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Trapped Ion Quantum Computing
Quantum Simulation
Boosting projective methods for quantum process and detector tomography
arXiv
Authors: Júlia Barberà-Rodríguez, Leonardo Zambrano, Antonio Acín, Donato Farina
Year
2024
Paper ID
66436
Status
Preprint
Abstract Read
~2 min
Abstract Words
122
Citations
N/A
Abstract
We introduce two methods for quantum process and detector tomography. In the quantum process tomography method, we develop an analytical procedure for projecting the linear inversion estimation of a quantum channel onto the set of completely positive trace-preserving matrices. By integrating this method with alternate projection techniques, we achieve a three-order-of-magnitude improvement in approximating the closest quantum channel to an arbitrary Hermitian matrix compared to existing methods without compromising computational efficiency. Our second method extends this approach to quantum detector tomography, demonstrating superior efficiency compared to current techniques. Through numerical simulations, we evaluate our protocols across channels of up to four qubits in quantum process tomography and systems of up to six qubits in quantum detector tomography, showcasing superior precision and efficiency.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- We introduce two methods for quantum process and detector tomography.
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