frankschae / A-differentiable-programming-method-for-quantum-controlLinks
☆31Updated 5 years ago
Alternatives and similar repositories for A-differentiable-programming-method-for-quantum-control
Users that are interested in A-differentiable-programming-method-for-quantum-control are comparing it to the libraries listed below
Sorting:
- Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks☆20Updated 9 months ago
- Bayesian tensor network☆21Updated 5 years ago
- Differentiable simulation of superconducting quantum processors.☆25Updated last week
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆23Updated 2 years ago
- Riemannian optimization for quantum technologies☆60Updated 2 years ago
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 6 years ago
- A Julia package for solving quantum optimal control problems using direct trajectory optimization.☆35Updated last month
- Code for predicting ground states and classifying phases of matter☆32Updated 2 years ago
- ☆24Updated 2 years ago
- ☆25Updated 4 years ago
- Tensor-network based package for efficient quantum metrology computations.☆12Updated 3 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆11Updated 3 years ago
- Julia library for quantum circuit simulation using tensor networks☆16Updated 5 years ago
- ☆14Updated 3 months ago
- A package for quantum estimation.☆17Updated 3 years ago
- Tropical tensor network for spin glasses☆55Updated 6 months ago
- Juqbox.jl solves quantum optimal control problems in closed quantum systems☆44Updated 8 months ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆19Updated 2 years ago
- Gradient-descent quantum process tomography by learning Kraus operators☆23Updated 2 years ago
- A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…☆24Updated 3 years ago
- Julia package to perform quantum state and process tomography☆33Updated last month
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 3 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.☆20Updated last week
- Differential Programming and Natural Evolutationary Strategies optimization algorithms for transport Majorana Zero Modes.☆13Updated 4 years ago
- Differentiable Tensor Renormalization Group for square Ising☆17Updated 6 years ago
- Continuous Matrix Product States in Julia☆29Updated 3 months ago
- Self-explaining Matrix Product States library in Python☆20Updated last year
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆35Updated 4 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago