This repo is prepared to reproduce results of the VQE calculation in https://arxiv.org/pdf/2104.10220.pdf
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Updated
Jun 12, 2023 - Jupyter Notebook
This repo is prepared to reproduce results of the VQE calculation in https://arxiv.org/pdf/2104.10220.pdf
quantum VQE(Variational Quantum Eigensolver) algorithm implemented by qiskit with some examples💿
This project consists of code for analyzing VQE and virtual gate operations. Credits also to Kentaro Heya. I used his folders initially.
Exercise notebooks for COFI winter school on QML
My and Mayra Sanchez's project for the Fall 2022 Qiskit Hackathon at UT Austin
Ground State Energy of BeH2 at different bond lengths using VQE
Project to find estimates for the ground state of the Triton Toy Model as defined by Roggero et al. 2019 (arXiv:1911.06368) using Variational Quantum Eigensolver and Quantum Phase Estimation methods. Coursework for Applied Quantum Algorithms course (Physics MSc level, Leiden University, 2020). Received grade: 10/10.
This code was created as part of a bachelor's thesis in the field of mathematics. It extends the BOIS for VQE algorithm by introducing "immediate sharing" and enabling sharing between geometries whose Hamiltonians are extended in differing sets of Pauli strings.
VQE for H2 Simulation using Clifford Ansatz
The linear method applied to a linear variational quantum eigensolver
Bachleor of Science thesis: Using VQE to study LiH and BeH2 molecules.
A repository containing my solution to the screening tasks for the second cohort of Quantum Open Source Foundation Mentorship program.
Hybrid Quantum Classical algorithm to variationally determine the ground state energy of a Hamiltonian.
Application of VQE algorithm to find the ground energy of a given hamiltonian matrix H with a specifc ansatz and decomposition.
Benchmarks of different minimization algorithms and strategies applied to the VQE model, simulations performed with Qibo
Quantum Computing for Drug Discovery Challenge at ICCAD 2023
[QCE 2023]"QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits" Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z Pan, Frederic T Chong, Song Han, Zhangyang Wang
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