Quantum multiparameter estimation with graph states
Hong Tao, Xiaoqing Tan

TL;DR
This paper proposes a scheme for quantum multiparameter estimation using graph states within SU(N) dynamics, demonstrating enhanced precision beyond classical limits and establishing graph states as optimal resources in quantum metrology.
Contribution
It introduces a novel multiparameter estimation scheme with graph states in SU(N) dynamics, showing precision improvements and optimal measurement strategies.
Findings
Global estimation precision exceeds local estimation.
Precision of simultaneous parameters matches single-parameter estimation.
Graph states are proven to be optimal for quantum metrology.
Abstract
In the SU(2) dynamics, it is especially significant to achieve a simultaneous optimal multiparameter estimation but it is very difficult. Evolution on SU(N) dynamics is a research method to explore simultaneous multiparameter estimation with the quantum network. As the highly entangled states, graph state, is an intrinsical quantum resource for quantum metrology. For n-qubit graph state, we propose a simultaneous multiparameter estimation scheme that investigates evolution in SU(N) dynamics. For single-parameter estimation, the precision limit beyond the Heisenberg limit in the higher dimension spin of SU(2). We consider two scenarios where the Hamiltonian operator is commutation and non-commutation respectively and verify that the global estimation precision is higher than the local estimation precision. In the parameter limit condition, the precision of parameter estimation for the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
