Pinned Repositories
2023-06-30-hackweek
Attempt at simple openqasm3 frontend (but then looked into control implementations)
catalyst
A JIT compiler for hybrid quantum programs in PennyLane
Enzyme
High-performance automatic differentiation of LLVM and MLIR.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
mlir-hlo
openqasm
Quantum assembly language for extended quantum circuits
pennylane-lightning
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
pymlir
Python interface for MLIR - the Multi-Level Intermediate Representation
standalone-python-plugin-with-catalyst
erick-xanadu's Repositories
erick-xanadu/2023-06-30-hackweek
Attempt at simple openqasm3 frontend (but then looked into control implementations)
erick-xanadu/catalyst
A JIT compiler for hybrid quantum programs in PennyLane
erick-xanadu/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
erick-xanadu/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
erick-xanadu/llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
erick-xanadu/mlir-hlo
erick-xanadu/openqasm
Quantum assembly language for extended quantum circuits
erick-xanadu/pennylane-lightning
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
erick-xanadu/pymlir
Python interface for MLIR - the Multi-Level Intermediate Representation
erick-xanadu/standalone-python-plugin-with-catalyst
erick-xanadu/tensorflow
An Open Source Machine Learning Framework for Everyone