Randomized Linear and Compressed Gate Set Tomography
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Miller, Nathaniel Robert↗
Engineering topics
Proctor, Timothy James
Publications and source records attributed to Proctor, Timothy James.
Pauli Noise Learning for Mid-Circuit Measurements
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Hines, Jordan Hastings↗
Classical Machine Learning for Quantum Information Systems
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Proctor, Timothy James↗
Benchmarking progress towards quantum utility
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Proctor, Timothy James↗
Validating models of quantum computers in practice
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Dahlhauser, Megan Lilly↗
Scalable Benchmarking of Quantum Chemistry Algorithms using Circuit Mirroring
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Wilber-Gauthier, Aidan Quinn↗
Scalable randomized benchmarking with mid-circuit measurements
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Hothem, Daniel George↗
Scalable Randomized Benchmarking with Mid-Circuit Measurements, Part 2
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Hines, Jordan Hastings↗
Learning the capabilities of quantum computers using physics-informed neural networks
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Proctor, Timothy James↗
A Simple Statistical Model for Randomized Benchmarking Data
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Surti, Samyak Prasoon↗
Predictive Models from Quantum Computer Benchmarks
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Blume-Kohout, Robin J.↗
Learning the capabilities of quantum computers with custom neural networks
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Proctor, Timothy James↗
Learning a quantum computer's capability using convolutional neural networks
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Hothem, Daniel George↗
Modeling Low-Frequency Hamiltonian Noise
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Ostrove, Corey Isaac↗
Experimental demonstration of mirror circuit fidelity estimation
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Calderon Vargas, Fernando Antonio↗
Validating models of quantum computer performance
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Dahlhauser, Megan Lilly↗
A physics-based machine learning approach to quantum device characterization
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Hothem, Daniel George↗
Gate Set Tomography for Continuously Parameterized Gates
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Hines, Jordan Hastings↗