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quant-ph2023
Characterizing non-Markovian Quantum Process by Fast Bayesian Tomography
R. Y. Su, J. Y. Huang, N. Dumoulin. Stuyck +15
To push gate performance to levels beyond the thresholds for quantum error correction, it is important to characterize the error sources occurring on quantum gates. However, the ch…
quant-ph2019★ 17 cited
Scalable Bayesian Hamiltonian learning
Tim J. Evans, Robin Harper, Steven T. Flammia
As the size of quantum devices continues to grow, the development of scalable methods to characterise and diagnose noise is becoming an increasingly important problem. Recent metho…