Abstract We present a quantum algorithm for data classification based on the nearest-neighbor learning algorithm. The is divided into two steps: Firstly, in same class smaller groups with sublabels assisting building boundaries between different labels. Secondly we construct circuit that contains multi control gates. easy to implement and efficient predicting labels of test data. To illustrate ...

This paper proposes a Hybrid Quantum Evolutionary Algorithm. Quantum computing is capable of processing huge numbers of quantum states simultaneously, in parallel, (“quantum parallelism”), whereas evolutionary computing can only process one chromosome per processor. In theory, QC ought to be able to process upto all possible points in a 2 search space (of N bit chromosomes). An evolutionary alg...