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Description:

rbgenerator 0.0.4

Randomized benchmarking for 1-qubit and 2-qubit
Install
pip install rb_generator

Usage
See test.
rb22.get_full_sequence_and_inverse_sequence
rb22 = rb_generator.RB22()

# Open file first
if not rb22.load_from_file('./rb22.dat'):
print('load failed')
exit(0)

# Define the clifford length
clifford_length = 100

# Generate a random sequence (each element in [0, N-1], N is the size of the clifford group)
cliffords = np.random.randint(0, rb22.N, clifford_length)
sequence, inverse_sequence = rb22.get_full_sequence_and_inverse_sequence(cliffords)

print(sequence)
print(inverse_sequence)
# You will obtain the following two outputs

# sequence = [3, 6, 5, 4, 1, 4, 4, 5, 2, 5, 3, 4, 3, 3, 6, 5, 6, 5, 4, 5, 1, 6, 3, 4, 5, 4, 4, 3, 5, 4, 3, 4, 5, 4, 6, 2, 3, 3, 4, 1, 4, 6, 5, 3, 3, 6, 3, 1, 6, 3, 6, 6, 5, 4, 3, 3, 4, 5, 4, 5, 5, 6, 4, 5, 0, 6, 5, 2, 5, 5, 4, 3, 6, 5, 2, 3, 5, 3, 6, 3, 4, 3, 4, 5, 3, 6, 6, 5, 3, 4, 5, 4, 3, 0, 3, 4, 3, 4, 2, 3, 2, 5, 1, 6, 4, 5, 6, 5, 3, 3, 6, 3, 5, 6, 5, 4, 5, 4, 3, 6, 3, 6, 5, 5, 4, 4, 5, 2, 2, 2, 1, 6, 6, 2, 3, 4, 3, 4, 5, 6, 6, 3, 6, 3, 4, 1, 4, 3, 6, 3, 0, 6, 5, 4, 5, 6, 3, 3, 4, 3, 4, 5, 6, 5, 6, 3, 2, 3, 6, 3, 0, 1, 6, 5, 6, 2, 3, 5, 4, 5, 6, 5, 6, 5]

# inverse_sequence = [5, 6]

"sequence" means the operation sequence for generating the RB sequence.
"inverse_sequence" means the operation sequence for inverting the sequence to identity.
rb44.get_full_sequence_and_inverse_sequence
Same as the version of rb22.
For the definition of basic generators
They are generated by C++ enums. Find them in clifford22.h and clifford44.h
enum Generator22Enum : int
{
Generator_I22,
Generator_X,
Generator_Y,
Generator_SX,
Generator_SY,
Generator_SXdag,
Generator_SYdag,
};

enum Generator44Enum : int
{
Generator_I44,
Generator_XI,
Generator_IX,
Generator_YI,
Generator_IY,
Generator_SX_I,
Generator_SXdag_I,
Generator_I_SX,
Generator_I_SXdag,
Generator_SY_I,
Generator_SYdag_I,
Generator_I_SY,
Generator_I_SYdag,
Generator_CZ,
};