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Trapped Ion Quantum Computing
Quantum Phase Estimation without Controlled Unitaries
arXiv
Authors: Laura Clinton, Toby S. Cubitt, Raul Garcia-Patron, Ashley Montanaro, Stasja Stanisic, Maarten Stroeks
Year
2024
Paper ID
37549
Status
Preprint
Abstract Read
~2 min
Abstract Words
156
Citations
N/A
Abstract
In this work we demonstrate the use of adapted classical phase retrieval algorithms to perform control-free quantum phase estimation. We eliminate the costly controlled time evolution and Hadamard test commonly required to access the complex time-series needed to reconstruct the spectrum. This significant reduction of the number of coherent controlled-operations lowers the circuit depth and considerably simplifies the implementation of statistical quantum phase estimation in near-term devices. This seemingly impossible task can be achieved by extending the problem that one wishes to solve to one with a larger set of input signals while exploiting natural constraints on the signal and/or the spectrum. We leverage well-established algorithms that are widely used in the context of classical signal processing, demonstrating two complementary methods to do this, vectorial phase retrieval and two-dimensional phase retrieval. We numerically investigate the feasibility of both approaches for estimating the spectrum of the Fermi-Hubbard model and discuss their resilience to inherent statistical noise.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- In this work we demonstrate the use of adapted classical phase retrieval algorithms to perform control-free quantum phase estimation.
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