Scaling and Better Approximating Quantum Fourier Transform by Higher Radices
IEEE Transactions on Computers
Synthesis of multi-qudit hybrid and d-valued quantum logic circuits by decomposition
Theoretical Computer Science
The quantum Schur and Clebsch-Gordan transforms: I. efficient qudit circuits
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Note on the Khaneja glaser decomposition
Quantum Information & Computation
A new algorithm for producing quantum circuits using KAK decompositions
Quantum Information & Computation
Efficient circuits for exact-universal computationwith qudits
Quantum Information & Computation
Synthesis of quantum-logic circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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We study the problem of designing minimal quantum circuits for any operations on nqudits by means of the cosine-sine decomposition. Our method is based on a divide-and-conquer strategy. In that strategy, the size of the produced quantum circuit depends onwhether the partitioning is balanced. We provide a new cosine-sine decomposition basedon a balanced partitioning for d-level systems. The produced circuit is not asymptoticallyoptimal except when d is a power of two, but, when the number of qudits n is small, ourmethod can produce the smallest quantum circuit compared to the circuits produced byother synthesis methods. For example, when d = 3 (three-level systems) and n = 2 (twoqudits), then the number of two-qudit operations called CINC, which is a generalizedversions of CNOT, is 36 whereas the previous method needs 156 CINC gates. Moreover,we show that our method is useful for designing a polynomial-size quantum circuit forthe radix-d quantum Fourier transform.