From 409865b55d2aa8e67332ffe46960ee4492e68c1f Mon Sep 17 00:00:00 2001 From: Isaac De Vlugt <34751083+isaacdevlugt@users.noreply.github.com> Date: Tue, 2 Jul 2024 14:44:27 -0400 Subject: [PATCH] [sc-63358] How to use Qiskit 1.0 with PennyLane (#1104) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit **Title:** How to use Qiskit 1.0 with PL Shortcut: https://app.shortcut.com/xanaduai/story/63358/how-to-how-to-use-qiskit-1-0-with-pennylane --------- Co-authored-by: Josh Izaac Co-authored-by: soranjh <40344468+soranjh@users.noreply.github.com> Co-authored-by: Ivana Kurečić --- _static/authors/isaac_de_vlugt.jpeg | Bin 0 -> 194632 bytes _static/authors/isaac_de_vlugt.txt | 4 + .../pl_real_world_example.png | Bin 0 -> 15705 bytes .../qiskit_parameterized_circuit.png | Bin 0 -> 6634 bytes .../thumbnail_HowToUseQiskit1WithPL.png | Bin 0 -> 33314 bytes ...o_use_qiskit1_with_pennylane.metadata.json | 48 ++ .../how_to_use_qiskit1_with_pennylane.py | 434 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/dev/null +++ b/demonstrations/how_to_use_qiskit1_with_pennylane.metadata.json @@ -0,0 +1,48 @@ +{ + "title": "How to use Qiskit 1.0 with PennyLane", + "authors": [ + { + "id": "isaac_de_vlugt" + } + ], + "dateOfPublication": "2024-07-02T00:00:00+00:00", + "dateOfLastModification": "2024-07-02T00:00:00+00:00", + "categories": [ + "Quantum Computing" + ], + "tags": [], + "previewImages": [ + { + "type": "thumbnail", + "uri": "/_static/demonstration_assets/regular_demo_thumbnails/thumbnail_HowToUseQiskit1WithPL.png" + } + ], + "seoDescription": "Learn how to get started using Qiskit 1.0 with PennyLane", + "doi": "", + "canonicalURL": "/qml/demos/how_to_use_qiskit1_with_pennylane", + "references": [], + "basedOnPapers": [], + "referencedByPapers": [], + "relatedContent": [ + { + "type": "demonstration", + "id": "tutorial_qubit_rotation", + "weight": 1.0 + }, + { + "type": "demonstration", + "id": "tutorial_diffable-mitigation", + "weight": 1.0 + }, + { + "type": "demonstration", + "id": "tutorial_jax_transformations", + "weight": 1.0 + }, + { + "type": "demonstration", + "id": "tutorial_qnn_module_torch", + "weight": 1.0 + } + ] +} diff --git a/demonstrations/how_to_use_qiskit1_with_pennylane.py b/demonstrations/how_to_use_qiskit1_with_pennylane.py new file mode 100644 index 0000000000..1a6e0ca61a --- /dev/null +++ b/demonstrations/how_to_use_qiskit1_with_pennylane.py @@ -0,0 +1,434 @@ +r"""How to use Qiskit 1.0 with PennyLane +==================================== + +The PennyLane-Qiskit plugin enables you to integrate your existing Qiskit code and run circuits on IBM +devices with PennyLane, encompassing two real-world scenarios: (1) working in PennyLane from the start +and executing your work on an IBM device and (2) converting your existing Qiskit code to PennyLane and +executing that on *any* device, including IBM devices, :doc:`Amazon Braket ` +— you name it! + +With the `first stable release of Qiskit `__ in February 2024, we subsequently shipped some +excellent features and upgrades with the PennyLane-Qiskit plugin, allowing +anyone familiar with +Qiskit to jump into the PennyLane ecosystem and land on both feet. +In this demo, we want to show you how easy these features are to use, letting you make that +aforementioned jump like it’s nothing 😌. +""" + +###################################################################### +# .. note :: +# +# To follow along, we recommend installing the PennyLane-Qiskit plugin in a separate virtual environment. +# +# .. code-block:: none +# +# pip install -U pennylane-qiskit +# +# This will install PennyLane, the plugin, and the latest Qiskit 1.0 version that the plugin supports. +# If you use an environment that contains a pre-1.0 version of Qiskit, upgrading to Qiskit 1.0 could +# cause issues. In that case, we recommend following `Qiskit's upgrade instructions `__. +# + +###################################################################### +# Coding in PennyLane, executing on IBM Quantum devices +# ----------------------------------------------------- +# +# If you want to distill how a PennyLane plugin works down to one thing, it’s all in the provided devices! In +# PennyLane, you just :doc:`create your circuit (a quantum function) ` and decorate it with +# the QNode decorator :func:`@qml.qnode(dev) `, where ``dev`` is (one of) the plugin’s device(s). +# +# In PennyLane and its plugins, +# `devices `__ are called upon by their short name, and can be loaded via the :func:`~pennylane.device` function: +# +# .. code-block:: +# +# qml.device("shortname", *device_options) +# +# If you’ve +# seen PennyLane code before, you’ve probably seen ``"default.qubit"`` or ``"lightning.qubit"`` as +# short names for our Python and C++ statevector simulators, respectively. +# +# In the PennyLane-Qiskit plugin, there are `many IBM +# devices `__ you can use, but there are +# two heavy hitters for Qiskit 1.0: +# +# - ``"qiskit.basicsim"``: uses the Qiskit ``BasicSimulator`` backend from the ``basic_provider`` +# module in Qiskit 1.0. +# +# - ``"qiskit.remote"``: lets you run PennyLane code on any Qiskit device, where you can choose between +# different backends — either simulators tailor-made to emulate the real hardware, or the real +# hardware itself. +# +# +# If you want to use any of these devices in PennyLane, simply put those short names into +# ``qml.device`` and any quantum function decorated with ``@qml.qnode(dev)`` will execute on the +# corresponding device. +# + +###################################################################### +# To show how easy this is, let’s say we have this simple circuit in Qiskit 1.0. +# + +import qiskit +from qiskit import QuantumCircuit +from qiskit.providers.basic_provider import BasicSimulator + +qc = QuantumCircuit(2, 1) + +qc.h(0) +qc.cx(0, 1) +qc.measure(1, 0) + +backend = BasicSimulator() +counts = backend.run(qc).result().get_counts() + +print(counts) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# {'0': 523, '1': 501} +# + +###################################################################### +# In PennyLane, we can execute the exact same circuit on the exact same device and backend like so: +# + +import pennylane as qml + +dev = qml.device("qiskit.basicsim", wires=2, shots=1024) + +@qml.qnode(dev) +def circuit(): + qml.Hadamard(0) + qml.CNOT([0, 1]) + return qml.counts(wires=1) + +print(circuit()) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# {'0': tensor(474, requires_grad=True), '1': tensor(550, requires_grad=True)} +# + +###################################################################### +# Magic! With one line of code, you can work inside PennyLane and ship the execution off to your +# favourite IBM device. It’s exactly like using Qiskit 1.0, but you interact with PennyLane instead. +# + +###################################################################### +# Converting Qiskit 1.0 code to PennyLane +# --------------------------------------- +# +# This is probably what a lot of the audience is wondering: “Can I combine my existing work in Qiskit +# with PennyLane?” *YES.* And don’t worry, you don’t need to import a ton of things or use a bunch of +# functions — you only need to know *two* functions: +# +# - :func:`~pennylane.from_qiskit`: converts an entire Qiskit ``QuantumCircuit`` — the whole thing — into a +# PennyLane quantum function. It will faithfully convert Qiskit-side measurements (even mid-circuit +# measurements), or you can append Pennylane-side measurements directly to it. +# +# - :func:`~pennylane.from_qiskit_op`: converts a ``SparsePauliOp`` in Qiskit 1.0 to the equivalent operator +# in PennyLane. +# +# +# Both of these functions give you all the functionality you need to access PennyLane’s features and +# user interface starting from the side of Qiskit 1.0. Let’s look at an example where both of these +# functions are used. +# + +###################################################################### +# Let’s say you’ve created the following Qiskit code that prepares a modified GHZ state for an +# arbitrary amount of qubits and measures several expectation values of ``SparsePauliOp`` operators. +# + +from qiskit.quantum_info import SparsePauliOp + +n = 5 + +def qiskit_GHZ_circuit(n): + qc = QuantumCircuit(n) + qc.h(0) + for i in range(n - 1): + qc.cx(i, i + 1) + qc.rx(0.1967, i) + return qc + +qc = qiskit_GHZ_circuit(n) + +operator_strings = ["I" * i + "ZZ" + "I" * (n - 2 - i) for i in range(n - 1)] +operators = [SparsePauliOp(operator_string) for operator_string in operator_strings] +print(operators) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [SparsePauliOp(['ZZIII'], +# coeffs=[1.+0.j]), SparsePauliOp(['IZZII'], +# coeffs=[1.+0.j]), SparsePauliOp(['IIZZI'], +# coeffs=[1.+0.j]), SparsePauliOp(['IIIZZ'], +# coeffs=[1.+0.j])] +# + +###################################################################### +# With the circuit and operators defined, we can create a +# `StatevectorEstimator `__ +# primitive in Qiskit to execute the circuit and calculate expectation values. +# + +from qiskit.primitives import StatevectorEstimator + +estimator = StatevectorEstimator() +job_estimator = estimator.run([(qc, operators)]) +result_estimator = job_estimator.result()[0].data.evs + +print(result_estimator) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [0.98071685 0.96180554 0.96180554 0.96180554] +# + +###################################################################### +# To convert this work into PennyLane, let’s start with the Qiskit-side ``SparsePauliOp`` operators +# and converting them to PennyLane objects with ``qml.from_qiskit_op``. +# + +pl_operators = [qml.from_qiskit_op(qiskit_op) for qiskit_op in operators] +print(pl_operators) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [Z(3) @ Z(4), Z(2) @ Z(3), Z(1) @ Z(2), Z(0) @ Z(1)] +# + +###################################################################### +# .. note :: +# +# PennyLane wires are enumerated from left to right, while the Qiskit convention is to +# enumerate from right to left. This means a ``SparsePauliOp`` term defined by the string “XYZ” in Qiskit +# applies ``Z`` on wire ``0``, ``Y`` on wire ``1``, and ``X`` on wire ``2``. For more details, see +# the `String `__ representation +# section of the Qiskit documentation for the ``Pauli`` class. +# + +###################################################################### +# Next, we show how to convert the Qiskit ``QuantumCircuit``, ``qc``, to PennyLane with ``qml.from_qiskit``. We +# can append the measurements — expectation values (:func:`~pennylane.expval`) of ``pl_operators`` — with the +# ``measurements`` keyword argument, which accepts a list of PennyLane measurements. +# + +measurements = [qml.expval(op) for op in pl_operators] # expectation values + +qc = qiskit_GHZ_circuit(n) +pl_qfunc = qml.from_qiskit(qc, measurements=measurements) + +###################################################################### +# The last thing to do is make ``pl_func`` a QNode. We can’t decorate ``pl_qfunc`` with +# ``@qml.qnode``, but we can equivalently wrap it with ``qml.QNode`` and supply the device. +# + +pl_circuit = qml.QNode(pl_qfunc, device=qml.device("lightning.qubit", wires=n)) +pl_circuit() + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [0.9807168489852623, 0.961805537883582, 0.961805537883582, 0.961805537883582] +# + +###################################################################### +# What’s really useful about being able to append measurements to the end of a circuit with +# :func:`~pennylane.from_qiskit` is being able to measure something that isn’t available in Qiskit 1.0 but is +# available in PennyLane, like the :doc:`classical shadow ` measurement protocol, for example. In PennyLane, +# you can measure this with :func:`~pennylane.classical_shadow`. +# + +measurements = [qml.classical_shadow(wires=range(n))] +pl_qfunc = qml.from_qiskit(qc, measurements=measurements) + +pl_circuit = qml.QNode(pl_qfunc, device=qml.device("default.qubit", wires=n)) +pl_circuit(shots=5) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [array([[[0, 0, 0, 0, 1], +# [1, 1, 1, 0, 1], +# [0, 1, 0, 0, 0], +# [1, 1, 0, 0, 0], +# [0, 0, 0, 0, 0]], +# +# [[0, 0, 2, 2, 1], +# [2, 0, 2, 0, 1], +# [1, 0, 2, 0, 2], +# [1, 0, 1, 1, 1], +# [1, 0, 2, 0, 2]]], dtype=int8)] +# + +###################################################################### +# And that’s it! Now you have a copy of your work in PennyLane, where you can access +# fully-differentiable and hardware-agnostic quantum programming — the entire quantum programming +# ecosystem is at your disposal 💪. +# + +###################################################################### +# A real-world example +# -------------------- +# +# One of the things you’ll almost certainly encounter in the wild is a cost function to optimize with +# tunable parameters belonging to a circuit — it’s common 😉! PennyLane is a great option for these +# problems because of its end-to-end differentiability and long list of `optimization methods `_ you can +# leverage. So, maybe you have a home-cooked :doc:`variational circuit ` written in Qiskit and you want to +# access PennyLane’s seamless differentiability — yep, the PennyLane-Qiskit plugin has you covered +# here, too 🙌. +# +# To keep things simple, let’s use the following Qiskit circuit as our variational circuit. +# + +from qiskit.circuit import ParameterVector, Parameter + +n = 3 + +angles1 = ParameterVector("phis", n - 1) +angle2 = Parameter("theta") + +qc = QuantumCircuit(3) +qc.rx(angles1[0], [0]) +qc.ry(angles1[1], [1]) +qc.ry(angle2, [2]) + +qc.draw("mpl") + +###################################################################### +# .. rst-class:: image-no-text-wrap +# +# .. figure:: ../_static/demonstration_assets/how_to_use_qiskit_1_with_pennylane/qiskit_parameterized_circuit.png +# :align: center +# :width: 30% +# + +###################################################################### +# This circuit contains two sets of differentiable parameters: ``phis`` (length 2) and ``theta`` +# (scalar). +# +# If we give this Qiskit circuit to ``qml.from_qiskit``, we get a quantum function that can +# subsequently be called within a circuit — it’s as if the gates and operations contained within it +# get transferred over to our new QNode. +# + +import pennylane.numpy as np + +pl_qfunc = qml.from_qiskit(qc) + +dev = qml.device("lightning.qubit", wires=n) + +@qml.qnode(dev) +def differentiable_circuit(phis, theta): + pl_qfunc(phis, theta) + return [qml.expval(qml.Z(i)) for i in range(n)] + +phis = np.array([0.6, 0.7]) +theta = np.array([0.19]) + +print(differentiable_circuit(phis, theta)) +print(qml.draw_mpl(differentiable_circuit)(phis, theta)) + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# [0.8253356149096783, 0.7648421872844883, 0.9820042351172701] +# + +###################################################################### +# .. rst-class:: image-no-text-wrap +# +# .. figure:: ../_static/demonstration_assets/how_to_use_qiskit_1_with_pennylane/pl_real_world_example.png +# :align: center +# :width: 45% +# + +###################################################################### +# You’ll notice, too, that ``pl_func`` has the call signature that you would expect: +# ``pl_qfunc(phis, theta)``, just like the name we gave them when we defined them in Qiskit +# (``ParameterVector("phis", n-1)`` and ``Parameter("theta")``). +# +# With the circuit being immediately differentiable to PennyLane, let’s define a dummy cost function +# that will sum the output of ``differentiable_circuit``. +# + +def cost(phis, theta): + return np.sum(differentiable_circuit(phis, theta)) + +###################################################################### +# Now we’re in business and can optimize! You can use any suitable optimizer in PennyLane that you +# like, and by calling its ``step_and_cost`` method you can access the updated parameters and cost +# function value after each optimization step. +# + +opt = qml.AdamOptimizer(0.1) + +for i in range(100): + (phis, theta), new_loss = opt.step_and_cost(cost, phis, theta) + +print(f"Optimized parameters: phis = {phis}, theta = {theta}") +print(f"Optimized cost function value: {new_loss}") + +###################################################################### +# .. rst-class:: sphx-glr-script-out +# +# .. code-block:: none +# +# Optimized parameters: phis = [3.12829384 3.12823583], theta = [3.1310224] +# Optimized cost function val: -2.999796472821245 +# + +###################################################################### +# As we expect, the minimum value that our cost function can take is :math:`-3` when all angles of +# rotation are :math:`\pi` (all qubits are rotated into the :math:`\vert 1 \rangle` state). Of course, +# this is just a toy example of an easy optimization problem. But, you can apply this process to a +# larger, more complicated circuit ansatze without worries. +# + +###################################################################### +# Further resources +# ----------------- +# +# There’s so much more to learn about what’s possible in PennyLane, and if you’re coming from Qiskit +# you’re in good hands! The `PennyLany-Qiskit plugin `__ is your personal chaperone to the PennyLane +# ecosystem. You can dive deeper into what’s possible with the PennyLane-Qiskit plugin by visiting the +# plugin homepage and, in the +# mean time, if you have any questions about the plugin, PennyLane, or even Qiskit, drop a question on +# our `Discussion Forum `__ and we’ll promptly respond. +# +# Now that you’ve used PennyLane, every road in the wonderful world of quantum programming SDKs is +# open with no set speed limits 🏎️. Explore our website to see +# the latest and greatest `PennyLane features `__, `Demos `__ and our `blog posts `__, and follow us on +# `LinkedIn `__ or `X (formerly +# Twitter) `__ to stay updated! +# + +###################################################################### +# About the author +# ---------------- +# .. include:: ../_static/authors/isaac_de_vlugt.txt +#