Quantum computation and quantum information
Quantum computation and quantum information
Exponential algorithmic speedup by a quantum walk
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Experimental Demonstration of Quantum Lattice Gas Computation
Quantum Information Processing
Dephasing of Quantum Bits by a Quasi-Static Mesoscopic Environment
Quantum Information Processing
Electromagnetics, Microwave Circuit, And Antenna Design for Communications Engineering, Second Edition (Artech House Antennas and Propagation Library)
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
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Quantum computing offers new concepts for the simulation of complex physical systems. A quantum computing algorithm for electromagnetic field simulation is presented here. The electromagnetic field simulation is performed on the basis of the Transmission Line Matrix (TLM) method. The Hilbert space formulation of TLM allows us to obtain a time evolution operator for the TLM method, which can then be interpreted as the time evolution operator of a quantum system, thus yielding a quantum computing algorithm. Further, the quantum simulation is done within the framework of the quantum circuit model of computation. Our aim has been to address the design problem in electromagnetics--given an initial condition and a final field distribution, find the structures which satisfy these. Quantum computing offers us the possibility to solve this problem from first principles. Using quantum parallelism we simulate a large number of electromagnetic structures in parallel in time and then try to filter out the ones which have the required field distribution.