{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/robustness-of-quantum-enhanced-adaptive-phase","title":"Robustness of Quantum-Enhanced Adaptive Phase Estimation","arxiv_id":"1809.05525","date":"2018-09-14","proceeding":null,"authors":["Pantita Palittapongarnpim","Barry C. Sanders"],"abstract":"As all physical adaptive quantum-enhanced metrology schemes operate under\nnoisy conditions with only partially understood noise characteristics, so a\npractical control policy must be robust even for unknown noise. We aim to\ndevise a test to evaluate the robustness of AQEM policies and assess the\nresource used by the policies. The robustness test is performed on QEAPE by\nsimulating the scheme under four phase-noise models corresponding to\nnormal-distribution noise, random-telegraph noise, skew-normal-distribution\nnoise, and log-normal-distribution noise. Control policies are devised either\nby an evolutionary algorithm under the same noisy conditions, albeit ignorant\nof its properties, or a Bayesian-based feedback method that assumes no noise.\nOur robustness test and resource comparison method can be used to determining\nthe efficacy and selecting a suitable policy.","url_abs":"http://arxiv.org/abs/1809.05525v2","url_pdf":"http://arxiv.org/pdf/1809.05525v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"robustness-of-quantum-enhanced-adaptive-phase","repo_url":"https://github.com/PanPalitta/phase_estimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}