BACKGROUND
In the Noisy Intermediate-Scale Quantum (NISQ) era, we are limited by the number of qubits, coherence time, and gate fidelity. While Quantum Error Correction (QEC) is on its way, we still want to get meaningful results from such noisy quantum devices. It naturally introduces the idea of Error Mitigation (EM), which aims at recovering the ideal measurement statistics instead of the ideal output state in QEC, as a transition stage toward the fault-tolerant regime.
OUR SPEAKER
Zhixin Song is currently a Physics Ph.D. student at Georgia Institute of Technology. He has previously done an internship at Baidu Research, Institute for Quantum Computing, working on Variational Quantum Algorithms (VQAs) and a Quantum Machine Learning toolkit called Paddle Quantum. His current research focuses on experimental quantum simulation, optimal quantum control, and quantum many-body systems.
IN THIS SESSION
You will learn
- Different types of quantum noise
- Error mitigation (EM) methods including Zero Noise Extrapolation (ZNE), Probabilistic Error Cancellation (PEC), and Dynamical Decoupling (DD)
- Error mitigation and Variational Quantum Algorithms
- Connection with classical shadows
- Recent experimental progress
TIME & AGENDA: (Date/time and activities involved)
Jul 16, 2022 (Saturday)
9 PM (U.S. East Coast)
6 PM (U.S. West Coast)
Jul 17, 2022 (Sunday)
9 AM (Beijing Time)
This is a one-hour event including a 45 min presentation followed by a 15 min discussion. The presentation will be held in Mandarin.
JOIN FOR FREE!
You can JOIN THE EVENT via either using the Zoom link below, or join us on our Wechat group we will post a reminder link on the day of the event.
Option 2：
Topic: FinQ Workshop 19: Intro to Superconducting Qubits
Time: Jun 4, 2022 21:00 Eastern Time (US and Canada)
| Join Zoom Meeting https://us02web.zoom.us/j/81590558682?pwd=SXJVWFpUZTA0SkpTRW04YmNOb3owUT09 Meeting ID: 815 9055 8682 Passcode: 163418 One tap mobile +16469313860,,81590558682#,,,,*163418# US +19292056099,,81590558682#,,,,*163418# US (New York) Dial by your location +1 646 931 3860 US +1 929 205 6099 US (New York) +1 301 715 8592 US (Washington DC) +1 312 626 6799 US (Chicago) +1 669 444 9171 US +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Meeting ID: 815 9055 8682 Passcode: 163418 Find your local number: https://us02web.zoom.us/u/keAiPCQEfl |
| When: Saturday 2022-07-16 ⋅ 9pm – 10pm (Eastern Time – New York) |