A module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.

Portfolio Optimization on a Quantum computer.

VQE is a promising quantum algorithm, but it presents problems dealing with ions or excited states. For this reason it is possible to modify the algorithm with constrains. In this repo we implemented a practical working version of vqe that is able to perform well even in noisy environments.

[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

Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)

2023 MindSpore 量子计算黑客松全国大赛

VQE results for different molecules by different methods in some platforms

Quantum Computing for Drug Discovery Challenge at ICCAD 2023

Bachleor of Science thesis: Using VQE to study LiH and BeH2 molecules.

The linear method applied to a linear variational quantum eigensolver

Benchmarks of different minimization algorithms and strategies applied to the VQE model, simulations performed with Qibo

This project consists of code for analyzing VQE and virtual gate operations. Credits also to Kentaro Heya. I used his folders initially.

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.