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Trying to implement block encoding with LCU in Qiskit and the matrix looks correct but is permuted. What am I doing wrong ? from qiskit.quantum_info import SparsePauliOp, Statevector, Operator from qiskit import QuantumCircuit, transpile from qiskit.circuit.library import StatePreparation, PauliGate import numpy as np a = 0.25 b = 0.75 # matrix to be decomposed A = np.array( [[a, 0, 0, b], [0, -a, b, 0], [0, b, a, 0], [b, 0, 0, -a]] ) pauli_op = SparsePauliOp.from_operator(A) n_ancilla = int(np.
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Block Encoded Matrix is Permuted in Qiskit
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Trying to implement block encoding with LCU in Qiskit and the matrix looks correct but is permuted. What am I doing wrong ?
from qiskit.quantum_info import SparsePauliOp, Statevector, Operator
from qiskit import QuantumCircuit, transpile
from qiskit.circuit.library import StatePreparation, PauliGate
import numpy as np
a = 0.25
b = 0.75
# matrix to be decomposed
A = np.array(
[[a, 0, 0, b],
[0, -a, b, 0],
[0, b, a, 0],
[b, 0, 0, -a]]
)
pauli_op = SparsePauliOp.from_operator(A)
n_ancilla = int(np.ceil(np.log2(len(pauli_op.coeffs))))
n_reg = int(np.log2(len(A)))
amps = np.sqrt(np.abs(pauli_op.coeffs) / np.linalg.norm(pauli_op.coeffs,ord=1))
padded_amps = np.zeros(2**n_ancilla)
padded_amps[:len(amps)] = amps
prep_gate = StatePreparation(padded_amps,label="Prep")
qc = QuantumCircuit(n_ancilla + n_reg,n_ancilla)
qc.append(prep_gate,qc.qubits[:n_ancilla])
for index, pauli in enumerate(pauli_op.paulis):
intstr = f"{int(index):0{len(qc.qubits[:n_ancilla])}b}"[::-1]
control_pauli_k = PauliGate(pauli.to_label()).control(num_ctrl_qubits=n_ancilla,ctrl_state=intstr)
print(control_pauli_k)
qc.append(control_pauli_k,qc.qubits)
qc.append(prep_gate.inverse(),qc.qubits[:n_ancilla])
# qc.measure(qc.qubits[:n_ancilla],qc.clbits)
qc.draw("mpl")
Actual
[[ 0.25, -0.43, 0. , 0. , 0. , 0. , 0.75, 0.43],
[-0.43, 0.75, 0. , 0. , 0. , 0. , 0.43, 0.25],
[ 0. , 0. , -0.25, 0.43, 0.75, 0.43, 0. , 0. ],
[ 0. , 0. , 0.43, -0.75, 0.43, 0.25, 0. , 0. ],
[ 0. , 0. , 0.75, 0.43, 0.25, -0.43, 0. , 0. ],
[ 0. , 0. , 0.43, 0.25, -0.43, 0.75, 0. , 0. ],
[ 0.75, 0.43, 0. , 0. , 0. , 0. , -0.25, 0.43],
[ 0.43, 0.25, 0. , 0. , 0. , 0. , 0.43, -0.75]]
Expected
[[ 0.25 0. 0. 0.75 -0.43 0. 0. 0.43]
[ 0. -0.25 0.75 0. 0. 0.43 0.43 0. ]
[ 0. 0.75 0.25 0. 0. 0.43 -0.43 0. ]
[ 0.75 0. 0. -0.25 0.43 0. 0. 0.43]
[-0.43 0. 0. 0.43 0.75 0. 0. 0.25]
[ 0. 0.43 0.43 0. 0. -0.75 0.25 0. ]
[ 0. 0.43 -0.43 0. 0. 0.25 0.75 0. ]
[ 0.43 0. 0. 0.43 0.25 0. 0. -0.75]]
```
qiskitquantum-stateunitaryblock-encoding
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asked 2 hours ago
Raghav Baheti
1
New contributor
1
how did you come up with your "expected" matrix? First thing to check is usually the ordering of the tensor product: qiskit puts the "first" qubit last. So try changing all your basis elements from
|abc⟩
|
𝑎
𝑏
𝑐
⟩
to
|cba⟩
|
𝑐
𝑏
𝑎
⟩
. –
DaftWullie
Commented
2 hours ago
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