Experimental Demonstration of Self-Guided Quantum Tomography
Open accessAbstract
Traditional methods of quantum state characterization are impractical for systems of more than a few qubits due to exponentially expensive postprocessing and data storage and lack robustness against errors and noise. Here, we experimentally demonstrate self-guided quantum tomography performed on polarization photonic qubits. The quantum state is iteratively learned by optimizing a projection measurement without any data storage or postprocessing. We experimentally demonstrate robustness against statistical noise and measurement errors on single-qubit and entangled two-qubit states.
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The method offers the same computational advantage as self-guided tomography, but without the need for complex reconfigurable measurements that previously restricted this approach to only pure states.
“Importantly, our method offers the same computational advantage as self-guided tomography, but without a need for complex reconfigurable measurements which so far restricted this approach to only pure states.18”
From Scalable on-chip quantum state tomography (2018) · cites this paper as [18]
The paper says SGQT avoids computationally expensive postprocessing and optimizes projection measurements, including entangling measurements for the original algorithm. It also says its implementation estimates the pure state with greatest overlap and leaves demonstration on arbitrary mixed states to future work. It does not say that the need for complex reconfigurable measurements is what restricted SGQT to pure states. (LLM, conf=0.84)
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- Authors
- Chapman, R. J., Ferrie, C., & Peruzzo, A.
- Affiliations
- The University of Sydney (AU)
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2016-07-21
- Volume
- 117
- Issue
- 4
- Pages
- 040402-040402
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2268084203
- Cited by
- 69
- References
- 30
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 7 · 2021: 12 · 2020: 7 · 2019: 6 · 2018: 8 · 2017: 6 · 2016: 1
- FWCI
- 5.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- arXiv (Cornell University)
- Bulletin of the American Physical Society
- Funders
- Army Research Office (W911NF-14-1-0098, W911NF-14-1-0103)
- Australian Research Council (CE11001013, DE140101700)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- quantum state characterization, single-qubit states, measurement error, statistical noise
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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