aiqbench analysis
This research presents a novel quantum algorithm utilizing density matrix exponentiation and improved quantum phase estimation (IQPE) to efficiently calculate trace distance between arbitrary states, addressing a key bottleneck in quantum state discrimination. By achieving a time complexity of $O(N^2/\varepsilon^6)$, the method offers significant computational advantages for both pure and mixed states on near-term hardware like IBM's quantum processors. The study validates its efficacy through proof-of-principle simulations and actual device runs, marking progress toward practical applications in quantum information theory.
Estimation of trace distance between two arbitrary quantum states
arXiv:2604.05628v2 Announce Type: replace Abstract: When it comes to discriminating between two quantum states, trace distance is one of the well-known metrics used in quantum computation and quantum information theory. While there are several quantum algorithms for calculating the trace distance between two quantum states, computing it for any two general density matrices remains computationally demanding. In this paper, we propose a quantum algorithm based on the exponentiation of the density matrix and the improved quantum phase estimation (IQPE) to determine the trace distance for both pure and mixed states, with a time complexity of $O(N^2/\varepsilon^6)$ where $N$ is the number of qubits of the given states and $\varepsilon$ is the simulation or estimation precision error. We demonstrate its ability to predict the quantity with proof-of-principle simulations and also quantum hardware computations on the IBM quantum computers, confirming its promise for near-term quantum devices.
Abstract:When it comes to discriminating between two quantum states, trace distance is one of the well-known metrics used in quantum computation and quantum information theory. While there are several quantum algorithms for calculating the trace distance between two quantum states, computing it for any two general density matrices remains computationally demanding. In this paper, we propose a quantum algorithm based on the exponentiation of the density matrix and the improved quantum phase estimation (IQPE) to determine the trace distance for both pure and mixed states, with a time complexity of $O(N^2/\varepsilon^6)$ where $N$ is the number of qubits of the given states and $\varepsilon$ is the simulation or estimation precision error. We demonstrate its ability to predict the quantity with proof-of-principle simulations and also quantum hardware computations on the IBM quantum computers, confirming its promise for near-term quantum devices.
arXiv:2604.05628 [quant-ph]
(or arXiv:2604.05628v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.05628 Focus to learn more arXiv-issued DOI via DataCite
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