Bert de Jong

Orcid: 0000-0002-7114-8315

Affiliations:
  • Lawrence Berkeley National Laboratory, Berkeley, CA, USA


According to our database1, Bert de Jong authored at least 44 papers between 2000 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Characterizing and Benchmarking Dynamic Quantum Circuits.
CoRR, April, 2026

2025
Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor.
Quantum, 2025

Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization.
Eng. Appl. Artif. Intell., 2025

AutoTandemML: Active learning enhanced tandem neural networks for inverse design problems.
Appl. Soft Comput., 2025

2024
Efficient inverse design optimization through multi-fidelity simulations, machine learning, and boundary refinement strategies.
Eng. Comput., December, 2024

Adaptive variational simulation for open quantum systems.
Quantum, February, 2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
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Future Gener. Comput. Syst., 2024

AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization.
CoRR, 2024

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing.
CoRR, 2024

Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Circuit Partitioning for Scalable Noise-Aware Quantum Circuit Re-Synthesis.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Effective Quantum Resource Optimization via Circuit Resizing in BQSKit.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Real-Time Krylov Theory for Quantum Computing Algorithms.
Quantum, July, 2023

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies.
CoRR, 2023

Powerful Quantum Circuit Resizing with Resource Efficient Synthesis.
CoRR, 2023

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon.
CoRR, 2023

Numerical Circuit Synthesis and Compilation for Multi-State Preparation.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

HamLib: A Library of Hamiltonians for Benchmarking Quantum Algorithms and Hardware.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022
ArQTiC: A Full-stack Software Package for Simulating Materials on Quantum Computers.
ACM Trans. Quantum Comput., September, 2022

Introduction to the Special Issue on Software Tools for Quantum Computing: Part 1.
ACM Trans. Quantum Comput., September, 2022

An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation.
SIAM J. Matrix Anal. Appl., 2022

Test Points for Online Monitoring of Quantum Circuits.
ACM J. Emerg. Technol. Comput. Syst., 2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
QuaSiMo: A composable library to program hybrid workflows for quantum simulation.
IET Quantum Commun., December, 2021

Achieving performance portability in Gaussian basis set density functional theory on accelerator based architectures in NWChemEx.
Parallel Comput., 2021

Algebraic Compression of Quantum Circuits for Hamiltonian Evolution.
CoRR, 2021

Detecting Label Noise via Leave-One-Out Cross-Validation.
CoRR, 2021

Composable Programming of Hybrid Workflows for Quantum Simulation.
Proceedings of the 18th IEEE International Conference on Software Architecture Companion, 2021

2020
On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters.
CoRR, 2020

ML4Chem: A Machine Learning Package for Chemistry and Materials Science.
CoRR, 2020

2019
Developing a Computational Chemistry Framework for the Exascale Era.
Comput. Sci. Eng., 2019

2018
Prediction of Atomization Energy Using Graph Kernel and Active Learning.
CoRR, 2018

2017
Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application.
J. Cheminformatics, 2017

Performance Evaluation of NWChem Ab-Initio Molecular Dynamics (AIMD) Simulations on the Intel® Xeon Phi™ Processor.
Proceedings of the High Performance Computing, 2017

Towards Highly scalable Ab Initio Molecular Dynamics (AIMD) Simulations on the Intel Knights Landing Manycore Processor.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Towards a better understanding of on and off target effects of the lymphocyte-specific kinase LCK for the development of novel and safer pharmaceuticals.
Proceedings of the International Conference on Computational Science, 2017

2016
Bridging experiment and theory: a template for unifying NMR data and electronic structure calculations.
J. Cheminformatics, 2016

2014
The VENUS/NWChem software package. Tight coupling between chemical dynamics simulations and electronic structure theory.
Comput. Phys. Commun., 2014

2013
From data to analysis: linking NWChem and Avogadro with the syntax and semantics of Chemical Markup Language.
J. Cheminformatics, 2013

2011

2010
NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations.
Comput. Phys. Commun., 2010

2009
Liquid water: obtaining the right answer for the right reasons.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2000
Parallelization of four-component calculations. I. Integral generation, SCF, and four-index transformation in the Dirac-Fock package MOLFDIR.
J. Comput. Chem., 2000


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