Empresas
Empleos
  • Sobre nosotros
  • Soluciones
    • Publicación de vacantes
      Publica tu vacante y recibe candidatos calificados en 48h.
    • Evaluación de candidatos
      500+ pruebas técnicas y psicológicas, más anti-fraude.
    • Headhunting
      Búsqueda ejecutiva a la medida de principio a fin.
    • Nómina + EOR
      Dispersión de nómina y EOR en más de 15 países de LATAM.
  • Precios
  • Empleos

0

208
Vistas
Evaluate inner product of bra and ket in Sympy Quantum

In sympy I have defined a two kets and a corresponding bra, when I apply the bra to the kets...

from sympy import sqrt
from sympy.physics.quantum import Bra,Ket,qapply
superpos = (Ket('Dead')+Ket('Alive'))/sqrt(2)
d = qapply(Bra('Dead')*superpos)

...I get this result:

sqrt(2)*<Dead|Alive>/2 + sqrt(2)*<Dead|Dead>/2

How do I set 'Dead' and 'Alive' as orthogonal states, so that d.doit() gives sqrt(2)/2?

So far I've only been able to substitute the brakets by hand:

d.subs(Bra('Dead')*Ket('Dead'),1).subs(Bra('Dead')*Ket('Alive'),0)

But how do I make the brakets evaluate automatically? Why doesn't the InnerProduct result to 1 for identical brakets and 0 for brakets with different labels?

over 4 years ago · Santiago Trujillo
3 Respuestas
Responde la pregunta

0

Your problem is that InnerProduct doesn't know how to evaluate these values and so leaves the unsimplified expression instead. Looking at the source, I see that it tries to call _eval_innerproduct() on the Ket, which says this.

def _eval_innerproduct(self, bra, **hints):
    """Evaluate the inner product betweeen this ket and a bra.

    This is called to compute <bra|ket>, where the ket is ``self``.

    This method will dispatch to sub-methods having the format::

        ``def _eval_innerproduct_BraClass(self, **hints):``

    Subclasses should define these methods (one for each BraClass) to
    teach the ket how to take inner products with bras.
    """

You should therefore be able to solve your problem by creating 2 new Bra classes and a new Ket class that implements 2 methods - one to evaluate each of the inner products (using the naming convention mandated above).

For completeness you probably also want to implement the other Ket for your orthogonal state and to make sure that dual_class returns the right class in each case.

over 4 years ago · Santiago Trujillo Denunciar

0

As Peter points out in his answer, you need to implement a new Bra and Ket class yourself. This is a nice general implementation for orthogonal states that you can use.

Example usage:

>>> OrthogonalBra(n)*OrthogonalKet(n)
1
>>> OrthogonalBra(n)*OrthogonalKet(n+1)
0
>>> OrthogonalBra(n)*OrthogonalKet(m)
<n|m>

Implementation:

class OrthogonalKet(Ket):

    @classmethod
    def dual_class(self):
        return OrthogonalBra

    def _eval_innerproduct(self, bra, **hints):

        if len(self.args) != len(bra.args):
            raise ValueError('Cannot multiply a ket that has a different number of labels.')

        for i in range(len(self.args)):
            diff = self.args[i] - bra.args[i]
            diff.simplify()

            if diff.is_nonzero:
                return 0

            if not diff.is_zero:
                return None

        return 1


class OrthogonalBra(Bra):

    @classmethod
    def dual_class(self):
        return OrthogonalKet

over 4 years ago · Santiago Trujillo Denunciar

0

This isn't exactly what you're looking for, but you can use Qubit to create orthogonal states.

from sympy import sqrt
from sympy.physics.quantum import Dagger, qapply
from sympy.physics.quantum.qubit import Qubit

dead = Qubit(0)
alive = Qubit(1)

These create Ket(0) and Ket(1). To make the Bra, you can use the Dagger function.

print(Dagger(dead) * dead)
<0|0>

When applied to your problem:

superpos = (dead + alive) / sqrt(2)
d = qapply(Dagger(dead) * superpos)

print(d)
sqrt(2)/2
over 4 years ago · Santiago Trujillo Denunciar
Responde la pregunta
Encuentra empleos remotos

¡Descubre la nueva forma de encontrar empleo!

Top de empleos
Top categorías de empleo
Empresas
Publicar vacante Precios Comercial
Legal
Términos y condiciones Política de privacidad
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Recomiéndame algunas ofertas
Necesito ayuda