Variational Quantum Eigensolver with Fewer Qubits
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Updated
Sep 1, 2019 - Julia
Variational Quantum Eigensolver with Fewer Qubits
This project consists of code for analyzing VQE and virtual gate operations. Credits also to Kentaro Heya. I used his folders initially.
Application of VQE algorithm to find the ground energy of a given hamiltonian matrix H with a specifc ansatz and decomposition.
A repository containing my solution to the screening tasks for the second cohort of Quantum Open Source Foundation Mentorship program.
Creating Variational Quantum Algorithm from scratch to find optimal portfolios
I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.
Tutorial on Variational Quantum Eigensolver (VQE). Originally created for QOSF Mentorship Screening Task Submission (Task 4, batch 2020).
Hybrid Quantum Classical algorithm to variationally determine the ground state energy of a Hamiltonian.
Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.
Benchmarks of different minimization algorithms and strategies applied to the VQE model, simulations performed with Qibo
The linear method applied to a linear variational quantum eigensolver
QAOA is one of the flavors of VQA, and it is considered to assert so-called "Quantum Supremacy". I have implemented a Quantum circuit to solve Max-Cut problem. I have written a report of my work.
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.
Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
Portfolio Optimization on a Quantum computer.
Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe
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