Realization of quantum algorithms with qudits

• URL: http://arxiv.org/abs/2311.12003v1
• Date: Mon, 20 Nov 2023 18:34:19 GMT
• Title: Realization of quantum algorithms with qudits
• Authors: Evgeniy O. Kiktenko, Anastasiia S. Nikolaeva, Aleksey K. Fedorov
• Abstract summary: We review several ideas indicating how multilevel quantum systems, also known as qudits, can be used for efficient realization of quantum algorithms. We focus on techniques of leveraging qudits for simplifying decomposition of multiqubit gates, and for compressing quantum information by encoding multiple qubits in a single qudit. These theoretical schemes can be implemented with quantum computing platforms of various nature, such as trapped ions, neutral atoms, superconducting junctions, and quantum light.
• Score: 0.7892577704654171
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The paradigm behind digital quantum computing inherits the idea of using binary information processing. The nature in fact gives much more rich structures of physical objects that can be used for encoding information, which is especially interesting in the quantum mechanical domain. In this Colloquium, we review several ideas indicating how multilevel quantum systems, also known as qudits, can be used for efficient realization of quantum algorithms, which are represented via standard qubit circuits. We focus on techniques of leveraging qudits for simplifying decomposition of multiqubit gates, and for compressing quantum information by encoding multiple qubits in a single qudit. As we discuss, these approaches can be efficiently combined. This allows reducing in the number of entangling (two-body) operations and the number of the used quantum information carriers compared to straightforward qubit realizations. These theoretical schemes can be implemented with quantum computing platforms of various nature, such as trapped ions, neutral atoms, superconducting junctions, and quantum light. We conclude with summarizing a set of open problems, whose resolving is an important further step towards employing universal qudit-based processors for running qubit algorithms.

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