0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Optimization of quantum secret sharing communication using corresponding bits
Authors :
Mahsa Khorrampanah
1
Mohammad Bolokian
2
Monireh Houshmand
3
1- Faculty of Electrical and Computer Engineering, University of Tabriz
2- Faculty of Electrical Engineering, Imam Reza International University
3- Faculty of Electrical Engineering, Imam Reza International University
Keywords :
quantum computation, quantum cryptography, quantum secret sharing, quantum secure direct communication
Abstract :
A three-party quantum secret sharing protocol using secure direct communication is proposed. The protocol is an improved version of Wang et al.’s in terms of efficiency. The improvement is achieved by introducing a new concept of “encoded classical bits” in the decoding phase. Using the proposed protocol, treble amount of message at a time is transmitted instead of doing J. Wang et al.'s protocol thrice. No qubit carrying the message is sent. Therefore, the protocol is completely secure, if the perfect quantum channel is used.
Papers List
List of archived papers
Density Estimation Helps Adversarial Robustness
Afsaneh Hasanebrahimi - Bahareh Kaviani Baghbaderani - Reshad Hosseini - Ahmad Kalhor
Ramp Progressive Secret Image Sharing using Ensemble of Simple Methods
Atieh Mokhtari - Mohammad Taheri
A parallel CNN-BiGRU network for short-term load forecasting in demand-side management
Arghavan Irankhah - Sahar Rezazadeh Saatlou - Mohammad Hossein Yaghmaee - Sara Ershadi-Nasab - Mohammad Alishahi
Sports News Summarization Using Ensebmle Learning
Moein Sartakhti.salimi@gmail.com - Mohammad Javad Maleki Kahaki - Ahmad Yoosofan - Seyyed Vahid Moravvej
Simulation-Based Data Augmentation for Apple Leaf Disease Using Statistical Moments and HSV Color Features
Seyedeh Maryam Moosavi - Morteza Gholipour - Yasser Baleghi
PowerLinear Activation Functions with application to the first layer of CNNs
Kamyar Nasiri - Kamaledin Ghiasi-Shirazi
Improve the utility of tensor cores by compacting sparse matrix technique
Mohammad.S Abazari - Mahsa Zahedi - Abdorreza Savadi
FAST: FPGA Acceleration of Neural Networks Training
Alireza Borhani - Mohammad Hossein Goharinejad - Hamid Reza Zarandi
Cardiology Disease Diagnosis by Analyzing Histological Microscopic Images Using Deep Learning
Maria Salehpanah - Jafar Tanha - Zahra Jafari - SeyedEhsan Roshan - Sajad Rezaei
Identifying novel disease genes based on protein complexes and biological features
Mahshad Hashemi - Eghbal Mansoori
more
Samin Hamayesh - Version 43.7.0