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Encoding classical data on quantum states is an important subroutine in variational quantum circuits, such as Quantum Singular Vector Machine (QSVM) and Quantum Neural Networks (QNN).

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Encode in angle

This function encodes nn data points on nn qubits, mapping the data point xix_i to a RY rotation on the ii-th qubit with a πxi\pi x_i angle. Function: encode_in_angle Arguments:
  • data: CArray[Creal]
  • qba: Output[QArray[QBit]]
The qba quantum argument is the quantum state on which we encode the classical array data.

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Example

from classiq import *


@qfunc
def main(data: CArray[CReal, 4], x: Output[QArray[QBit]]):
    encode_in_angle(data, x)


qmod = create_model(main)


from classiq import synthesize

qprog = synthesize(qmod)
png

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Encode on Bloch

This function encodes nn data points on ⌈n/2⌉\lceil n/2 \rceil, mapping pairs of data points (x2i,x2i+1)(x_{2i}, x_{2i+1}) to the bloch sphere via RX rotation with an angle πx2i\pi x_{2i} followed by a RZ rotation with an angle πx2i+1\pi x_{2i+1}. If the number of data points is odd then a single RX rotation is applied to the last qubit, with an angle of 2πxn2\pi x_n. Function: encode_on_bloch Arguments:
  • data: CArray[Creal]
  • qba: Output[QArray[QBit]]
The qba quantum argument is the quantum state on which we encode the classical array data.

​
Example

from classiq import *


@qfunc
def main(data: CArray[CReal, 7], x: Output[QArray[QBit]]):
    encode_on_bloch(data, x)


qmod = create_model(main)


from classiq import synthesize

qprog = synthesize(qmod)
png