Topic: pennylane Goto Github
Some thing interesting about pennylane
Some thing interesting about pennylane
pennylane,Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.
User: abhilash1910
Home Page: https://ep2021.europython.eu/talks/7QW9AdF-introduction-to-quantum-deep-learning/
pennylane,Quantum computing utilities, featuring gate implementations, algorithms. Seamlessly integrates with Qiskit for enhanced quantum development.
User: albertnieto
pennylane,QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
User: alejomonbar
pennylane,A simple Python 3 script for introducing new users to quantum programming in the PennyLane environment. This code was developed as an introductory exercise during the "2023-11-28 Using PennyLane on Pawsey’s Setonix supercomputer" webinar tutorial.
User: andrewmessecar
Home Page: https://pennylane.ai/
pennylane,Repository contains implementations of Quantum Hadamard Product and Generalized Quantum Transpose Algorithms
User: babcockt18
Home Page: https://babcockt18.github.io/On-Nonlinearities-in-QML-Paper-Implementation/
pennylane,Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.
User: bavba
pennylane,Solutions of the QHack 2023 Quantum Coding Challenges
User: billyljm
Home Page: https://qhack.ai/
pennylane,A docker container for quantum machine learning (QML) research
User: boltzmannentropy
pennylane,learning quantum computing
User: dpbm
Home Page: https://dpbm.github.io/quantum/
pennylane,This project aims to use modified layerwise learning on data re-uploading classifier to classify events in HEP. The project won second place at Xanadu's QHack Quantum Machine Learning Open Hackathon 2021.
User: ericardomuten
pennylane,A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
User: ericyoc
Home Page: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.023020
pennylane,Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
User: ericyoc
Home Page: https://doi.org/10.1038/s41598-023-30258-y
pennylane,This is a portion of code related to Joint Mitigation of Quantum Gate and Measurement Errors via the Z-mixed-state Expression of the Pauli Channel.
User: hangmingzhang
pennylane,IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
User: huckiyang
pennylane,Solutions by Quantum Synapse Team(QHack 2023)
User: innanov
pennylane,A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
Organization: ionq-samples
pennylane,Project for McGill Physics Hackathon 2020
User: jeremiegince
pennylane,Quantum Computing Notes | Quantum algorithms and protocols using qiskit | QFT using Pennylane and Cirq | Xanadu CodeBook | Tutorials in Cirq
User: jessicajohnbritto
pennylane,This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).
User: maximer-v
pennylane,Some quantum experiments
User: mickahell
pennylane,Learn Quantum Machine Learning using pennylane framework
User: monitsharma
Home Page: https://monitsharma.github.io/Learn-Quantum-Machine-Learning/
pennylane,This repo contains the online quantum codebooks walkthroughs
User: monitsharma
Home Page: https://monitsharma.github.io/Quantum-Codebooks/
pennylane,List of some personal QML Projects
User: monitsharma
Home Page: https://monitsharma.github.io/Quantum-Machine-Learning-on-Near-Term-Quantum-Devices/
pennylane,An advanced exploration of Quantum Fourier Transform (QFT) using Quantum Machine Learning (QML). This project delves into the optimization of variational quantum circuits, leveraging machine learning techniques to evaluate and visualize the transformation capabilities of QFT in quantum computing.
User: nagarx
pennylane,My solutions to the Quantum Computing Codebooks produced by Xanadu using the python library PennyLane. Including a multivariable example of Grover's algorithm compared to a Linear Search.
User: nathanpaceydev
pennylane,A JIT compiler for hybrid quantum programs in PennyLane
Organization: pennylaneai
Home Page: https://docs.pennylane.ai/projects/catalyst
pennylane,Trainable convolution for quantum-classical hybrid algorithms
Organization: planqk
pennylane,A platform-agnostic quantum runtime framework
Organization: qbraid
Home Page: https://docs.qbraid.com/sdk
pennylane,PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
User: qdevpsi3
pennylane,A quantum reinforcement learning framework based on PyTorch and PennyLane.
User: qlan3
pennylane,Quant'ronauts repository for QHACK21
Organization: quantronauts
pennylane,Classifier for quantum data
Organization: quantronauts
pennylane,Computación Cuántica: De Qubits a Qudits
Organization: quantumcolombiaunal
pennylane,This repository is a collection of projects on Quantum Computing.
User: rahulsust
pennylane,Retrieving momenta from gaussian distribution in PennyLane
Organization: replasma
pennylane,Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
User: ritu-thombre99
pennylane,Creating Variational Quantum Algorithm from scratch to find optimal portfolios
User: rochisha0
pennylane,This repository contains all the theory resources and lab assignments done in the course CSE481 of BracU
User: shababahmedd
pennylane,This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
User: stfnmangini
pennylane,Pour les PME qui utilisent Pennylane pour leur comptabilité et déclarent eux-même leur TVA mensuelle, ce script se connecte à l'API et récupère les encaissements et décaissements du mois choisi. Résultat donné sous forme de tableau pour remplir directement sa déclaration.
User: temuj1n
pennylane,Repository for Xanadu Codebook solutions
User: theharshal30
pennylane,A tutorial on classical to quantum transfer learning by Xanadu AI
User: userr2232
pennylane,Small tutorials from Xanadu AI and CERN lectures
User: userr2232
pennylane,Solutions to the Xanadu Quantum Codebook codercises.
User: xmootoo
pennylane,Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
User: ycchen1989
Home Page: https://www.sycchen.com/
pennylane,Qauntum convolutional neural network in protein distance prediction.
User: zhenhouhong
pennylane,A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
User: zhenhouhong
pennylane,Quantum Deep Learning Algorithms
User: zlaabsi
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