XanaduAI / expressive_power_of_quantum_modelsLinks
This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of data encoding on the expressive power of variational quantum machine learning models" by Maria Schuld, Ryan Sweke and Johannes Jakob Meyer.
☆49Updated 5 years ago
Alternatives and similar repositories for expressive_power_of_quantum_models
Users that are interested in expressive_power_of_quantum_models are comparing it to the libraries listed below
Sorting:
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆34Updated 2 weeks ago
- gradient based training of Quantum Circuit Born Machine☆44Updated 6 years ago
- A Python framework for the quantum autoencoder☆27Updated 6 years ago
- Code for implementing and experimenting with quantum algorithms☆74Updated last year
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆80Updated last year
- This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.☆45Updated 3 months ago
- A differentiable bridge between phase space and Fock space☆90Updated last week
- An example of a variational quantum classifier implemented with qiskit using only elementary gates.☆28Updated 5 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆59Updated 2 months ago
- A Python toolkit for quantum neural networks.☆40Updated 6 years ago
- A Python framework for the variational quantum classifier☆30Updated 6 years ago
- quantum convolutional neural network - simulations☆110Updated 5 years ago
- ☆11Updated 3 years ago
- The project codes associated with quantum Wasserstein GAN☆53Updated 5 years ago
- ☆31Updated last year
- This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparatio…☆116Updated 6 years ago
- Decoders for fault tolerant quantum computation via deepQ reinforcement learning☆47Updated 2 years ago
- Library to implement the Variational Quantum Eigensolver (VQE) using hardware-efficient entangled measurements to estimate the energy☆10Updated 2 years ago
- Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…☆29Updated 11 months ago
- Unfolding with quantum computing.☆15Updated 3 years ago
- MNISQ circuit dataset for machine learning and quantum machine learning☆30Updated last year
- The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.☆59Updated 2 weeks ago
- Quantum Autoencoder Implementation using Forest and OpenFermion☆21Updated 6 years ago
- ORCA's QUBO solver running on a simulated PT-Series☆14Updated 3 years ago
- The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine l…☆41Updated 3 months ago
- A Quantum circuit simulator based on Restricted Boltzmann Machines.☆24Updated 3 years ago
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆39Updated 6 years ago
- Search with Quantum Singular Value Transformation in Qiskit☆52Updated 3 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 3 years ago
- Contains material for the PennyLane tutorial at CERN on 3/4 February 2021.☆48Updated 4 years ago