Blind channel estimation for continuous‐variable quantum key distribution

Abstract

How to cite this article: Li Y. Blind channel estimation for continuous-variable quantum key distribution.

Deterministic nondestructive state analysis for polarization-spatial-time-bin hyperentanglement with cross-Kerr nonlinearity*

“…Entanglement is an useful quantum resource in quantum information processing, and it is a crucial resource for quantum communication programs, such as quantum key distribution, [1][2][3][4][5][6][7] quantum dense coding, [8,9] quantum teleportation, [10,11] quantum secret sharing, [12][13][14][15] quantum swapping, [16] quantum secure direct communication, [17][18][19][20][21][22][23] and so on. In these quantum communication programs, Bell state analysis (BSA) is a key step to read out the quantum information.…”

Feasible high-dimensional measurement-device-independent quantum key distribution

“…Quantum communication attracts much attention due to its absolute security. Quantum secure communication includes some important branches, such as quantum key distribution (QKD) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] and quantum secure direct communication (QSDC) [17][18][19][20][21][22][23][24][25][26][27][28][29][30]. QKD, which is the most widely researched branch of quantum secure communication, * Author to whom any correspondence should be addressed.…”

Three musketeers of a quantum channel: Backlog, delay, and throughput

“…Many works are trying to improve the performance of practical continuous-variable protocols, which include adding non-Gaussian operations 2,3 into certain communication schemes and designing efficient parameter estimation technologies. 4,5…”

“…Moreover, it should be noted that continuous variable protocols have received much attention recently, due to that it is compatible with off‐the‐shelf telecommunication components as well as it achieves a high secret key rate. Many works are trying to improve the performance of practical continuous‐variable protocols, which include adding non‐Gaussian operations 2,3 into certain communication schemes and designing efficient parameter estimation technologies 4,5 …”