9 citations · 9 across the 3 of their papers we have counts for
3 papers
quant-ph2025
Extending quantum correlations to arbitrary distances via parallel repetition of routed Bell tests
Anubhav Chaturvedi, Marcin Pawłowski, Máté Farkas
Applications such as Device-Independent Quantum Key Distribution (DIQKD) require loophole-free certification of long-distance quantum correlations. However, these distances remain…
quant-ph2023
Unbounded device-independent quantum key rates from arbitrarily small non-locality
Máté Farkas
Device-independent quantum key distribution allows for proving the security of a shared cryptographic key between two distant parties with potentially untrusted devices. The securi…
quant-ph2023★ 9 cited
Contextuality and inductive bias in quantum machine learning
Joseph Bowles, Victoria J Wright, Máté Farkas +2
Generalisation in machine learning often relies on the ability to encode structures present in data into an inductive bias of the model class. To understand the power of quantum ma…