// DETERMINANT
// first row expansion
public IComplexNumber Determinant(IComplexMatrix matrix)
{
if (matrix.IsScalar())
{
return matrix.getElement(0, 0);
}
if (matrix.IsSquare())
{
IComplexNumber result = ComplexNumberFactory.GenerateZero();
//IComplexNumber negative = ComplexNumberFactory.Operations.SignReversal(ComplexNumberFactory.generateIdentity());
IComplexMatrix tempMatrix;
IComplexNumber tempDeterminant;
//IComplexNumber tempCoefficient;
int count = matrix.getNumCols();
for (int pos = 0; pos < count; pos++)
{
tempMatrix = ComplexMatrixFactory.Operations.RemoveRowCol(matrix, 0, pos);
tempDeterminant = ComplexMatrixFactory.Operations.Determinant(tempMatrix);
//tempCoefficient = ComplexNumberFactory.Operations.Power(negative, pos);
if (pos % 2 == 0)
{ result = ComplexNumberFactory.Operations.Add(result, tempDeterminant); }
else
{ result = ComplexNumberFactory.Operations.Substract(result, tempDeterminant); }
}
return result;
}
throw new ExceptionMatrixDimension();
}
// CONJUGATE
public IComplexMatrix Conjugate(IComplexMatrix matrix)
{
int maxRow = matrix.getNumRows();
int maxCol = matrix.getNumCols();
IComplexMatrix resultMatrix = ComplexMatrixFactory.GenerateComplexMatrix(maxRow, maxCol, false);
IComplexNumber coefficient;
for (int i = 0; i < maxRow; i++)
{
for (int j = 0; j < maxCol; j++)
{
coefficient = ComplexNumberFactory.Operations.Conjugate(matrix.getElement(i, j));
resultMatrix.setElement(coefficient, i, j);
}
}
return resultMatrix;
}
// ADDITION
public IComplexMatrix Add(IComplexMatrix matrixA, IComplexMatrix matrixB)
{
int maxRow = System.Math.Min(matrixA.getNumRows(), matrixB.getNumRows());
int maxCol = System.Math.Min(matrixA.getNumCols(), matrixB.getNumCols());
//if (matrixA.getNumRows() != matrixB.getNumCols()) { throw new ExceptionMatrixDimension(); };
IComplexMatrix resultMatrix = ComplexMatrixFactory.GenerateComplexMatrix(maxRow, maxCol, false);
IComplexNumber coefficientA, coefficientB;
IComplexNumber addition;
for (int i = 0; i < maxRow; i++)
{
for (int j = 0; j < maxCol; j++)
{
coefficientA = matrixA.getElement(i, j);
coefficientB = matrixB.getElement(i, j);
addition = ComplexNumberFactory.Operations.Add(coefficientA, coefficientB);
resultMatrix.setElement(addition, i, j);
}
}
return resultMatrix;
}
// UTILITY PRODUCT
public IComplexMatrix Multiplication(IComplexNumber number, IComplexMatrix matrix)
{
int maxRow = matrix.getNumRows();
int maxCol = matrix.getNumCols();
IComplexMatrix resultMatrix = FactoryComplexMatrix.generateComplexMatrix(maxRow, maxCol, false);
IComplexNumber coefficient;
for (int i = 0; i < maxRow; i++)
{
for (int j = 0; j < maxCol; j++)
{
coefficient = FactoryComplexNumber.Operations.Multiplication(number, matrix.getElement(i, j));
resultMatrix.setElement(coefficient, i, j);
}
}
return resultMatrix;
}
public IComplexMatrix Normalize(IComplexMatrix matrix)
{
double coeff = NormalizationCoefficient(matrix);
IComplexNumber normalizationFactor = ComplexNumberFactory.GenerateComplexNumber(coeff, 0);
return Multiplication(normalizationFactor, matrix);
}
// TENSOR PRODUCT
public IComplexMatrix Tensor(IComplexMatrix matrixA, IComplexMatrix matrixB)
{
int maxRow = matrixA.getNumRows() * matrixB.getNumRows();
int maxCol = matrixA.getNumCols() * matrixB.getNumCols();
IComplexMatrix resultMatrix = ComplexMatrixFactory.GenerateComplexMatrix(maxRow, maxCol, false);
IComplexNumber coefficient;
for (int Ai = 0; Ai < matrixA.getNumRows(); Ai++)
{
for (int Aj = 0; Aj < matrixA.getNumCols(); Aj++)
{
for (int Bi = 0; Bi < matrixB.getNumRows(); Bi++)
{
for (int Bj = 0; Bj < matrixB.getNumCols(); Bj++)
{
coefficient = ComplexNumberFactory.Operations.Multiplication(matrixA.getElement(Ai, Aj), matrixB.getElement(Bi, Bj));
resultMatrix.setElement(coefficient, Ai * matrixB.getNumRows() + Bi, Aj * matrixB.getNumCols() + Bj);
}
}
}
}
return resultMatrix;
}
// TRACE
public IComplexNumber Trace(IComplexMatrix matrix)
{
int vectorLength = System.Math.Min(matrix.getNumRows(), matrix.getNumCols());
IComplexNumber addition;
IComplexNumber element;
addition = ComplexNumberFactory.GenerateZero();
for (int k = 0; k < vectorLength; k++)
{
element = matrix.getElement(k, k);
addition = ComplexNumberFactory.Operations.Add(addition, element);
}
return addition;
}
public double PoweredNormEuclidean(IComplexMatrix matrix)
{
double result = 0;
for (int i = 0; i < matrix.getNumRows(); i++)
{
for (int j = 0; j < matrix.getNumCols(); j++)
{
result += ComplexNumberFactory.Operations.PoweredNormEuclidean(matrix.getElement(i, j));
}
}
return result;
}
// REMOVEROWCOL
public IComplexMatrix RemoveRowCol(IComplexMatrix matrix, int row, int col)
{
int maxRow = matrix.getNumRows() - 1;
int maxCol = matrix.getNumCols() - 1;
IComplexMatrix resultMatrix = ComplexMatrixFactory.GenerateComplexMatrix(maxCol, maxRow, false);
IComplexNumber coefficient;
int a, b;
a = 0;
for (int i = 0; i < maxRow; i++)
{
b = 0;
for (int j = 0; j < maxCol; j++)
{
if ((i != row) && (j != col))
{
coefficient = matrix.getElement(i, j);
resultMatrix.setElement(coefficient, a, b);
}
else
{
a--;
b--;
}
b++;
}
a++;
}
return resultMatrix;
}
public void setVectorInternal(IComplexMatrix vector)
{
int count = getNumLevels();
if (count != vector.countTotalElements())
{ throw new ExceptionQuantumDebugger(); }
for (int i = 0; i < count; i++)
{
setCoefficientInternal(vector.getElement(i, 0), i);
}
}
// NORM
public double PoweredNorm(IComplexMatrix matrix)
{
return PoweredNormEuclidean(matrix);
}
// NORMALIZE
public double NormalizationCoefficient(IComplexMatrix matrix)
{
double poweredNorm = PoweredNorm(matrix);
//int count = matrix.countTotalElements();
double temp = 1.0 / poweredNorm;
return System.Math.Sqrt(temp);
//double coefBase = 1.0 / poweredNorm;
//double coefExpo = 1.0 / (double)count;
//return System.Math.Pow(coefBase, coefExpo);
}
//DATA COMPARISON
public bool Equals(IComplexMatrix matrix)
{
bool result = true;
for( int i=0; i < getNumRows(); i++)
{
for( int j=0; j < getNumCols(); j++ )
{
result &= getElement(i,j).Equals(matrix.getElement(i,j));
}
}
return result;
}
// INNER PRODUCT
public IComplexMatrix Multiplication(IComplexMatrix matrixA, IComplexMatrix matrixB)
{
int maxRow = System.Math.Min(matrixA.getNumRows(), matrixB.getNumRows());
int maxCol = System.Math.Min(matrixA.getNumCols(), matrixB.getNumCols());
//if (matrixA.getNumRows() != matrixB.getNumCols()) { throw new ExceptionMatrixDimension(); };
IComplexMatrix resultMatrix = ComplexMatrixFactory.GenerateComplexMatrix(maxRow, maxCol, false);
IComplexMatrix vectorA, vectorB;
IComplexNumber coefficient;
for (int i = 0; i < maxRow; i++)
{
for (int j = 0; j < maxCol; j++)
{
vectorA = matrixA.extractRowAsVector(i);
vectorB = matrixB.extractColAsVector(j);
coefficient = ComplexMatrixFactory.Operations.Dot(vectorA, vectorB);
resultMatrix.setElement(coefficient, i, j);
}
}
return resultMatrix;
}
// INVERSE
public IComplexMatrix Inverse(IComplexMatrix matrix)
{
IComplexMatrix tempMatrix ;
IComplexNumber determinant;
IComplexNumber coefficient;
determinant = ComplexMatrixFactory.Operations.Determinant(matrix);
coefficient = ComplexNumberFactory.Operations.Inverse(determinant);
tempMatrix = matrix;
tempMatrix = ComplexMatrixFactory.Operations.Transpose(tempMatrix);
tempMatrix = ComplexMatrixFactory.Operations.Conjugate(tempMatrix);
return ComplexMatrixFactory.Operations.Multiplication(coefficient, tempMatrix);
}
// DOT PRODUCT
public IComplexNumber Dot(IComplexMatrix matrixA, IComplexMatrix matrixB)
{
int vectorLength = System.Math.Min(matrixA.getNumRows(), matrixB.getNumRows());
IComplexNumber addition;
IComplexNumber multiplication;
IComplexNumber complexA, complexB;
addition = ComplexNumberFactory.GenerateZero();
for (int k = 0; k < vectorLength; k++)
{
complexA = matrixA.getElement(k, 0);
complexB = matrixB.getElement(k, 0);
multiplication = ComplexNumberFactory.Operations.Multiplication(complexA, complexB);
addition = ComplexNumberFactory.Operations.Add(addition, multiplication);
}
return addition;
}
// CONSTRUCTOR
public QuantumStateIsolated(int numLevels)
: base(numLevels)
{
_matrix = ComplexMatrixFactory.GenerateComplexMatrix(numLevels, 1, false);
_matrix.Randomize();
}
// TRANSPOSE
public IComplexMatrix Transpose(IComplexMatrix matrix)
{
int maxRow = matrix.getNumRows();
int maxCol = matrix.getNumCols();
IComplexMatrix resultMatrix = FactoryComplexMatrix.generateComplexMatrix(maxCol, maxRow, false);
IComplexNumber coefficient;
for (int i = 0; i < maxRow; i++)
{
for (int j = 0; j < maxCol; j++)
{
coefficient = FactoryComplexNumber.Operations.SignReversal(matrix.getElement(i, j));
resultMatrix.setElement(coefficient, j, i);
}
}
return resultMatrix;
}
// Initialize and set values to a existing matix
public virtual void Initialize(IComplexMatrix matrix)
{
for( int i=0; i < getNumRows(); i++ )
for( int j=0; j < getNumCols(); j++ )
{
setElement(matrix.getElement(i,j),i,j);
}
}
// CONSTRUCTOR
public QuStateIsolated(int numLevels)
: base(numLevels)
{
_matrix = FactoryComplexMatrix.generateComplexMatrix(numLevels, 1, false);
_matrix.Randomize();
}
