{"url":"/method/gcans","slug":"gcans","name":"gCANS","full_name":"Global Coupled Adaptive Number of Shots","full_name_withheld":false,"description_markdown":"**gCANS**, or **Global Coupled Adaptive Number of Shots**, is a variational quantum algorithm for stochastic gradient descent. It adaptively allocates shots for the measurement of each gradient component at each iteration. The optimizer uses a criterion for allocating shots that incorporates information about the overall scale of the shot cost for the iteration.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2108.10434v1","title":"Adaptive shot allocation for fast convergence in variational quantum algorithms","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Quantum Methods","url":"/methods/category/quantum-methods","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/geometric-clifford-algebra-networks","title":"Geometric Clifford Algebra Networks","date":"2023-02-13","arxiv_id":"2302.06594","n_code_links":2,"syntology":null},{"paper":null,"title":"Adaptive shot allocation for fast convergence in variational quantum algorithms","date":"2021-08-23","arxiv_id":"2108.10434","n_code_links":0,"syntology":null}],"papers_shown":2,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[{"year":"2021","papers":1},{"year":"2023","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/gcans"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}