quantum-decomp 1.0.0

Tool for decomposing unitary matrix into quantum gates

Tool for decomposing unitary matrix into quantum gates

This is a Python tool which takes a unitary matrix and returns a quantum circuit implementing it as Q# code or Cirq circuit.

Example

>>> import numpy, quantum_decomp
>>> SWAP = numpy.array([[1,0,0,0],[0,0,1,0],[0,1,0,0], [0,0,0,1]])
>>> print(quantum_decomp.matrix_to_qsharp(SWAP, op_name='Swap'))
operation Swap (qs : Qubit[]) : Unit {
  CNOT(qs[1], qs[0]);
  CNOT(qs[0], qs[1]);
  CNOT(qs[1], qs[0]);
}
>>> print(qd.matrix_to_cirq_circuit(SWAP))
0: ───@───X───@───
      │   │   │
1: ───X───@───X───

See example.ipynb for more examples and instructions how to use this tool.

References

• This tool was inspired by Microsoft Q# Coding Contest and was implemented as part of online course "Applications of Quantum Mechanics" at MIT.

• See this paper for detailed description of the algorithm and further references to papers with algorithms.

• Blog post about the tool.