therooler / pennylane-qllh
Code for implementing the quantum log-likelihood using PennyLane and TensorFlow.
☆11Updated 4 years ago
Related projects: ⓘ
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆37Updated 5 years ago
- ☆18Updated 2 months ago
- Permutational Invariance Quantum Solver for Lindblad open quantum system dynamics☆17Updated 4 months ago
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆27Updated this week
- Scripts and circuits for benchmarking tket☆12Updated 4 years ago
- The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum …☆19Updated 6 months ago
- Quickly process large datasets for quantum machine learning on IBM Quantum hardware by using randomised measurement.☆11Updated 3 years ago
- QHACK: The Quantum Machine Learning Hackathon☆28Updated 4 years ago
- Quantum Circuit Learning☆13Updated 5 years ago
- Library to implement the Variational Quantum Eigensolver (VQE) using hardware-efficient entangled measurements to estimate the energy☆10Updated last year
- Simulating quantum supremacy benchmarking with random unitary sampling.☆17Updated 4 years ago
- Qiskit camp 2019 hackathon: Using QAOA for solving the graph coloring problem☆10Updated 5 years ago
- DEPRECATED - Variational quantum eigensolver built on XACC☆14Updated 5 years ago
- ☆23Updated this week
- Quantum Circuit Optimizer based on SVD operation☆10Updated last year
- A multiprotocol and multiplatform quantum random number generation framework☆24Updated 2 years ago
- ☆35Updated this week
- A performance orientated QGL compiler.☆12Updated 9 months ago
- Quantum Autoencoder Implementation using Forest and OpenFermion☆21Updated 5 years ago
- Optimize QAOA circuits for graph maxcut using tensorflow☆29Updated 5 years ago
- Gradient-descent quantum process tomography by learning Kraus operators☆19Updated 2 years ago
- Arline Benchmarks platform allows to benchmark various algorithms for quantum circuit mapping/compression against each other on a list of…☆31Updated 2 years ago
- Unfolding with quantum computing.☆14Updated 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
- Julia package to perform quantum state and process tomography☆31Updated 3 years ago
- ☆16Updated this week
- qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks☆48Updated 5 years ago
- A Python framework for the quantum autoencoder☆24Updated 5 years ago
- Simple python implementation of Scott Aaronson et al's CHP simulator.☆19Updated 5 years ago
- ☆21Updated 4 years ago