6 citations · 7 across the 2 of their papers we have counts for
3 papers
Programming Quantum Hardware via Levenberg Marquardt Machine Learning
James E. Steck, Nathan L. Thompson, Elizabeth C. Behrman
Significant challenges remain with the development of macroscopic quantum computing, hardware problems of noise, decoherence, and scaling, software problems of error correction, an…
A non-algorithmic approach to "programming" quantum computers via machine learning
Nathan Thompson, James Steck, Elizabeth Behrman
Major obstacles remain to the implementation of macroscopic quantum computing: hardware problems of noise, decoherence, and scaling; software problems of error correction; and, mos…
Experimental pairwise entanglement estimation for an N-qubit system :A machine learning approach for programming quantum hardware
N. L. Thompson, N. H. Nguyen, E. C. Behrman +1
Designing and implementing algorithms for medium and large scale quantum computers is not easy. In previous work we have suggested, and developed, the idea of using machine learnin…