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Quantum Fourier Transform (QFT) plays a principal role in the development of efficient quantum algorithms. Since the number of quantum bits that can currently be built is limited, while many quantum technologies are inherently three (or more) valued, we consider extending the reach of the realistic quantum systems by building a QFT over ternary quantum digits. Compared to traditional binary QFT, the q{\hbox{-}}\rm valued transform improves approximation properties and increases the state space by a factor of (q/2)^{n}. Further, we use nonbinary QFT derivation to generalize and improve the approximation bounds for QFT.
Fourier transform, quantum computing, multivalued logic circuits, multivariable systems, Walsh functions.

K. Radecka and Z. Zilic, "Scaling and Better Approximating Quantum Fourier Transform by Higher Radices," in IEEE Transactions on Computers, vol. 56, no. , pp. 202-207, 2007.
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