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Scalable quantum computing with qudits on a graph

2019/09/30 by Evgeniy O. Kiktenko, E. O. Kiktenko, A. S. Nikolaeva +5 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Computer science #Mathematics #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum algorithm #Quantum circuit #Quantum computer #Quantum error correction #Quantum gate #Quantum mechanics #Quantum-Dot Cellular Automata #Qubit #Realization (probability) #Relation (database) #Scalability #Theoretical computer science #Toffoli gate #Topology (electrical circuits) #cond-mat.quant-gas #quant-ph

paper · pdf · doi:10.1103/physreva.101.022304

published as Phys. Rev. A 101, 022304 (2020) · 7 pages; 3 figures

openalex publication_date 2020/02/05 · arxiv created 2020/02/11 · arxiv updated 2020/02/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

We show a significant reduction of the number of quantum operations and the improvement of the circuit depth for the realization of the Toffoli gate by using qudits. This is done by establishing a general relation between the dimensionality of qudits and their topology of connections for a scalable multiqudit processor, where higher qudit levels are used for substituting ancillas. The suggested model is of importance for the realization of quantum algorithms and as a method of quantum error correction codes for single-qubit operations.

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