42 skills found · Page 1 of 2
qulacs / QulacsVariational Quantum Circuit Simulator for Quantum Computation Research
XanaduAI / QMLTThe Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).
Hrishikesh332 / Quantum Machine LearningQuantum Machine Learning is Quantum Computing + Machine Learning 🧠. There are various benefits associated with using QML: It helps to speed up the training process, working on high dimensional data is possible and more 📊.
ycchen1989 / Var QuantumCircuits DeepRLVariational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
IvLabs / Quantum Machine LearningThis repository contains implementations of Quantum Machine Learning algorithms, feature maps, variational circuits and research papers.
givgramacho / CERN Quantum Computing CourseQuantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor..). We will also cover some of the most recent applications of quantum computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (for instance, through the use of quantum support vector machines and quantum variational classifiers). We will also give examples of how these techniques can be used in chemistry simulations and high energy physics problems. The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either.
wangleiphy / BetaVQE.jlSolving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
GlazeDonuts / Variational Quantum ClassifierA comparative study between feature maps coupled with a standard Variational Quantum Circuit.
supremacyfuture / VQCvariational quantum circuit simulator in Julia, under GPLv3
lockwo / Rl Qvc OptCode for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
guochu / VQC.jlvariational quantum circuit
ermongroup / SPN Variational InferencePyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
idnm / CpflowVariational quantum circuit synthesis
walid-mk / VQEI Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.
matibilkis / QvansA semi-agnostic ansatz with variable structure for variational quantum algorithms. Published in Quantum Machine Intelligence (2023). Optimizes both circuit structure and parameters for VQE, quantum chemistry, and more.
XanaduAI / Derivatives Of Variational CircuitsNo description available
ericyoc / Quantum Circuits PocQuantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
Muzhou-Ma / LOCC VQEThis is the Python-based repository for Variational LOCC-assisted quantum circuits for long-range entangled states.
PatrickHuembeli / Vqc Loss LandscapesCharacterizing the loss landscape of variational quantum circuits
teaguetomesh / Dqva And Circuit CuttingCombining quantum circuit cutting techniques with quantum variational optimization to solve large instances of Maximum Independent Set on NISQ processors.
