Quantum Machine Learning with Jetson Nano

alberto.varignana · October 8, 2021, 3:15pm

Hello

I would share my project concerning #Quantum #MachineLearning solution.

Neural Network training on Jetson Nano to recognize 0 and 1 digit images with MNIST dataset and 1 #QuBit hidden layer running on IBM

Python code

github.com

AlbertoVari/SolidQML/blob/main/hybridQ1.py

import numpy as np
import matplotlib.pyplot as plt

import torch
from torch.autograd import Function
from torchvision import datasets, transforms
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F

import qiskit
from qiskit import transpile, assemble
from qiskit.visualization import *

from qiskit import QuantumCircuit, execute, Aer, IBMQ, QuantumRegister, ClassicalRegister
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from numpy import pi
import json

This file has been truncated. show original

TomNVIDIA · October 8, 2021, 4:13pm

Hi,

Thanks for sharing. I am going to tag this post with “Nano” for better visibility.

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Quantum Machine Learning with Jetson Nano

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