# 2022 summer school for physics and tensor-network methods in correlated systems --- 細節： 1. 視訊測試 * 找工讀生遠距測試 * 一週前跟國際講者約個十分鐘測試（Lag 延遲 中斷等等） * 直接用說的請他留意時間 * QA 模式：是透過麥克風收音提問還是？ * 是否可以使用麥克風提問？ 1. 方案ㄧ：使用遠距機器 2. 方案二：一台筆電外接麥克風（測試是否會echo） 2. 咖啡點心 * 點心包起來 * 飲料：咖啡，茶。一桶續杯（或是一杯一杯） 3. 午餐：多開一些教室吃飯。 4. 疫情影響，如果有疫情影響，我們會分享視訊連結。 5. --- * 遠端會議硬體問題 1. 連線 2. 遠端視訊的mic 和拉吧回饋問題（問冠翔） 3. 助教費5000 --- * Date: 8/29~8/31 * Organizer: * Yi-Ping Huang * Chia-Min Chung (2023 organizer) * 秘書：Ho, Renee 何婷芬 Office Tel No. +886-3-5742256 * Format: in person * A introduction of the school * Why it is important? * What's the application? * We will have hands on tutorial? (Bring your own laptop!) * 場地： * 物理系620(可以吃便當，目前二樓互動教室暑假後才可啟用。) * Bring your own laptop * cyntax installation guide? * 需幫忙訂便當和水、Coffee、點心 * Housing: * 註冊時說明如需安排住宿請儘早完成註冊程序（問Rene大概需要什麼時候） * 一週前關報名，住宿申請第二週可關掉。 * 如需安排住宿，兩週前要告知。 * 學生：清齋 * 非學生：清華會館 * 其他旅社：要訂出適合的補助，或許不明說但是題有補助 * 網頁 * [參考網頁](https://sites.google.com/phys.ncts.ntu.edu.tw/mlschool) * 要有背景要求 * 第一階段開放大二以上，對基礎量子物理有基本概念之在學學生報名。 * 需要自行攜帶筆電 --- * Confirmed speakers * Kai-Hsin (Yes, 7/15 response?) * Ian (Overview of MPO, Yes) * Pochung (TRG,Yes) * Invited speakers * Kawashima (TRG,?) * Nubert(PEPS, ?) * Wen-Tao Xu(?) * Miles (finite T, ML, ?) * Schedule * 3 lectures +1 tutorial per day * lecture: * International: (1hr 15min) * Kawashima (TRG) * Kai-Hsin (?) * Wen-Tao Xu (Online, Exact construction of PEPS for topological states. Ex: toric code, RVB) * Ian (Overview of tensors) * Miles (finite T, ML) * Subject, start form simple stuff. * All speakes(by subjects): * TRG: * Po-chung * Kawashima (Morning section) * Overview: Ian (Ask: Pochung, 1 hour?) * Yu-Cheng Lin(Maybe something about disorder?) * Ching-Yu Huang(Maybe something related to SPT?) * Yi-Ping(spin liquid? Platforms for correlated physics) * David Lin(LGT tutorial, No) * Kai-Hsin(?) * Finite T/dynamics, Ying-Jer Kao * PEPS: Wen-Tao Xu, https://schuch.univie.ac.at/people/postdocs/ * Exact construction of PEPS for topological states (example: toric code, RVB) * Miles(?, Machine learning/ finite T, quantum computer,...) * Chia-Min (dynamics, cuprates) * Tutorial: * TRG: PC, Kawashima * DMRG: * Finite T/ dynamics: YJ Kao * 問凱辛是否八月底可以參加，給一個下午的tutorial --- ## Todo list 1. NTHU: Classroom to be determined (Ask Rene for further information, about 30 participants？ YP: I will do it next week. 512 25ppl.) 2. Wifi (No problem) 3. We need to have a rough idea soon and then ask Rene to send out the information. (We should also finish it ASAP.) * To achieve that goal: we need to determine ,roughly, 1. How the school looks like. 2. Start inviting speakers. 4. Check if we can install Cytnx in Google Colab. 5. Need a Cytnx documentation for different environment. We will send the documentation to the participants before the summer school and ask them to try to build the system before the event. At the first day, we will try to make sure everyone has a environment. ## Brain storming about the subjects 1. How to make students feel it is a promising direction in the future. * Tensor based method $\to$ entanglement of many-body wave function $\to$ quantum techniques with many-body effects. * Tesnor based representation $\to$ better data structure of machine learning $\to$ decipher the misteries efficiency of machine learning and improve the algorithm. * Fundamental physics: * Explore relative unknown territory of correlated material with strong spin-orbit couplings. * Challenge the understanding of strongly coupled theory such as lattice QCD. * Or the hybrid of these ideas: For example, using quantum computer to simulate toric code ground states; using Rydberg atom quantum simulator to realize quantum spin liquids; using quantum simulator to realize lattice gauge theories and study its real time dynamics; etc. * All these research frontier are waiting for the younger generation to explore! 5. Possible structure of the subjects: * Tensor network: * Quantum: * Fermions: Hubbard model * Bosons: Correlated spin models and quantum spin liquids * Gauge theories: Lattice gauge theories, toric code * Classical: * Strong disorder renormalization group * Classical phase transitions and universality classes * Monte Carlo? 6. Brain storming on the tutorials: * DMRG on chain/leg systems * Tensor representation of toric code * Show the zero length correlation * But the state is highly entangled * 7. Once the subject is established, we need to start inviting speakers. 8. We need to find TAs and ask them whether they can help the school during that time. --- ## Suggested speakers for overview talks: ### Local speakers: 1. Po-Chung Chen 2. Ying-Jer Kao 3. Yu-Cheng Lin ### International speakers 1. Ian 2. Kawashima ## Teaching assistants * Need TAs to setup the environment and debug. (??) * Tao-Lin * 許可（Vtune) * 臨場 * Jobs for TA: * Know how to install Cytnx in Linux, Windows, and Mac. * 問Rene相關問題 * 預計30位學生，要有一些背景、動機要求。 * 報名費要押金（全勤則退回）（住宿會要） * 空間（book理論中心四樓，要搶。物理系二樓的互動教室（）。） --- ### Where? * Now let's welcome the organizer run the show... * 請理論中心秘書問學生住宿。 * --- ### Format *Might be updated in the future. We just pick one aim first, then decide it a little bit later.* * In person * hybrid * virtual --- ### Subject of the school * Physics and numerical methods in correlated systems. (<+vote number+>) * Physics and numerical methods in disorder system. (<+vote number+>) * Physics and numerical methods in machine learning.(<+vote number+>) --- ### Possible plans Talks + hands on tutorial. 1. Will need participants to have their own laptop 2. Maybe we can use Cocalc |day|morning(lectures, 2~3 hours)|afternoon (On machine/invite international speakers, 2~3 hours)| |---|-------|---------| |Mon|General introduction of the tensor idea|On machine (Basics operation for the tensor, constructing the toric code wave function using tensors) | |Tue|Topic?|On machine (Strong disorder RG using tensors)| |Wed|Topic?|On machine (entanglment entorpy calculation)| ＊ 出個難題：挑戰大家的思考，然後給學生挑戰。 --- ### The possible time for next meeting?