2023
Symposium for
Quantum AI
The 2023 Symposium for Quantum AI (SQAI) is a conference
for quantum computing and AI researchers, developers, and advocates.
Enter the state of Quantum AI
SQAI is an annual conference for quantum computing and AI technologies. The conference is organized by the Society for Quantum AI (SQAI) and the Taiwan Artificial Intelligence Association (TAIA) in collaboration with the National Taiwan University (NTU) IBM Quantum Hub.
150+
Event Attendees
3+
Organizations
ENTER THE STATE OF QUANTUM
Learn and Share
Quantum AI
The conference consists of invited talks, oral presentations, and some tutorial session led by researchers in the field of quantum computing and AI. The conference will be held in Taipei, Taiwan, in 2023 with online session available.
量子計算應用 & Qiskit 簡介
Introduction to Quantum Computing and Qiskit本場Talk將解釋量子計算的重要性及其潛在應用，介紹Qiskit開源軟件及其主要組件簡要並概述量子計算概念，如量子比特、疊加和糾纏。
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This talk will explain the importance of quantum computing and its potential applications, introduce the Qiskit open source software and its main components briefly, and summarize the concept of quantum computing, such as quantum bits, superposition, and entanglement.量子計算應用 & Qiskit 操作
Quantum Computing Applications & Qiskit Operations本場Talk將介紹量子計算的數學工具，例如 linear algebra、tensor products 和 complex numbers。
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This talk will introduce the mathematical tools of quantum computing, such as linear algebra, tensor products, and complex numbers.量子電路設計實踐
Quantum Circuit Design Practice本場Talk將介紹量子電路設計原理及創建第一個量子電路—加法器和糾纏。
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This talk will introduce the principles of quantum circuit design and create the first quantum circuit - adder and entanglement.手把手建立第一個量子演算法
Hands-on Build Your First Quantum Algorithm本本場Talk將介紹Grover algorithm及其在量子運算中的意義及解釋Grover algorithm背後的關鍵概念。
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This talk will introduce Grover algorithm and its meaning in quantum computing and explain the key concepts behind Grover algorithm.量子計算深度學習挑戰與前景
Quantum Deep Learning Challenges and ProspectsMark 還將分享他在開發量子深度神經網絡以解決經典強化學習問題、量子編程框架、Qiskit 和 Microsoft Azure ML Studio 等領域的經驗。
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Mark will also share his experience in developing quantum deep neural networks to solve classical reinforcement learning problems, quantum programming frameworks, Qiskit and Microsoft Azure ML Studio, etc.How to join IBM Quantum Awards Competitiond || 粘育瑋
1. Motivation : Machine Learning to Quantum Computing.
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2. Contest Topic : Calculate Lattice Ground State.
3. Contest Rule.
4. Contest Result : Ansatz.
5. Conclusion.
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SQAI 2021:
Day 1
The first day of SQAI 2021 was a great success! We had more than 100 online attendees from all the Taiwan. The speakers were from various expertise and backgrounds, and they shared their knowledge on the development of quantum related technologies
SQAI 2021:
Day 2
The first day of SQAI 2021 was a great success! We had more than 100 online attendees from all the Taiwan. The speakers were from various expertise and backgrounds, and they shared their knowledge on the development of quantum related technologies
Register for the conference
Join the fast-growing community of developers and innovators in SQAI 2023