Calibration and high fidelity measurement of a quantum photonic chip
Open accessAbstract
Integrated quantum photonic circuits are becoming increasingly complex. Accurate calibration of device parameters and detailed characterization of the prepared quantum states are critically important for future progress. Here we report on an effective experimental calibration method based on Bayesian updating and Markov chain Monte Carlo integration. We use this calibration technique to characterize a two qubit chip and extract the reflectivities of its directional couplers. An average quantum state tomography fidelity of 93.79 ± 1.05% against the four Bell states is achieved. Furthermore, comparing the measured density matrices against a model using the non-ideal device parameters derived from the calibration we achieve an average fidelity of 97.57 ± 0.96%. This pinpoints non-ideality of chip parameters as a major factor in the decrease of Bell state fidelity. We also perform quantum state tomography for Bell states while continuously varying photon distinguishability and find excellent agreement with theory.
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The unheralded (post-selected) CNOT gate is a two-photon scheme that requires detection of the two photonic qubits in a computational state to signal success with probability p = 1/9 [35-37].
“The unheralded (or post-selected) CNOT gate shown in Fig. 2(h) is a two-photon scheme that requires the detection of the two photonic qubits in a computational state to signal the success of the gate with probability p = 1 / 9 [35-37].”
From Universal linear optics (2015) · cites this paper as [36]
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Self-citation
- Authors
- Li, H. W., Wabnig, J., Bitauld, D., Shadbolt, P., Politi, A., Laing, A., O'Brien, J. L., & Niskanen, A. O.
- Affiliations
- Nokia (United Kingdom) (GB)
- University of Bristol (GB)
- University of California, Santa Barbara (US)
- Corresponding author
- Niskanen, A O
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2013-06-14
- Volume
- 15
- Issue
- 6
- Pages
- 063017
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2029785549
- Cited by
- 11
- References
- 23
- Citations by year
- 2026: 1 · 2024: 1 · 2021: 1 · 2020: 1 · 2017: 1 · 2016: 1 · 2015: 4 · 2014: 1
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- New Journal of Physics (publishedVersion, cc-by)
- Explore Bristol Research (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Engineering and Physical Sciences Research Council (EP/J017175/1, EP/K021931/1)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Photonic and Optical Devices
- Keywords
- Bayesian parameter estimation, Markov chain Monte Carlo, Bell state fidelity, quantum state tomography, photon distinguishability
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