Publication | Closed Access
Scaling and Better Approximating Quantum Fourier Transform by Higher Radices
35
Citations
15
References
2007
Year
Spectral TheoryQuantum SoftwareEngineeringHigher RadicesTraditional Binary QftQuantum ComputingQuantum Optimization AlgorithmQuantum Machine LearningQuantum ControlQuantum EntanglementApproximation TheoryQuantum SciencePhysicsQuantum AlgorithmQuantum InformationQuantum VolumeQuantum SwitchesFourier AnalysisComputer ScienceNonbinary Qft DerivationQuantum TransducersQuantum CompilersQuantum Fourier TransformNatural SciencesQuantum DevicesQuantum Error CorrectionQuantum Algorithms
Quantum Fourier transform (QFT) plays a principal role in the development of efficient quantum algorithms. Since the number of quantum bits that can 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-valued transform improves approximation properties and increases the state space by a factor of (q/2) <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> . Further, we use nonbinary QFT derivation to generalize and improve the approximation bounds for QFT
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