Norm M. Tubman

Orcid: 0000-0002-9577-8485

Affiliations:
  • NASA Ames Research Center, Intelligent Systems Division, Moffett Field, CA, USA
  • University of California, Berkeley, Department of Chemistry, Berkeley, CA, USA (former)
  • Northwestern University, Department of Physics and Astronomy, Evanston, IL, USA (former)


According to our database1, Norm M. Tubman authored at least 12 papers between 2019 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
The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysis.
CoRR, January, 2026

2025
Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model.
Quantum, 2025

Efficient Classical Processing of Constant-Depth Time Evolution Circuits in Control Hardware.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024
ARQUIN: Architectures for Multinode Superconducting Quantum Computers.
ACM Trans. Quantum Comput., September, 2024

Beyond MP2 initialization for unitary coupled cluster quantum circuits.
Quantum, 2024

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

A Quantum Approach for Implementing Fixed-Point Arithmetic in Solving Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

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

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach.
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

2021
Optimizing quantum heuristics with meta-learning.
Quantum Mach. Intell., 2021

2019
Optimizing quantum heuristics with meta-learning.
CoRR, 2019


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