Note

Click here to download the full example code

# Quantum information with polarized light¶

*Author: Nicolás Quesada*

In this tutorial we will explore how to model quantum photonic experiments involving “internal” degrees of freedom of light, such as polarization. Note that by default Strawberry Fields deals with qumodes without an explicit commitment to what degree of freedom those qumodes correspond to. Using polarization degrees of freedom allows us to encode quantum information more densely. For example, one can use the two orthogonal polarizations of a single photon to encode a single qubit.

Polarization is the ability of fields to oscillate in more than one direction as they propagate. One can think of light as a transverse field, meaning that it does not oscillate in the direction of propagation. This implies that in our three-dimensional world light has two directions in which it can oscillate that are perpendicular to its direction of propagation. Because of this, a photon propagating in a certain direction \(k\) can have two orthogonal polarizations. This is schematically shown below:

In this tutorial, we will show how polarization “gates” implemented by half-wave plates and polarizing beamsplitters can be mapped into the usual quantum operations from Strawberry Fields. Then we will use this knowledge to simulate the generation of a maximally entangled Bell state encoded in polarization degrees of freedom.

## Manipulating polarization degrees of freedom¶

It turns out that the polarization degree of freedom of photons can be used to encode information, and this information is typically manipulated using so-called half-wave plates and polarizing beamsplitters.

### Half-wave plates¶

A half-wave plate (HWP) allows us to rotate the polarization of a photon. For example,

where \(\text{HWP}\) is a unitary operator representing a half-wave plate, \(|1_H \rangle\) is a single horizontally-polarized photon and, similarly, \(|1_V \rangle\) is a single vertically-polarized photon The states in the right hand sides of the last equation can be understood as single photons polarized along the diagonal (\(+45^\circ\)) and antidiagonal (\(-45^\circ\)) directions, as depicted below:

The transformation above is written in the Schrödinger picture for single photon inputs. It is often more fruitful to write it in the Heisenberg picture as follows:

where we transformed the creation operators \(a_{H/V}^\dagger\) of the modes.

### Polarizing beamsplitters¶

A polarizing beamsplitter (PBS) will transmit light of a certain polarization while reflecting light from the orthogonal polarization. This operation acts on two paths each having two polarizations. For two spatial modes with two polarizations (a total of \(4 = 2 \times 2\) creation operators) we can write its Heisenberg action as

Note that the horizontal polarizations of both modes are unaffected (they are “transmitted”) and that the vertical polarizations are swapped (they are “reflected”). The action of the PBS is schematically shown below for the different path and polarization modes:

We can use a PBS to separate two photons with orthogonal polarizations in the same path into two photons in different paths:

where we used the notation \(|x_H y_V,a_H b_V \rangle\) to indicate \(x\) (\(y\)) horizontal (vertical) photons in mode 1, \(a\) (\(b\)) horizontal (vertical) photons in mode 2.

## Mapping to Strawberry Fields gates¶

With the notation we developed above we are ready to simulate basic polarization optical primitives using Strawberry Fields. We simply need to recall that each optical path with two polarizations can be represented using 2 qumodes. For each path \(i\), we associate qumodes \(2i\) and \(2i+1\) to its horizontal and vertical polarization respectively.

We can the associate Strawberry Fields gates with the polarization primitives discussed above as follows:

To see why the first association is true recall that a
HWP maps the creation operators of two polarizations in the same path to
linear combinations of the same operators, which is precisely what the
`BSgate`

does when applied to modes \(2i\) and \(2i+1\)
representing the two orthogonal polarizations of path \(i\).

To understand the second expression recall that a
\(\text{PBS}\) simply swaps the vertical polarization of the two
paths, which correspond precisely to qumodes \(2i+1\) and
\(2j+1\). Finally, note that a swap is readily implemented in Strawberry Fields by
using the `Interferometer`

gate with argument
\(\left[\begin{smallmatrix} 0&1 \\1&0 \end{smallmatrix} \right]\).

## Simulating the generation of event-ready photon pairs¶

Zhang et al. [1] propose a method for generating postselected photonic maximally entangled Bell states by using single photons input into an interferometer. Their method uses a 4 spatial-path interferometer where each path takes advantage of the two polarizations (vertical and horizontal) of a photon. The circuit starts with four horizontal photons in each of the paths and then proceeds as shown below

Conditioned in two of the detectors collecting a single photon each and the other two measuring vacuum, Zhang et al. show that the state of modes 1 and 4 collapses to a two-photon maximally entangled Bell state of the form

With the rules established in the last section we can translate the 2-polarization 4-path circuit into a circuit with 8 qumodes as shown below

We are now ready to do the simulations!

```
# Import and preliminaries
import strawberryfields as sf
from strawberryfields.ops import Ket, BSgate, Interferometer
import numpy as np
cutoff_dim = 5 # (1+ total number of photons)
paths = 4
modes = 2 * paths
initial_state = np.zeros([cutoff_dim] * modes, dtype=np.complex)
# The ket below corresponds to a single horizontal photon in each of the modes
initial_state[1, 0, 1, 0, 1, 0, 1, 0] = 1
# Permutation matrix
X = np.array([[0, 1], [1, 0]])
# Here is the main program
# We create the input state and then send it through a network of beamsplitters and swaps.
prog = sf.Program(8)
with prog.context as q:
Ket(initial_state) | q # Initial state preparation
for i in range(paths):
BSgate() | (q[2 * i], q[2 * i + 1]) # First layer of beamsplitters
Interferometer(X) | (q[1], q[3])
Interferometer(X) | (q[5], q[7])
BSgate() | (q[2], q[3])
BSgate() | (q[4], q[5])
Interferometer(X) | (q[3], q[5])
BSgate().H | (q[2], q[3])
BSgate().H | (q[4], q[5])
# We run the simulation
eng = sf.Engine("fock", backend_options={"cutoff_dim": cutoff_dim})
result = eng.run(prog)
state = result.state
ket = state.ket()
# Check the normalization of the ket.
# This does give the exact answer because of the cutoff we chose.
print("The norm of the ket is ", np.linalg.norm(ket))
```

Out:

```
The norm of the ket is 1.0
```

## Postselection¶

Let’s consider the case where one horizontally-polarized photon is detected in both paths 2 and 3.

```
sub_ket1 = np.round(ket[:, :, 1, 0, 1, 0, :, :], 14) # postselect on correct pattern
p1 = np.round(np.linalg.norm(sub_ket1) ** 2, 14) # Check the probability of this event
print("The probability is ", p1)
print("The expected probability is ", 1 / 32)
# These are the only nonzero components
ind1 = np.array(np.nonzero(np.real_if_close(sub_ket1))).T
print("The indices of the nonzero components are \n ", ind1)
# And these are their coefficients
print("The nonzero components have values ", [sub_ket1[tuple(ind)] for ind in ind1])
```

Out:

```
The probability is 0.03125
The expected probability is 0.03125
The indices of the nonzero components are
[[0 1 0 1]
[1 0 1 0]]
The nonzero components have values [(0.125-0j), (0.125-0j)]
```

Thus up to normalization the postselected state is indeed \(|\phi^+ \rangle\).

We can study all the successful postselections. To simplify tensor manipulation we will move the modes in which we measure to be the first 4 modes of the tensor by using a transposition:

```
# Transpose the ket
ket_t = ket.transpose(2, 3, 4, 5, 0, 1, 6, 7)
# Postselection patterns:
patterns = [
[1, 1, 0, 0],
[1, 0, 1, 0],
[1, 0, 0, 1],
[0, 1, 1, 0],
[0, 1, 0, 1],
[0, 0, 1, 1],
]
```

For each pattern we can construct the postselected ket, and find which components are nonzero. Note that for each postselection there are only two nonzero components, as expected for a Bell state.

```
sub_kets = [np.round(ket_t[tuple(ind)], 15) for ind in patterns]
ps = np.array(list(map(np.linalg.norm, sub_kets))) ** 2
indices = np.array([np.array(np.nonzero(sub_ket)).T for sub_ket in sub_kets])
print(
"The indices of the nonzero components for the six different postselections are \n",
indices,
)
# The successful postselection events occur with the same probability
print("The success probabilities for each pattern are the same \n", ps)
```

Out:

```
The indices of the nonzero components for the six different postselections are
[[[0 0 1 1]
[1 1 0 0]]
[[0 1 0 1]
[1 0 1 0]]
[[0 1 1 0]
[1 0 0 1]]
[[0 1 1 0]
[1 0 0 1]]
[[0 1 0 1]
[1 0 1 0]]
[[0 0 1 1]
[1 1 0 0]]]
The success probabilities for each pattern are the same
[0.03125 0.03125 0.03125 0.03125 0.03125 0.03125]
```

## Conclusion¶

We have examined how to map the evolution of photonic systems with path and polarization degrees of freedom into qumodes evolving under unitary operations. The main takeaway is that a system with \(N\) paths and 2 polarization degrees of freedom can be mapped into a system of \(2N\) qumodes. We have also explored in detail how the typical optical elements used to couple path and polarization can be mapped to qumode simulations. Finally, we used these identifications to simulate the generation of event-ready (i.e. postselected) Bell states.

## Contents

## Downloads

## Related tutorials