{"library":"ga-vqc","type":"library","category":null,"description":"GA-VQC provides a genetic algorithm to automatically search for optimal variational quantum circuit (VQC) ansätze for quantum machine learning tasks. Version 1.0.14 is the latest; development appears to be active on GitHub.","language":"python","status":"active","version":"1.0.14","tags":["quantum computing","genetic algorithm","VQC","ansatz search","quantum machine learning"],"last_verified":"Sat May 09","install":[{"cmd":"pip install ga-vqc","imports":["from gavqc import GenAlg","from gavqc import VQCAnsatz"]}],"homepage":null,"github":"https://github.com/tcoulvert/GA_Ansatz_Search","docs":null,"changelog":null,"pypi":"https://pypi.org/project/ga-vqc/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}