2 citations · 2 across the 4 of their papers we have counts for
4 papers
A no-go theorem for privacy in distributed sensing using Gaussian states
Jason L. Pereira, Damian Markham
In the discrete variable setting, entangled resource states allow a set of parties to learn a global function of a set of spatially separated systems, whilst keeping the local para…
Out-of-distribution generalisation for learning quantum channels with low-energy coherent states
Jason L. Pereira, Quntao Zhuang, Leonardo Banchi
When experimentally learning the action of a continuous variable quantum process by probing it with inputs, there will often be some restriction on the input states used. One exper…
Few measurement shots challenge generalization in learning to classify entanglement
Leonardo Banchi, Jason Pereira, Marco Zamboni
The ability to extract general laws from a few known examples depends on the complexity of the problem and on the amount of training data. In the quantum setting, the learner's gen…
Learning to Classify Quantum Phases of Matter with a Few Measurements
Mehran Khosrojerdi, Jason L. Pereira, Alessandro Cuccoli +1
We study the identification of quantum phases of matter, at zero temperature, when only part of the phase diagram is known in advance. Following a supervised learning approach, we…