Qudit Implementation of the Rodeo Algorithm for Quantum Spectral Filtering
Julio Cesar Siqueira Rocha, Rodrigo Alves Dias

TL;DR
This paper extends the Rodeo algorithm to qudits, introducing a spectral filter and a protocol for entropic estimation, demonstrating improved performance in quantum spectral analysis of multi-level systems.
Contribution
It formulates the Rodeo algorithm using qudits, introduces the Rodeo kernel as a spectral filter, and proposes a microcanonical protocol for entropic estimation.
Findings
Qudit implementation reduces fluctuations by 18% compared to qubits.
Numerical simulations on the Ising model validate the approach.
Qudits enhance spectral and thermodynamic analysis of multi-level systems.
Abstract
Qudits, the multi-level generalization of qubits, provide a natural extension of the binary paradigm in quantum computation and offer new opportunities to enhance algorithmic performance. Beyond their direct applicability to the simulation of multi-level quantum systems, higher-dimensional ancillae can improve sampling efficiency in quantum algorithms by enabling the simultaneous implementation of multiple control operations, thereby reducing circuit complexity. In this work, we pursue three main objectives. First, we present a formulation of the Rodeo algorithm employing a general -level ancilla qudit. Second, we introduce the concept of the \emph{Rodeo kernel}, defined as a two-frequency interferometer, which acts as a spectral filter in the energy domain. Finally, we propose a microcanonical protocol for the Rodeo algorithm. This protocol enables the estimation of entropic…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum many-body systems
