QNLP.proc.HammingDistance.HammingDistanceExpITheta Class Reference

Inheritance diagram for QNLP.proc.HammingDistance.HammingDistanceExpITheta:

Collaboration diagram for QNLP.proc.HammingDistance.HammingDistanceExpITheta:

Public Member Functions
def	__init__ (self, num_bits, simulator)
def	encode_hamming (self, reg_mem, reg_aux, pattern)
def	hamming_aux_overwrite (self, reg_mem, reg_aux)
def	calc (self, reg_mem, reg_aux, pattern)
def	calc (self)

Data Fields
	num_bits
	sim

Private Member Functions
def	_step1 (self, reg_mem, reg_aux, pattern)
def	_step2 (self, reg_mem, reg_aux)
def	_step3 (self, reg_mem, reg_aux)
def	_step4 (self, reg_mem, reg_aux)
def	_step5 (self, reg_aux)

Detailed Description

Default approach taken by Trugenberger, and others to encode
Hamming distance into the state phase. Results can be skewed
by high degeneracy in encoded patterns.

Definition at line 33 of file HammingDistance.py.

Constructor & Destructor Documentation

__init__()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta.__init__	(		self,
			num_bits,
			simulator
	)

Reimplemented from QNLP.proc.HammingDistance.HammingDistance.

Definition at line 39 of file HammingDistance.py.

    def __init__(self, num_bits, simulator):
        super().__init__(num_bits, simulator)

Member Function Documentation

_step1()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta._step1 (   self,   reg_mem,   reg_aux,   pattern  )

private

Definition at line 42 of file HammingDistance.py.

    def _step1(self, reg_mem, reg_aux, pattern):
        self.sim.encodeToRegister(pattern, reg_aux[0:-2], len(reg_mem))

References QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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_step2()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta._step2 (   self,   reg_mem,   reg_aux  )

private

Definition at line 45 of file HammingDistance.py.

    def _step2(self, reg_mem, reg_aux):
        for i in range(len(reg_aux)-2):
            self.sim.applyGateCX(reg_aux[i], reg_mem[i])
            self.sim.applyGateX(reg_mem[i])

References QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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_step3()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta._step3 (   self,   reg_mem,   reg_aux  )

private

Definition at line 50 of file HammingDistance.py.

    def _step3(self, reg_mem, reg_aux):
        theta = np.pi / (2.0 * len(reg_mem))
    
        UMat = self._UMatrix(theta)
        CUMatPowMin2 = self._UMatrixPowMin2(theta)
    
        for j in range(len(reg_mem)):
            self.sim.applyGateU(UMat, reg_mem[j], "U")
        for i in range(len(reg_mem)):
            self.sim.applyGateCU(CUMatPowMin2, reg_aux[-2], reg_mem[i], "U")

References QNLP.proc.HammingDistance.HammingDistance._UMatrix(), QNLP.proc.HammingDistance.HammingDistance._UMatrixPowMin2(), and QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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_step4()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta._step4 (   self,   reg_mem,   reg_aux  )

private

Definition at line 61 of file HammingDistance.py.

    def _step4(self, reg_mem, reg_aux):
        for i in range(len(reg_aux)-2):
            self.sim.applyGateX(reg_mem[i])
            self.sim.applyGateCX(reg_aux[i], reg_mem[i])

References QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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_step5()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta._step5 (   self,   reg_aux  )

private

Definition at line 66 of file HammingDistance.py.

    def _step5(self, reg_aux):
        self.sim.collapseToBasisZ(reg_aux[-2], False)

References QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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calc() [1/2]

def QNLP.proc.HammingDistance.HammingDistance.calc (   self )

inherited

Definition at line 30 of file HammingDistance.py.

    def calc(self):
        pass

calc() [2/2]

def QNLP.proc.HammingDistance.HammingDistanceExpITheta.calc	(		self,
			reg_mem,
			reg_aux,
			pattern
	)

Definition at line 85 of file HammingDistance.py.

    def calc(self, reg_mem, reg_aux, pattern):
        self.encode_hamming(reg_mem, reg_aux, pattern)

References QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming().

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encode_hamming()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming	(		self,
			reg_mem,
			reg_aux,
			pattern
	)

Definition at line 69 of file HammingDistance.py.

    def encode_hamming(self, reg_mem, reg_aux, pattern):
        self.sim.applyGateH(reg_aux[-2])
        self._step1(reg_mem, reg_aux, pattern)
        self._step2(reg_mem, reg_aux)
        self._step3(reg_mem, reg_aux)
        self._step4(reg_mem, reg_aux)
        self.sim.applyGateH(reg_aux[-2])
        self._step5(reg_aux)

References QNLP.proc.HammingDistance.HammingDistanceExpITheta._step1(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step2(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step3(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step4(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step5(), and QNLP.proc.HammingDistance.HammingDistance.sim.

Referenced by QNLP.proc.HammingDistance.HammingDistanceExpITheta.calc().

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hamming_aux_overwrite()

def QNLP.proc.HammingDistance.HammingDistanceExpITheta.hamming_aux_overwrite	(		self,
			reg_mem,
			reg_aux
	)

Definition at line 78 of file HammingDistance.py.

    def hamming_aux_overwrite(self, reg_mem, reg_aux):
        for i in range(len(reg_mem)):
            self.sim.applyGateX(reg_aux[i])
            self.sim.applyGateCCX(reg_mem[i], reg_aux[i], reg_aux[-1])
            self.sim.applyGateX(reg_aux[i])
            self.sim.applyGateCSwap(reg_mem[i], reg_aux[i], reg_aux[-1])

References QNLP.proc.HammingDistance.HammingDistance.sim.

Field Documentation

num_bits

QNLP.proc.HammingDistance.HammingDistance.num_bits

inherited

Definition at line 18 of file HammingDistance.py.

Referenced by QNLP.proc.HammingDistance.HammingDistanceGroupRotate._oracle_angle_map().

sim

QNLP.proc.HammingDistance.HammingDistance.sim

inherited

Definition at line 19 of file HammingDistance.py.

Referenced by QNLP.proc.HammingDistance.HammingDistanceOverwriteAux._encodePattern(), QNLP.proc.HammingDistance.HammingDistanceOverwriteAux._overwriteAux(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step1(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step2(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step3(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step4(), QNLP.proc.HammingDistance.HammingDistanceExpITheta._step5(), QNLP.proc.HammingDistance.HammingDistanceGroupRotate.calc(), QNLP.proc.HammingDistance.HammingDistanceExpITheta.encode_hamming(), and QNLP.proc.HammingDistance.HammingDistanceExpITheta.hamming_aux_overwrite().

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The documentation for this class was generated from the following file:

• /Users/mlxd/Desktop/intel-qnlp-rc2/modules/py/pkgs/QNLP/proc/HammingDistance.py