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Merge pull request #15 from kevinsung/move-gates
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move gates to separate file
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@kevinsung
kevinsung authored Nov 20, 2024
2 parents e4d4011 + aac5de7 commit cf8022f
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Showing 3 changed files with 238 additions and 223 deletions.
3 changes: 2 additions & 1 deletion src/qiskit_quimb/__init__.py
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Expand Up @@ -8,7 +8,8 @@
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.

from qiskit_quimb.circuit import SUPPORTED_GATES, quimb_circuit, quimb_gate, quimb_gates
from qiskit_quimb.circuit import quimb_circuit
from qiskit_quimb.gate import SUPPORTED_GATES, quimb_gate, quimb_gates

__all__ = [
"SUPPORTED_GATES",
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225 changes: 3 additions & 222 deletions src/qiskit_quimb/circuit.py
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# that they have been altered from the originals.
from __future__ import annotations

import math
from collections.abc import Iterator, Sequence
from typing import Any, Callable

import quimb.tensor
from qiskit.circuit import Instruction, QuantumCircuit
from qiskit.circuit import QuantumCircuit

from qiskit_quimb.gate import quimb_gates


def quimb_circuit(
Expand All @@ -38,220 +36,3 @@ def quimb_circuit(
return quimb_circuit_class.from_gates(
quimb_gates(circuit), N=circuit.num_qubits, **kwargs
)


def quimb_gates(circuit: QuantumCircuit) -> list[quimb.tensor.Gate]:
"""Convert a Qiskit circuit to a list of quimb gates."""
gates = []
for instruction in circuit.data:
op = instruction.operation
qubits = [circuit.find_bit(qubit)[0] for qubit in instruction.qubits]
for gate in _gen_quimb_gates(op, qubits):
gates.append(gate)
return gates


def _gen_quimb_gates(
op: Instruction, qubits: Sequence[int], **kwargs
) -> Iterator[quimb.tensor.Gate]:
"""Convert a Qiskit gate to quimb gates."""
name = op.name
if name == "barrier":
pass
else:
yield quimb_gate(op, qubits, **kwargs)


_gate_func: dict[
str,
Callable[[Instruction, Sequence[int], dict[str, Any]], quimb.tensor.Gate | None],
] = {}

SUPPORTED_GATES = _gate_func.keys()


def _register_gate_func(name: str):
def g(f):
_gate_func[name] = f
return f

return g


@_register_gate_func("barrier")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return None


@_register_gate_func("ccx")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("CCX", params=[], qubits=qubits, **kwargs)


@_register_gate_func("ccz")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("CCZ", params=[], qubits=qubits, **kwargs)


@_register_gate_func("cp")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("CPHASE", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("cx")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("CX", params=[], qubits=qubits, **kwargs)


@_register_gate_func("cy")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("CY", params=[], qubits=qubits, **kwargs)


@_register_gate_func("cz")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("CZ", params=[], qubits=qubits, **kwargs)


@_register_gate_func("h")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("H", params=[], qubits=qubits, **kwargs)


@_register_gate_func("id")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("IDEN", params=[], qubits=qubits, **kwargs)


@_register_gate_func("iswap")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("ISWAP", params=[], qubits=qubits, **kwargs)


@_register_gate_func("measure")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
raise ValueError(
"Encountered a measurement gate, which is not allowed. "
"Remove the measurements from your circuit and try again."
)


@_register_gate_func("p")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("PHASE", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("rx")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RX", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("rxx")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RXX", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("ry")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RY", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("ryy")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RYY", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("rz")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RZ", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("rzz")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("RZZ", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("s")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("S", params=[], qubits=qubits, **kwargs)


@_register_gate_func("sdg")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("SDG", params=[], qubits=qubits, **kwargs)


@_register_gate_func("swap")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("SWAP", params=[], qubits=qubits, **kwargs)


@_register_gate_func("t")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("T", params=[], qubits=qubits, **kwargs)


@_register_gate_func("tdg")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("TDG", params=[], qubits=qubits, **kwargs)


@_register_gate_func("u1")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta,) = op.params
return quimb.tensor.Gate("U1", params=[theta], qubits=qubits, **kwargs)


@_register_gate_func("u2")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(phi, lam) = op.params
return quimb.tensor.Gate("U2", params=[phi, lam], qubits=qubits, **kwargs)


@_register_gate_func("u3")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
(theta, phi, lam) = op.params
return quimb.tensor.Gate("U3", params=[theta, phi, lam], qubits=qubits, **kwargs)


@_register_gate_func("x")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("X", params=[], qubits=qubits, **kwargs)


@_register_gate_func("xx_plus_yy")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
theta, beta = op.params
return quimb.tensor.Gate(
"GIVENS2", params=[0.5 * theta, beta + 0.5 * math.pi], qubits=qubits, **kwargs
)


@_register_gate_func("y")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("Y", params=[], qubits=qubits, **kwargs)


@_register_gate_func("z")
def _(op: Instruction, qubits: Sequence[int], kwargs: dict[str, Any]):
return quimb.tensor.Gate("Z", params=[], qubits=qubits, **kwargs)


def quimb_gate(
op: Instruction, qubits: Sequence[int], **kwargs
) -> quimb.tensor.Gate | None:
"""Convert a Qiskit gate to a quimb gate, or ``None`` in case of a barrier."""
try:
func = _gate_func[op.name]
except KeyError:
raise ValueError(f"Unsupported gate: {op.name}.") from None
else:
return func(op, qubits, kwargs)
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