Timothy Proctor

Sandia National Laboratories California — United States

Computer Science · Physical Sciences

21h-index2.2kcitations154works2.22yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(94), Quantum Information and Cryptography(59), Quantum and electron transport phenomena(26), Advancements in Semiconductor Devices and Circuit Design(22), Quantum Mechanics and Applications(16)

Publications154 total

Platform-Agnostic Modular Architecture for Quantum Benchmarking
arXiv (Cornell University)·2025Open Access
Why Do Filamentous Actinomycetota Produce Such a Vast Array of Specialized Metabolites?
Annual Review of Microbiology·2025· 2 citedOpen Access
A Theory of Direct Randomized Benchmarking
Quantum·2025· 1 citedOpen Access
Learning quantum computers' errors using interpretable neural networks
2025Open Access
Practical Introduction to Benchmarking and Characterization of Quantum Computers
PRX Quantum·2025· 12 citedOpen Access
Benchmarking quantum computers with any quantum algorithm
arXiv (Cornell University)·2025Open Access
Measuring error rates of mid-circuit measurements
Nature Communications·2025· 2 citedOpen Access
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
arXiv (Cornell University)·2025Open Access
Quantum Characterization, Verification, and Validation
arXiv (Cornell University)·2025Open Access
Pauli Noise Learning for Mid-Circuit Measurements
Physical Review Letters·2025· 6 cited
Benchmarking quantum computers
Nature Reviews Physics·2025· 33 cited
A Quantum Computing Benchmark Based on Circuit Features
2025
A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
IEEE Transactions on Quantum Engineering·2025· 2 citedOpen Access
Easy better quantum process tomography
arXiv (Cornell University)·2024Open Access
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
2024Open Access
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
2024Open Access
Measuring error rates of mid-circuit measurements
arXiv (Cornell University)·2024Open Access
Randomized Linear and Compressed Gate Set Tomography
2024Open Access
A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
arXiv (Cornell University)·2024Open Access
Fully Scalable Randomized Benchmarking Without Motion Reversal
PRX Quantum·2024· 10 citedOpen Access
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Frequent Co-authors

Robin Blume-Kohout(22), Kevin Young(20), Kenneth Rudinger(17), Erik Nielsen(14), Jordan Hines(8), Robert J. Gatchel(6), Viv Kendon(6), Mohan Sarovar(5), Charles H. Baldwin(5), Stefan Seritan(5), Tom G. Mayer(5), P. A. Knott(4), Jacob Dunningham(4), Sonika Johri(4), Paul D. Varosy(4), Jeremiah Coleman(4), Jason Necaise(4), Ravi Naik(4), Akel Hashim(4), Irfan Siddiqi(4)