Rajat Kumar Vishwakarma (rajat709)

rajat709

Geek Repo

Company:QuantumOpenAI

Location:In Hilbert Space

Home Page:https://quantumai.dataoorts.com/

Twitter:@RJvishwa709

Github PK Tool:Github PK Tool

Rajat Kumar Vishwakarma's repositories

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2022_qutech_challenge

MIT iQuHACK 2022 x QuTech Challenge

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code-live

Jupyter Lite

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Diabetes_Predictor

Diabetes Predictor

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ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

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Llama2-7b-Medical-Model

Fine Tuned Meta Llama2 7b Model Curated for Medical Purpose, https://huggingface.co/rjvishwa/Llama-2-7b-Med-Model/tree/main

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QHack

QHack—The one-of-a-kind quantum computing hackathon

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qiskit-application-modules-demo-sessions

Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):

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qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

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qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

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Quantum-Simulation

Today Quantum Computers have a wide range of applications, one of the prominent is quantum simulation. Simulations are used for many industrial and research purposes. Here we understand how can we simulate three atoms heisenberg model interaction on three qubits using real NISQ(Noisy Intermediate-Scale Quantum Computing) device ‘ibmq_jakarta’ first we perform simulation by classical method after that we will go on quantum approach,for 3 qubit simulation its represented by 8×8 matrix. This is because there are 23 = 8 states in the N =3(N represents number of qubits used) system, if the simulation were 50 particles(N=50) then it would be approx 1015×1015! Well beyond the capacity of today's classical computers, but for quantum computers this task will require only 15 qubits.

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