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2020 – today
- 2024
[i5]Daniel Hothem, Ashe Miller, Timothy Proctor:
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks. CoRR abs/2406.05636 (2024)- [i4]Timothy Proctor, Kevin C. Young, Andrew D. Baczewski, Robin Blume-Kohout:
Benchmarking quantum computers. CoRR abs/2407.08828 (2024) - 2023
- [j2]Fernando A. Calderon-Vargas
, Timothy Proctor, Kenneth Rudinger, Mohan Sarovar:
Quantum circuit debugging and sensitivity analysis via local inversions. Quantum 7: 921 (2023) - [c1]Daniel Hothem, Jordan Hines, Karthik Nataraj, Robin Blume-Kohout, Timothy Proctor:
Predictive Models from Quantum Computer Benchmarks. QCE 2023: 709-714 - [i3]Daniel Hothem, Kevin C. Young, Tommie A. Catanach, Timothy Proctor:
Learning a quantum computer's capability using convolutional neural networks. CoRR abs/2304.10650 (2023) - [i2]Daniel Hothem, Jordan Hines, Karthik Nataraj, Robin Blume-Kohout, Timothy Proctor:
Predictive Models from Quantum Computer Benchmarks. CoRR abs/2305.08796 (2023) - 2021
- [i1]Thien Nguyen, Dmitry I. Lyakh, Raphael C. Pooser, Travis S. Humble, Timothy Proctor, Mohan Sarovar:
Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler. CoRR abs/2112.10677 (2021) - 2020
- [j1]Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin C. Young, Erik Nielsen, Robin Blume-Kohout:
Detecting crosstalk errors in quantum information processors. Quantum 4: 321 (2020)
Coauthor Index
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