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Quantum Software and Libraries
Google Cirg
Google Cirg
Google Cirg
Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results.
IBM Qiskit
Google Cirg
Google Cirg
Qiskit [quiss-kit] is an open-source SDK for working with quantum computers at the level of pulses, circuits, and application modules.
PENNYLANE
Google Cirg
PENNYLANE
PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms.
Quantum Demos
Building Simulated Qubit Circuit
Building Simulated Qubit Circuit
Building Simulated Qubit Circuit
Models and examples of building your first quantum circuit using QisKit
Building Quantum H Gate
Building Simulated Qubit Circuit
Building Simulated Qubit Circuit
Learn how to build gateways on Quantum Circuits
Building QCNN on a Live QC
Building Simulated Qubit Circuit
Building QCNN on a Live QC
Quantum Convolutional Neural Networks running on IBM's Quantum Computers using QisKit
Actual predictions from above QCNN Model
After completing the Convolutional Neural Network (CNN) on a Quantum Computer we can see the successful predictions of classes.
