Jay-Patel-257's Stars
Jay-Patel-257/Qhack-2022
The variational quantum eigensolver (VQE) is generally used for finding the ground state energy of a given hamiltonian. To find the kth excited state energy of the hamiltonian we need to run the VQE optimization process at least k+1 times. Each time we also need to calculate the hamiltonian again, taking into account the state of the previous iteration. Even after that, the accuracy decreases as the value of k increases. The Subspace Search VQE (SSVQE) algorithm is used to find the kth excited-state energy of a hamiltonian in two subsequent optimization processes. Research on a more generalized version of SSVQE, namely Weighted SSVQE, shows that by using the weights as hyperparameters we can find the kth excited-state energy in just a single optimization process. There are two variants of this algorithm: Weighted SSVQE to find kth excited state energy, and weighted SSVQE to find all energies up to the kth excited state.
Agurk2/covidprotease
iQuHack 2022 Project
Jay-Patel-257/quantum-visualizer
This application is meant for the visualization of the various Quantum gates on a qubit. It provides a Simulation of the Qubit transform on the Bloch Sphere via animation. The goal of this project is to add new functionalities to this application.
malay5/voice_assisstant