therooler / pennylane-qllh
Code for implementing the quantum log-likelihood using PennyLane and TensorFlow.
☆11Updated 5 years ago
Alternatives and similar repositories for pennylane-qllh:
Users that are interested in pennylane-qllh are comparing it to the libraries listed below
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆37Updated 5 years ago
- Quantum Circuit Learning☆14Updated 6 years ago
- Qiskit camp 2019 hackathon: Using QAOA for solving the graph coloring problem☆10Updated 5 years ago
- Permutational Invariance Quantum Solver for Lindblad open quantum system dynamics☆19Updated 10 months ago
- Quickly process large datasets for quantum machine learning on IBM Quantum hardware by using randomised measurement.☆12Updated 3 years ago
- ☆24Updated 8 months ago
- qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks☆48Updated 6 years ago
- DEPRECATED - Variational quantum eigensolver built on XACC☆14Updated 5 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 2 years ago
- Unitary and Lindbladian evolution in Julia☆27Updated 2 years ago
- ☆39Updated 5 years ago
- Automated discovery of superconducting circuits☆26Updated 5 years ago
- Scripts and circuits for benchmarking tket☆14Updated 4 years ago
- ☆44Updated last year
- QHACK: The Quantum Machine Learning Hackathon☆28Updated 5 years ago
- Unfolding with quantum computing.☆15Updated 2 years ago
- Optimize QAOA circuits for graph maxcut using tensorflow☆30Updated 6 years ago
- We present quantumnetworks as a numerical simulation tool with which to explore the time-dynamics of a driven, lossness, and nonlinear mu…☆13Updated 3 years ago
- The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum …☆20Updated last month
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆31Updated last week
- Quantum Machine Learning algorithms☆14Updated 11 months 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 last month
- A multiprotocol and multiplatform quantum random number generation framework☆27Updated 3 years ago
- ☆22Updated 4 years ago
- Simple python implementation of Scott Aaronson et al's CHP simulator.☆19Updated 5 years ago
- A performance orientated QGL compiler.☆13Updated last year
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- Simulating quantum supremacy benchmarking with random unitary sampling.☆17Updated 5 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago