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Generalised Quantum Gates for Qudits and their Application in Quantum Fourier Transform

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arxiv 2410.05122 v2 pith:3HRTD5QC submitted 2024-10-07 quant-ph math.QA

classification quant-phmath.QA
keywords quantumgatesquditsalgorithmsarbitrarycomputingfourierimplementation
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

Quantum computing with qudits, quantum systems with $d > 2$ levels, offers a powerful extension beyond qubits, expanding the computational possibilities of quantum systems, allowing the simplification of the implementation of several algorithms and, possibly, providing a foundation for optimised error correction. In this work, we propose a novel formulation of qudit gates that is universally applicable for any number of levels $d$, without restrictions on the dimensionality. By extending the mathematical framework of quantum gates to arbitrary dimensions, we derive explicit gate operations that form a universal set for quantum computation on qudits of any size. We demonstrate the validity of our approach through the implementation of the Quantum Fourier Transform (QFT) for arbitrary $d$, verifying both the correctness and utility of our generalized gates. This novel methodology broadens the design space for quantum algorithms and fault-tolerant architectures, paving the way for advancements in qudit-based quantum computing.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Ramsey Interferometry in Wigner-Majorana Qudits

    quant-ph 2025-09 conditional novelty 5.0 of 10

    A qutrit prepared in the central state of a Wigner-Majorana spin-1 manifold yields Ramsey fringes cos^2(Δτ), doubling the central-fringe frequency and slope of a qubit at fixed interrogation time.

  2. A short review on qudit quantum machine learning

    quant-ph 2025-05 unverdicted novelty 1.0 of 10

    This survey summarizes the potential of qudit-based quantum machine learning for expressivity and resource efficiency, along with current hardware demonstrations and remaining challenges.

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