49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import numpy as np
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import quimb.tensor as qtn
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from qibo.models import Circuit as QiboCircuit
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def from_qibo(circuit: QiboCircuit, is_mps: False, psi0=None, method='svd',
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cutoff=1e-6, cutoff_mode='abs'):
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nqubits = circuit.nqubits
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gate_opt = {}
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if (is_mps):
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tncirc = qtn.CircuitMPS(nqubits, psi0=psi0)
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gate_opt["method"] = method
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gate_opt["cutoff"] = cutoff
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gate_opt["cutoff_mode"] = cutoff_mode
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else:
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tncirc = qtn.Circuit(nqubits, psi0=psi0)
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for gate in circuit.queue:
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tncirc.apply_gate(
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gate.name,
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*gate.parameters,
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*gate.qubits,
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parametrize=False if is_mps else (len(gate.parameters) > 0),
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**gate_opt
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)
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return tncirc
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def init_state_tn(nqubits, init_state_sv):
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dims = tuple(2 * np.ones(nqubits, dtype=int))
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return qtn.tensor_1d.MatrixProductState.from_dense(init_state_sv, dims)
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def eval(qasm: str, init_state, backend="numpy"):
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"""Evaluate QASM with Quimb
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backend (quimb): numpy, cupy, jax. Passed to ``opt_einsum``.
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"""
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circuit = QiboCircuit.from_qasm(qasm)
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init_state_mps = init_state_tn(circuit.nqubits, init_state)
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circ_quimb = from_qibo(circuit, is_mps=True, psi0=init_state_mps)
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interim = circ_quimb.psi.full_simplify(seq="DRC")
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amplitudes = interim.to_dense(backend=backend).flatten()
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return amplitudes
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