9 citations · 21 across the 11 of their papers we have counts for
11 papers
Q#, a quantum computation package for the .NET platform
A. S. Tolba, M. Z. Rashad, M. A. El-Dosuky
Quantum computing is a promising approach of computation that is based on equations from Quantum Mechanics. A simulator for quantum algorithms must be capable of performing heavy m…
Quantum-inspired Huffman Coding
A. S. Tolba, M. Z. Rashad, M. A. El-Dosuky
Huffman Compression, also known as Huffman Coding, is one of many compression techniques in use today. The two important features of Huffman coding are instantaneousness that is th…
Collaborating Robotics Using Nature-Inspired Meta-Heuristics
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
This paper introduces collaborating robots which provide the possibility of enhanced task performance, high reliability and decreased. Collaborating-bots are a collection of mobile…
New SpiroPlanck Heuristics for High Energy Physics Networking and Future Internet Testbeds
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
The need for data intensive Grids, and advanced networks with high performance that support our science has made the High Energy Physics community a leading and a key co-developer…
Improving problem solving by exploiting the concept of symmetry
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
We investigate the concept of symmetry and its role in problem solving. This paper first defines precisely the elements that constitute a "problem" and its "solution," and gives se…
Spike and Tyke, the Quantized Neuron Model
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
Modeling spike firing assumes that spiking statistics are Poisson, but real data violates this assumption. To capture non-Poissonian features, in order to fix the inevitable inhere…