We present two new positive results for reliable computation using formu...
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headline...
At the heart of both lossy compression and clustering is a trade-off bet...
It has been an open question in deep learning if fault-tolerant computat...
Hamiltonian learning is an important procedure in quantum system
identif...
Learning exists in the context of data, yet notions of confidence
typica...
The Information Bottleneck (IB) method (tishby2000information)
provides ...
Compared to humans, machine learning models generally require significan...
Noisy PN learning is the problem of binary classification when training
...