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Explore our expertly crafted research demos, all based on published papers, bringing cutting-edge studies to life. See how researchers are using PennyLane!
A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery
Unitary synthesis with recursive KAK decompositions
Supervised and unsupervised quantum machine learning models for the phase detection of the ANNNI spin model
Fast optimization of instantaneous quantum polynomial circuits
How to use Catalyst with Lightning-GPU
Introducing tensor networks for quantum practitioners
How to build spin Hamiltonians
Multidimensional regression with a variational quantum circuit
How to optimize a QML model using Catalyst and quantum just-in-time (QJIT) compilation
How to quantum just-in-time compile VQE with Catalyst
Gate calibration with reinforcement learning
Supervised and Unsupervised Quantum Machine Learning Models for the Phase Detection of the ANNNI Spin Model
Post-variational quantum neural networks
Generative quantum eigensolver (GQE) training using PennyLane data
How to build compressed double-factorized Hamiltonians
How to implement VQD with PennyLane
Quantum just-in-time compiling Shor’s algorithm with Catalyst
How to quantum just-in-time (QJIT) compile Grover’s algorithm with Catalyst
Using the BlueQubit (CPU) device with PennyLane
Solving systems of linear equations via HHL using Qrisp and Catalyst
Evaluating analytic gradients of pulse programs on quantum computers
Optimal control for gate compilation
Is quantum computing useful before fault tolerance?
Period finding: A problem at the heart of quantum computing
How to import noise models from Qiskit