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Fatih Ozaydin, Ramita Sarkar, Veysel Bayrakci, Cihan Bayindir, Azmi Ali Altintas and Özgür E. Müstecaplioglu
Decoherence is a major issue in quantum information processing, degrading the performance of tasks or even precluding them. Quantum error-correcting codes, creating decoherence-free subspaces, and the quantum Zeno effect are among the major means for pro...
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Phillip Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo and Eleanor G. Rieffel
We present two algorithms in the quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability: one for producing an approximately optimal Steiner tree, and one for producing an exact directed minimum spanning tree, each of w...
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Beimbet Daribayev, Aksultan Mukhanbet and Timur Imankulov
The Poisson equation is a fundamental equation of mathematical physics that describes the potential distribution in static fields. Solving the Poisson equation on a grid is computationally intensive and can be challenging for large grids. In recent years...
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Youssef Moawad, Wim Vanderbauwhede and René Steijl
As quantum computing technology continues to develop, the need for research into novel quantum algorithms is growing. However, such algorithms cannot yet be reliably tested on actual quantum hardware, which is still limited in several ways, including qub...
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Xiaoyu Liu, Wenqian Peng, Liuyin Xie and Xiang Zhang
In this paper, a novel bat algorithm based on the quantum computing concept and pyramid neural network (PNN) is presented and applied to the electromagnetic motor optimization problem. Due to the problems of high loss, high temperature rise and threateni...
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