R8monaW / DeepQNN
Implementations for training deep quantum neural networks in Mathematica and MATLAB.
☆24Updated 5 years ago
Alternatives and similar repositories for DeepQNN:
Users that are interested in DeepQNN are comparing it to the libraries listed below
- A Python framework for the quantum autoencoder☆25Updated 6 years ago
- Quantum Autoencoder Implementation using Forest and OpenFermion☆21Updated 6 years ago
- gradient based training of Quantum Circuit Born Machine☆43Updated 5 years ago
- This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …☆47Updated 4 years ago
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆37Updated 5 years ago
- A Python toolkit for quantum neural networks.☆40Updated 5 years ago
- Code that was used to generate the results for the publication 'Implementing a distance-based classifier with a quantum interference circ…☆15Updated 6 years ago
- ☆23Updated 2 years ago
- ☆29Updated 6 years ago
- This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal …☆22Updated 5 years ago
- Meta-VQE data and examples repository☆9Updated 4 years ago
- Quantum Circuit Learning☆14Updated 6 years ago
- The project codes associated with quantum Wasserstein GAN☆51Updated 4 years ago
- Anomaly detection on a quantum computer using Qiskit☆24Updated 3 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆59Updated 6 months ago
- Decoders for fault tolerant quantum computation via deepQ reinforcement learning☆46Updated 2 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Unfolding with quantum computing.☆15Updated 2 years ago
- Library to implement the Variational Quantum Eigensolver (VQE) using hardware-efficient entangled measurements to estimate the energy☆10Updated last year
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 2 years ago
- variational quantum circuit simulator in Julia, under GPLv3☆32Updated 5 years ago
- Riemannian optimization for quantum technologies☆56Updated last year
- Code for the paper "Tensor Networks for Maching Learning"☆17Updated 5 years ago
- Simulating quantum supremacy benchmarking with random unitary sampling.☆17Updated 5 years ago
- Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…☆28Updated 5 months ago
- An example of a variational quantum classifier implemented with qiskit using only elementary gates.☆28Updated 4 years ago
- ☆39Updated 5 years ago
- ☆28Updated 4 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago
- A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…☆25Updated 3 years ago