47 citations · 116 across the 6 of their papers we have counts for
Showing 2021 · quant-phShow all
3 papers · 2 filters
quant-ph2021★ 8 cited
A Logarithmic Bayesian Approach to Quantum Error Detection
Ian Convy, K. Birgitta Whaley
We consider the problem of continuous quantum error correction from a Bayesian perspective, proposing a pair of digital filters using logarithmic probabilities that are able to ach…
quant-ph2021★ 23 cited
Machine Learning for Continuous Quantum Error Correction on Superconducting Qubits
Ian Convy, Haoran Liao, Song Zhang +5
Continuous quantum error correction has been found to have certain advantages over discrete quantum error correction, such as a reduction in hardware resources and the elimination…
quant-ph2021★ 20 cited
Mutual Information Scaling for Tensor Network Machine Learning
Ian Convy, William Huggins, Haoran Liao +1
Tensor networks have emerged as promising tools for machine learning, inspired by their widespread use as variational ansatze in quantum many-body physics. It is well known that th…