Pinned Repositories
catalyst
A JIT compiler for hybrid quantum programs in PennyLane
pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
blackbird
Blackbird is a quantum assembly language for continuous-variable quantum computation, that can be used to program Xanadu's quantum photonics hardware and Strawberry Fields simulator.
Enzyme
High-performance automatic differentiation of LLVM and MLIR.
pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
pennylane-cirq
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
pennylane-forest
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
PennyLane-IonQ
This PennyLane plugin allows IonQ simulators/hardware to be used as PennyLane devices.
pennylane-pq
Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
pennylane-qiskit
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane's quantum machine learning capabilities.
rmoyard's Repositories
rmoyard/blackbird
Blackbird is a quantum assembly language for continuous-variable quantum computation, that can be used to program Xanadu's quantum photonics hardware and Strawberry Fields simulator.
rmoyard/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
rmoyard/pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
rmoyard/pennylane-cirq
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
rmoyard/pennylane-forest
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
rmoyard/PennyLane-IonQ
This PennyLane plugin allows IonQ simulators/hardware to be used as PennyLane devices.
rmoyard/pennylane-pq
Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
rmoyard/pennylane-qiskit
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane's quantum machine learning capabilities.
rmoyard/pennylane-qulacs
The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
rmoyard/pennylane-sf
The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.
rmoyard/qiskit-terra
Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.
rmoyard/strawberryfields
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.