Merge branch 'cuQuantum_cuTensorNet' of https://github.com/qiboteam/qibotn into cuQuantum_cuTensorNet
This commit is contained in:
@@ -1,13 +1,28 @@
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import argparse
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from timeit import default_timer as timer
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from qibotn import quimb as qiboquimb
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from QiboCircuitConvertor import QiboCircuitToEinsum
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from cuquantum import contract
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import cupy as cp
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from qibo.models import *
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from timeit import default_timer as timer
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from qibo.models import QFT
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def parser():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--nqubits", default=10, type=int, help="Number of quibits in the circuits."
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)
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return parser.parse_args()
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def main(args: argparse.Namespace):
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print("Testing for %d nqubits" % (args.nqubits))
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qiboquimb.eval(args.nqubits, args.qasm_circ, args.init_state)
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def parser_cuquantum():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--nqubits", default=10, type=int, help="Number of quibits in the circuits."
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@@ -42,7 +57,7 @@ def run_bench(task, label):
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return result
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def main(args: argparse.Namespace):
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def main_cuquantum(args: argparse.Namespace):
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print("Testing for %d nqubits" % (args.nqubits))
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nqubits = args.nqubits
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circuit_name = args.circuit
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39
src/qibotn/quimb.py
Normal file
39
src/qibotn/quimb.py
Normal file
@@ -0,0 +1,39 @@
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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, psi0=None):
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nqubits = circuit.nqubits
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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=len(gate.parameters) > 0
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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, 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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