aspuru-guzik-group / QNODE
Quantum dynamics latent neural ode
☆20Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for QNODE
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 2 years ago
- Code for predicting ground states and classifying phases of matter☆28Updated 2 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 2 years ago
- ☆39Updated 5 years ago
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆33Updated 6 years ago
- Hardware-efficient learning of quantum many-body states. Code for simulating a U(1) lattice gauge theory and classifying topological orde…☆12Updated last year
- Reconstructing quantum states with generative models☆49Updated 5 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆57Updated 2 months ago
- Tools for optimizing quantum circuits and for performing rescaling-based error mitigation.☆10Updated 2 years ago
- Riemannian optimization for quantum technologies☆56Updated last year
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆74Updated 5 months ago
- Code accompanying "Large Language Models for Variational Monte Carlo"☆9Updated 11 months ago
- An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applicat…☆75Updated last month
- ☆17Updated 5 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.☆11Updated 3 months ago
- A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks☆13Updated 7 months ago
- Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.☆20Updated last year
- Computational graph states for variational monte carlo☆15Updated 5 years ago
- 290 seminar for 2020 fall - 2021 summer☆24Updated this week
- ☆16Updated 3 years ago
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆33Updated last year
- GRAPE with autograd on the TDSE and LME in Python☆11Updated 7 months ago
- Open collaboration of the Quantum Bootcamp 2020☆34Updated 4 years ago
- Machine Learning Renormalization Group☆18Updated last year
- Matrix Product States on NISQ quantum computers☆28Updated 3 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆24Updated 6 years ago
- Reproduce the random circuit sampling experiments of Sycamore quantum circuit☆31Updated 3 years ago
- ☆40Updated last month
- A machine learning algorithm for topological quantum compiling☆30Updated 4 years ago