Explanation from the fundamental theory of quantum and classical annealing to cutting-edge topics.
Trikeps Inc. will hold a seminar titled "Introduction to Quantum Annealing: From Basics to Cutting Edge" on March 14, 2023 (Tuesday) via Zoom. In this seminar, we will explain the fundamental theories of quantum and classical annealing, as well as the latest topics, in a way that is as clear and accurate as possible for non-experts. Furthermore, based on scientific evidence and from a fair and neutral standpoint, we will discuss the advantages and disadvantages of quantum annealing compared to classical computers and classical annealing, its issues and limitations, and its positioning as an optimization problem solver. We sincerely look forward to your participation. 【Overview】 ■ Date and Time: March 14, 2023 (Tuesday) 10:00 AM - 5:00 PM ■ Method: Zoom ■ Participation Fee - For individual participants: 51,700 yen (including tax) - For group registration: 62,700 yen (including tax) (up to 3 participants) *For more details, please refer to the PDF document or feel free to contact us.
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Quantum annealing is a method for finding approximate solutions to combinatorial optimization problems by controlling quantum fluctuations. Since the commercialization of superconducting quantum annealing machines by the Canadian venture company D-Wave Systems in 2011, significant advancements have been made in the research and development of quantum annealing machine hardware and its business applications. In contrast, the development of classical annealing machine hardware based on classical physics principles is being pursued by companies such as Hitachi, Fujitsu, Toshiba, and NEC. Additionally, cloud services that allow end users to access various quantum and classical annealing machines are now being offered by companies like Fixstars, AWS, and Microsoft. As a result, quantum annealing is receiving great expectations from the industry as a quantum technology that can be implemented in society more quickly than quantum computers, which require long-term research and development (20 to 30 years). *For more details, please refer to the PDF document or feel free to contact us.*
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