activity
20192023
most citedSynergic quantum generative machine learning

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 1 cited

Sensitivity versus selectivity in entanglement detection via collective witnesses

Vojtěch Trávníček, Jan Roik, Karol Bartkiewicz +3

In this paper, we present a supervised learning technique that utilizes artificial neural networks to design new collective entanglement witnesses for two-qubit and qubit-qutrit sy…

quant-ph2022★ 1 cited

Entanglement quantification from collective measurements processed by machine learning

Jan Roik, Karol Bartkiewicz, Antonín Černoch +1

In this paper, we investigate how to reduce the number of measurement configurations needed for sufficiently precise entanglement quantification. Instead of analytical formulae, we…

quant-ph2021★ 3 cited

Synergic quantum generative machine learning

Karol Bartkiewicz, Patrycja Tulewicz, Jan Roik +1

We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstra…

quant-ph2020

How confused can an entanglement witness be to be still persuasive

Jan Roik, Karol Bartkiewicz, Antonín Černoch +1

Detection of entangled states is essential in both fundamental and applied quantum physics. However, this task proves to be challenging especially for general quantum states. One c…

quant-ph2019

Interplay between strong and weak measurement: Comparison of three experimental approaches to weak value estimation

Jan Roik, Karel Lemr, Antonín Černoch +1

Weak values are traditionally obtained using a weak interaction between the measured system and a pointer state. It has, however, been pointed out that weak coupling can be replace…