Part 1: Simulation of Azobenzene with QSCI скачать в хорошем качестве

Part 1: Simulation of Azobenzene with QSCI

In this video, we’ll explore how to execute the Quantum-Selected Configuration Interaction (QSCI) algorithm using the modules of QURI SDK. The QSCI algorithm is a powerful quantum algorithm designed to estimate the eigenvalues of a Hamiltonian, commonly used in quantum chemistry for molecular systems. You’ll learn how to install the necessary dependencies and understand the advantages of using the QSCI algorithm over alternatives like VQE, particularly in noise resilience and efficiency. What You’ll Learn: A brief introduction to the QSCI algorithm and its applications in quantum chemistry Advantages of QSCI, such as its noise resilience and reduced shot requirements compared to other algorithms Step-by-step guide on installing the QURI SDK dependencies for quantum chemistry computations and circuit execution An in-depth walkthrough of building molecular information, setting up active spaces, and preparing input states for QSCI How to compute ground-state energies for trans-azobenzene and cis-azobenzene molecules Hands-on execution of the QSCI algorithm on both noiseless and noisy quantum devices Performance comparisons between noiseless and noisy QSCI, and a discussion of potential improvements using error mitigation techniques By the end of this video, you’ll have an understanding of how to use the QURI SDK to run quantum chemistry algorithms and simulate molecular systems like azobenzene. Whether you’re just starting with quantum computing or an experienced researcher, this tutorial will provide you with valuable insights into the practical applications of QSCI and QURI SDK. Timestamps: 00:00 - Opening Cover 00:07 - What is QSCI? 02:24 - Install Dependencies 03:18 - The Wrapper Class for Molecule Information 04:13 - Building trans- and cis-Azobenzenes 05:28 - Noiseless Simulation with QSCI 08:15 - Noisy Simulation with QSCI and Summaries 11:17 - End Cover