03_Qiskit2MPS.Rmd

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```{python}
# Visualization
import matplotlib.pyplot as plt
from MPS_QFT.helper import print_state

# Numpy
import numpy as np
from numpy import linalg as LA

# importing Qiskit
from qiskit import QuantumCircuit, execute, Aer
from qiskit.circuit import library as lb
# %config InlineBackend.figure_format = 'svg' # Makes the images look nice

# Tensor networks
import quimb as quimb
from ncon import ncon

#gates
from MPS_QFT.gates import CPHASE, cphase_swap_qiskit, GATES
from MPS_QFT.circuit import qft_circuit_qiskit, circ_data, MPS_circ
```

```{python}
Gates = GATES()
# Dictionary of the gates
gates = Gates.gate_dict
```

```{python}
n_qub = 2

qc = QuantumCircuit(n_qub)
qc.h(0)
qc.cx(0, 1)
qft_circuit_qiskit(qc, n_qub)
#qc.draw('mpl')
```

```{python}
psi0 = MPS_circ(qc, gates)
psi0.graph(color=['cp', 'swap', 'h', 'psi0'], show_inds=True) #Plot the network
print_state(psi0.to_dense())
```

# Test quimb bond dimension

```{python}
n_qub = 2

qc = QuantumCircuit(n_qub)
qc.h(0)
qc.cx(0, 1)
qc.draw('mpl')
```

```{python}
psi0 = quimb.tensor.MPS_computational_state('00', tags = 'psi0')
psi0.gate_(gates['h'], 0, tags='h', max_bond=10, contract='split-gate')
psi0.gate_(gates['cx'], (0, 1), tags='cx', max_bond=1, contract='split-gate')
psi0.graph(color=['cx', 'h', 'psi0'], show_inds=True) #Plot the network
print_state(psi0.to_dense())
```

```{python}

```