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Chih-Cheng Hsueh

Publications and source records attributed to Chih-Cheng Hsueh.

2 recordsLinked to original sources
arXiv2004

Quantum secret key encryption algorithm based on quantum discrete logarithm problem

In this paper, we first define the quantum discrete logarithm problem (QDLP)which is similar to classical discrete logarithm problem. But, this problem cannot be solved by Shor's quantum algorithm. Based on quantum discrete logarithm problem, we present a novel quantum secret key encryption algorithm. The receiver constructs his quantum channel using their secret key. Then, the sender can use the receiver's quantum channel to encrypt the message. Finally, the receiver dencrypts the ciphertext by using secret key. In our algorithm, the quantum system will be broken after transferring messages. But, the secret key can still be used repeatedly in our algorithm.

quant-ph↗
arXiv2004

Ensemble Algorithm for the Selection Problem by NMR Ensemble Quantum Computers

In this paper, we present an ensemble algorithm for selection problem to find the k-th smallest element in the unsorted database. We will search the k-th smallest element by using "divide-and-conquer" strategy. We first divide D, the domain of the database, into two parts, determine which of the two parts the object element sought belongs to, and then concentrate on that part. We repeat divide that part until object element is found. The determination of which part depends on the output of ensemble counting scheme, which outputs the number of assignments satisfying the value of the oracle query function is set to one. Our algorithm modifies the ensemble counting scheme by constructing a new oracle query function g_y(j). We set g_y(j) to one if the j-th element is less than or equal to y. At first, we set y to the middle value of D and perform the ensemble counting scheme with the oracle query function g_y(.) to compute the number C, the number of j satisfying g_y(j)=1. If C>k, the object element lies in the first half of D. If C<=k, then it must be in the second half of D. We recursively apply this method by adapting y until the object element is found. Our algorithm thus requires O(ln|D|) oracle queries for adequate measure accuracy to find the k-th smallest element, where |D| denotes the size of D.

quant-ph↗