Arbitrary accuracy iterative quantum phase estimation algorithm using a single ancillary qubit: A two-qubit benchmark
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We discuss the implementation of an iterative quantum phase estimation algorithm with a single ancillary qubit. We suggest using this algorithm as a benchmark for multiqubit implementations. Furthermore, we describe in detail the smallest possible realization, using only two qubits, and exemplify with a superconducting circuit. We discuss the robustness of the algorithm in the presence of gate errors, and show that seven bits of precision is obtainable, even with very limited gate accuracies.
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In the adiabatic regime, the evolved state has support at least 1 - O(1/T) on the ground state.
“This is a so-called adiabatic regime where the evolved state has support at least 1 -O ( 1 T ) on the ground state 292 .”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [292]
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- Authors
- Dobšíček, M., Johansson, G., Shumeiko, V., & Wendin, G.
- Affiliations
- Chalmers University of Technology (SE)
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 2007-09-19
- Volume
- 76
- Issue
- 3
- ISSN
- 0556-2791 (ISSN-L)
- 1050-2947
- 1094-1622
- OpenAlex
- W149097284
- Cited by
- 208
- References
- 33
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 25 · 2023: 46 · 2022: 23 · 2021: 28 · 2020: 14 · 2019: 12 · 2018: 1 · 2017: 3 · 2016: 4 · 2015: 2 · 2014: 1 · 2013: 4 · 2012: 3
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical Review A (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- quantum phase estimation, iterative phase estimation, superconducting circuits, quantum benchmarking
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