BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:African International Conference on Quantum Computing and Simulati on DTSTART;VALUE=DATE-TIME:20260213T090000Z DTEND;VALUE=DATE-TIME:20260220T140000Z DTSTAMP;VALUE=DATE-TIME:20260908T023500Z UID:indico-event-50@kems.knust.edu.gh CONTACT:mathcphy@gmail.com\;+233 54 928 9655 DESCRIPTION:Theme: Quantum for Impact: Fostering  Education\, Research\, and Collaboration towards SDG’sFollowing the E-Learning African Internat ional School on Quantum Science and Technology (ELAIS-QST 2024)\, the Afri can International Conference on Quantum Algorithms for Simulation will gather leading experts\, scientists\, researchers and students from a cross Africa in different fields such as materials science\, physics\, che mistry\, engineering and others to explore cutting-edge quantum algorithms and their applications in simulating complex systems. This 7-day event wi ll feature a rich program of opening ceremony\, keynote presentations\, ro undtable discussions\, interactive workshop series with lectures\, tutoria ls or hands-on\, outreach to senior high schools in Kumasi\, and poster se ssions\, each designed to delve into various aspects of classical-quantum algorithms of complex systems.The key focus of the conference will be to e xplore the understanding of development and refinement made in: 1. classi cal algorithms and computation such as machine learning\, tensor network r epresentations or mapping random circuits to statistical mechanics models and others for quantum many-body in quantum materials and quantum chemistr y. 2. quantum algorithms\, such as adaptive and control variational quant um eigenvalue solvers algorithms\, quantum machine learning algorithms\, q uantum approximate optimization algorithms and others which offer new poss ibilities for simulating materials. 3. policy direction such as national plan\, centres\, and others for building a national quantum ecosystem to f ind solutions for local and global issuesTopic: Classical - Quantum Algori thms\, (Quantum) Machine Learning\, Quantum Simulation and Quantum Computi ng.Audience:Students - a) Undergraduates b) Graduates from Bachelors c) Na tional Service Personnel d) Master Students with Related Courses and Poten tial Thesis Topic in the Area e) PhD candidate of related fieldProfessiona l - a) Faculty members b) Scientists c) Industrialist d) Policy Makers - G overnmental workersExpected Background: Physics\, Mathematics\, Computer S cience\, Chemistry\, Pharmaceutical Sciences\, Engineering and others with related background\n\nhttps://kems.knust.edu.gh/event/50/ LOCATION:College of Science and Impact Building (MasterCard Foundation) KN UST) URL:https://kems.knust.edu.gh/event/50/ END:VEVENT END:VCALENDAR