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Machine Learning Assisted Quantum Channel Estimation
Junaid ur Rehman,Hyundong Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Choi-Jamiołkowski isomorphism induces a duality between quantum channels and quantum states. We utilize this isomorphism for quantum channel estimation by using a neural network that has been trained for quantum state estimation task. We show that a neural network that has not been exposed to quantum channels performs reasonably well for channel estimation task due to quantum channel-state duality. We train our network on two-qubit states and utilize it to estimate random qubit channels whose Choi state has same dimensions as a general two-qubit state.
Security of a control key in quantum key distribution
ur Rehman, Junaid,Qaisar, Saad,Jeong, Youngmin,Shin, Hyundong World Scientific Publishing Company 2017 MODERN PHYSICS LETTERS B Vol.31 No.11
<P>Quantum key distribution (QKD) schemes rely on the randomness to exchange secret keys between two parties. A control key to generate the same (pseudo)-randomness for the key exchanging parties increases the key exchange rate. However, the use of pseudo-randomness where true randomness is required makes a classical system vulnerable to the known plain-text attack. Contrary to the belief of unavailability of this attack in QKD, we show that this attack is actually possible whenever a control key is employed. In this paper, we show that it is possible to make use of the uncertainty principle to not only avoid this attack, but also remove the hazards of photon-number splitting attack in quantum setting. We define the secrecy of control key based on the guessing probability, and propose a scheme to achieve this defined secrecy. We show the general applicability of our framework on the most common QKD schemes.</P>