Fulin Li
Hefei University of Technology
14 Papers
Fulin Li is an academic researcher from Hefei University of Technology. The author has contributed to research in topics: Computer science & Quantum cryptography. The author has an hindex of 1, co-authored 2 publications.
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Papers
A verifiable (k, n)-threshold dynamic quantum secret sharing scheme
TL;DR: A verifiable (k, n)-threshold dynamic quantum secret sharing scheme that can determine the honesty of which one of the participants by the one-to-one correspondence between the shadows and its hash values is proposed.
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New entanglement-assisted quantum MDS codes with larger minimum distance
TL;DR: This paper constructs some new entanglement-assisted quantum maximum distance separable (EAQMDS) codes with lengths n = q 2 + 1 and n = n=(q^2+1)/2 from negacyclic MDS codes and constacyClic M DS codes, respectively.
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Dynamic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e341" altimg="si356.svg"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math> threshold quantum secret sharing based on <mml:math xmlns:mml="h
Fulin Li,Tingyan Chen,Shixin Zhu +2 more
TL;DR: In this paper , a dynamic threshold quantum secret sharing scheme based on homogeneous LFSR sequences and d-dimensional Bell states is proposed, where the secret shared among agents is determined by the distributor and the scheme enables the update of agents without the help of other agents.
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A new (w, t, n)-weighted threshold quantum secret sharing scheme based on two-qubit system
Fulin Li,Mei Luo,Shixin Zhu +2 more
TL;DR: Wang et al. as discussed by the authors constructed a new ( w , t , n )-weighted threshold quantum secret sharing scheme in the two-qubit system based on the Chinese Remainder Theorem.
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A (t, n) Threshold Quantum Secret Sharing Scheme with Fairness
Fulin Li,Tingyan Chen,Shixin Zhu +2 more
TL;DR: The proposed scheme only requires the distributor to provide a share for each participant to achieve fairness and combines the privacy features of secure multi-party computing to ensure the reuse of participants’ secret shares.
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