Noah Berthusen

As of 19 August 2024
A photo of J. Doe

I'm a fourth-year PhD student in computer science at the University of Maryland. I work with Daniel Gottesman on quantum error correction.

I received my undergraduate degree in Software Engineering at Iowa State University in May 2021.

I can be reached at someone at example dot com or on LinkedIn. Also visit my Github to find code repositories for many of the projects below.

Publications

Experiments with the 4D Surface Code on a QCCD Quantum Computer
Noah Berthusen, Joan Dreiling, Cameron Foltz, John P. Gaebler, Thomas M. Gatterman, Dan Gresh, Nathan Hewitt, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, and David Hayes
Toward a 2D Local Implementation of Quantum LDPC Codes
Noah Berthusen, Dhruv Devulapalli, Eddie Schoute, Andrew M. Childs, Michael J. Gullans, Alexey V. Gorshkov, and Daniel Gottesman
Partial Syndrome Measurement for Hypergraph Product Codes
Noah Berthusen and Daniel Gottesman
Accompanying blog post
Quantum Logic Gate Synthesis as a Markov Decision Process
M. Sohaib Alam, Noah F. Berthusen, and Peter P. Orth
Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
Anirban Mukherjee, Noah F. Berthusen, João C. Getelina, Peter P. Orth, and Yong-Xin Yao
Quantum dynamics simulations beyond the coherence time on NISQ hardware by variational Trotter compression
Noah F. Berthusen, Thaís V. Trevisan, Tom Iadecola, and Peter P. Orth
Learning crystal field parameters using convolutional neural networks
Noah F. Berthusen, Yuriy Sizyuk, Mathias S. Scheurer, and Peter P. Orth
Shallow-circuit variational quantum eigensolver based on symmetry-inspired Hilbert space partitioning for quantum chemical calculations
Feng Zhang, Niladri Gomes, Noah F. Berthusen, Peter P. Orth, Cai-Zhuang Wang, Kai-Ming Ho, and Yong-Xin Yao
Efficient step-merged quantum imaginary time evolution algorithm for quantum chemistry
Niladri Gomes, Feng Zhang, Noah F. Berthusen, Cai-Zhuang Wang, Kai-Ming Ho, Peter P. Orth, and Yong-Xin Yao

Talks and Presentations

Partial Syndrome Measurement for Hypergraph Product Codes
October 2023. Contributed talk at QEC23
Efficient quantum circuit compression using Reinforcement Learning
May 2021. Iowa State Honors Project poster presentation.
Design of Quantum-classical Computing Hybrid Algorithms for Materials Simulation
April 2021. Poster presentation for National Conference on Undergraduate Research (NCUR).
Introduction to the variational quantum eigensolver method
November 2020. Talk presented at Quantum computing reading group at ISU.
Benchmarking Noise Extrapolation on a Quantum Chip with OpenPulse
August 2020. Oak Ridge National Lab SULI poster presentation.
Quantum variational algorithms apporach to solve the strongly correlated materials challenge
April 2020. Oral presentation at Iowa State Symposium on Undergraduate Research. National Conference on Undergraduate Research at the Montana State University, Bozeman, MT (cancelled due to Covid-19).
Machine Learning and the Schrödinger equation
March 2018. Poster presented Iowa State Honors Research Symposium.