2 papers
cs.LG2020
CryptoCredit: Securely Training Fair Models
Leo de Castro, Jiahao Chen, Antigoni Polychroniadou
When developing models for regulated decision making, sensitive features like age, race and gender cannot be used and must be obscured from model developers to prevent bias. Howeve…
quant-ph2020
Software tools for quantum control: Improving quantum computer performance through noise and error suppression
Harrison Ball, Michael J. Biercuk, Andre Carvalho +10
Manipulating quantum computing hardware in the presence of imperfect devices and control systems is a central challenge in realizing useful quantum computers. Susceptibility to noi…