Louis Fan

Journal of Cleaner Production

[Paper] [arXiv] [Poster]
Application of entropy and signal energy for ultrasound-based classification of three-dimensional printed polyetherketoneketone components

#6 Application of entropy and signal energy for ultrasound-based classification of three-dimensional printed polyetherketoneketone components

with Francesco Luzi et al.

The Journal of the Acoustical Society of America

[Paper]
Tracking the Chemical Evolution of Iodine Species Using Recurrent Neural Networks

#7 Tracking the Chemical Evolution of Iodine Species Using Recurrent Neural Networks

with Jenna Bilbrey et al.

ACS Omega

[Paper] [Press Release]
Robust Assessment of Real-World Adversarial Examples

#8 Robust Assessment of Real-World Adversarial Examples

with Brett Jefferson

CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision

[Paper] [arXiv] [Talk] [Slides]
Hypernetwork Science via High-Order Hypergraph Walks

#9 Hypernetwork Science via High-Order Hypergraph Walks

with Sinan Aksoy et al.

EPJ Data Science

[Paper] [arXiv]
Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

#10 Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

with Alexandre Tartakovsky et al.

Water Resources Research

[Paper] [arXiv] [Slides] [Repo]
On the structure of isometrically embeddable metric spaces

#11 On the structure of isometrically embeddable metric spaces

with Stephen Young and Kathleen Nowak

Electronic Journal of Linear Algebra

[Paper] [arXiv]