From a582c1a412a04c92dc9218126192293f44244134 Mon Sep 17 00:00:00 2001 From: jamie Date: Fri, 2 Aug 2024 23:10:17 +0100 Subject: [PATCH] Upgrade tket to solve types-pkg-resources dependancy. Also required the upgrade of qutip, numpy, scipy and lark. Fix tests and small RTCS change in the config from a class to a dict --- examples/plot_pulse_buffer.py | 132 ++ poetry.lock | 1436 ++++++++--------- pyproject.toml | 12 +- .../purr/backends/realtime_chip_simulator.py | 2 +- src/QAT/qat/purr/compiler/runtime.py | 2 +- src/tests/test_qasm.py | 12 +- src/tests/test_qat.py | 2 +- 7 files changed, 798 insertions(+), 800 deletions(-) create mode 100644 examples/plot_pulse_buffer.py diff --git a/examples/plot_pulse_buffer.py b/examples/plot_pulse_buffer.py new file mode 100644 index 000000000..72b0d4009 --- /dev/null +++ b/examples/plot_pulse_buffer.py @@ -0,0 +1,132 @@ +from typing import Iterable + +import numpy as np +from matplotlib import pyplot as plt +from matplotlib import ticker + +from qat.purr.backends.echo import EchoEngine +from qat.purr.backends.live import LiveDeviceEngine +from qat.purr.compiler.devices import Calibratable +from qat.purr.compiler.emitter import QatFile +from qat.purr.compiler.execution import SweepIterator +from qat.purr.compiler.runtime import QuantumRuntime, get_builder +from qat.purr.integrations.qasm import Qasm3Parser + +np.set_printoptions( + edgeitems=3000000, linewidth=100000000, formatter=dict(float=lambda x: "%.3g" % x) +) + +import logging + +logging.disable() + + +class PhysicalBufferPlotEngine(EchoEngine): + def __init__( + self, + model, + target_engine=None, + channels=None, + upconvert=True, + figsize=None, + name=None, + ): + super().__init__(model) + self.target = target_engine or self + self.channels = channels + self.upconvert = upconvert + self.figsize = figsize + self.name = name + + def _execute_on_hardware(self, sweep_iterator: SweepIterator, package: QatFile, *args, **kwargs): + position_map = self.target.create_duration_timeline(package.instructions) + pulse_buffers = self.target.build_pulse_channel_buffers( + position_map, do_upconvert=self.upconvert + ) + buffers = self.target.build_physical_channel_buffers(pulse_buffers) + channels = self.channels or buffers.keys() + + if not isinstance(channels, Iterable): + channels = [channels] + + tot_chan = sum(1 if buffers[channel].any() else 0 for channel in channels ) + print(tot_chan) + + figsize = self.figsize + if figsize is None: + figsize = (8, 3 * tot_chan) + + fig, ax = plt.subplots(tot_chan, 1, figsize=figsize) + for i, channel in enumerate(channels): + if buffers[channel].any(): + dt = self.model.physical_channels[channel].sample_time + t = np.arange(len(buffers[channel])) * dt + ax[i].plot(t, buffers[channel].real, label="Real") + ax[i].plot(t, buffers[channel].imag, label="Imag") + ax[i].legend() + ax[i].set_title(channel) + ax[i].set_xlabel("Time") + ax[i].xaxis.set_major_formatter(ticker.EngFormatter("s")) + ax[i].set_ylabel("Pulse amplitude") + ax[i].yaxis.set_major_formatter(ticker.EngFormatter("V")) + fig.set_tight_layout(True) + if self.name: + plt.savefig(self.name) + + res_bufs = [] + for res in hw.resonators: + res_bufs.append(res.physical_channel.id) + for key, value in buffers.items(): + if key in res_bufs: + tmp_buf = [] + for val in value: + tmp_buf.append(val) + tmp_buf.append(val) + buffers[key] = tmp_buf + + # As we're processing a QASM file the runtime assumes results are needed, so we + # just call the default echo for this. We're immediately throwing them away anyway. + return super()._execute_on_hardware(sweep_iterator, package) + + +def plot_physical_buffers( + builder, + engine: LiveDeviceEngine = None, + channels=None, + upconvert=True, + figsize=None, + name=None, +): + """ + Plot the physical channel buffers generated from a qat instruction builder + Parameters + ---------- + builder: the qat builder object to be plotted + engine: qat execution engine to use to generate buffers. Defaults to Echo hardware engine + channels: physical channel ids for the channels to be plotted. If None, plots all channels. + """ + engine = PhysicalBufferPlotEngine( + builder.model, engine, channels, upconvert, figsize, name + ) + runtime = QuantumRuntime(engine) + runtime.execute(builder) + + +if __name__ == "__main__": + qasm = """ + OPENQASM 3; + include "qelib1.inc"; + defcalgrammar "openpulse"; + qreg q[2]; + creg c[2]; + h q[0]; + cx q[0],q[1]; + measure q -> c; + """ + + hw = Calibratable.load_calibration_from_file("/home/kristianb/farm_fresh_code/whisqrs/qctrl_hw.json") + parser = Qasm3Parser() + builder = parser.parse(get_builder(hw), qasm) + + plot_physical_buffers(builder) + plt.show() \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index fe53071e4..15db4e480 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb"}, + {file = "sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab"}, ] [package.extras] -lint = ["docutils-stubs", "flake8", "mypy"] -test = ["pytest"] +lint = ["mypy", "ruff (==0.5.5)", "types-docutils"] +standalone = ["Sphinx (>=5)"] +test = ["defusedxml (>=0.7.1)", "pytest"] [[package]] name = "sphinxcontrib-serializinghtml" -version = "1.1.5" -description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)." +version = "2.0.0" +description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)" optional = false -python-versions = ">=3.5" +python-versions = ">=3.9" files = [ - {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"}, - {file = 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">=1.2,<3.0", markers = "python_version < \"3.11\""} @@ -4417,25 +4283,25 @@ files = [ [[package]] name = "xarray" -version = "2023.1.0" +version = "2024.7.0" description = "N-D labeled arrays and datasets in Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "xarray-2023.1.0-py3-none-any.whl", hash = "sha256:7e530b1deafdd43e5c2b577d0944e6b528fbe88045fd849e49a8d11871ecd522"}, - {file = "xarray-2023.1.0.tar.gz", hash = "sha256:7bee552751ff1b29dab8b7715726e5ecb56691ac54593cf4881dff41978ce0cd"}, + {file = "xarray-2024.7.0-py3-none-any.whl", hash = "sha256:1b0fd51ec408474aa1f4a355d75c00cc1c02bd425d97b2c2e551fd21810e7f64"}, + {file = "xarray-2024.7.0.tar.gz", hash = "sha256:4cae512d121a8522d41e66d942fb06c526bc1fd32c2c181d5fe62fe65b671638"}, ] [package.dependencies] -numpy = ">=1.20" -packaging = ">=21.3" -pandas = ">=1.3" +numpy = ">=1.23" +packaging = ">=23.1" +pandas = ">=2.0" [package.extras] -accel = ["bottleneck", "flox", "numbagg", "scipy"] -complete = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "matplotlib", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scipy", "seaborn", "zarr"] -docs = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "ipykernel", "ipython", "jupyter-client", "matplotlib", "nbsphinx", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scanpydoc", "scipy", "seaborn", "sphinx-autosummary-accessors", "sphinx-rtd-theme", "zarr"] -io = ["cfgrib", "cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "rasterio", "scipy", "zarr"] +accel = ["bottleneck", "flox", "numbagg", "opt-einsum", "scipy"] +complete = ["xarray[accel,dev,io,parallel,viz]"] +dev = ["hypothesis", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-timeout", "pytest-xdist", "ruff", "xarray[complete]"] +io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "scipy", "zarr"] parallel = ["dask[complete]"] viz = ["matplotlib", "nc-time-axis", "seaborn"] @@ -4456,5 +4322,5 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" -python-versions = ">=3.8.1,<3.11" -content-hash = "42a0058ab7f042e93ce8143d8a5fc1ce35a89a1288f78f51990bdd3389e71ced" +python-versions = ">=3.10,<3.13" +content-hash = "a0ec4014ca233f7fab68e3fcb90d6ba414ceff96c6704ba94b03332cffe6e5b2" diff --git a/pyproject.toml b/pyproject.toml index f8c33a29e..2be6f9806 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,24 +22,24 @@ license = "BSD-3-Clause" [tool.poetry.dependencies] # We're a 3.8 project, but certain dependencies require an upper bound. -python = ">=3.8.1,<3.11" -numpy = "~=1.22.3" +python = ">=3.10,<3.13" +numpy = ">=1.26.4" networkx = "~=2.5" matplotlib = "^3.3.2" logging-config = "~=1.0.4" -qutip = { version = "~=4.6.3", markers = "sys_platform == 'win32' or sys_platform == 'linux'" } +qutip = ">=5.0.3" toml = "^0.10.2" -pytket = "~=1.2.2" +pytket = "1.31.0" qiskit = "^0.45.0" qiskit-optimization = "~=0.4.0" qiskit-ignis = "~=0.7" qiskit-aer = "^0.13.0" -scipy = "^1.8.0" +scipy = ">=1.13.1" pyqir = { version = "^0.8.0a1", allow-prereleases = true } -lark = "^1.1.2" regex = "^2022.6.2" jsonpickle = "^2.2.0" qblox-instruments = "^0.13.0" +lark-parser = "^0.12.0" [tool.poetry.group.dev.dependencies] coverage = "^6.3.2" diff --git a/src/QAT/qat/purr/backends/realtime_chip_simulator.py b/src/QAT/qat/purr/backends/realtime_chip_simulator.py index ff885da37..06e656608 100644 --- a/src/QAT/qat/purr/backends/realtime_chip_simulator.py +++ b/src/QAT/qat/purr/backends/realtime_chip_simulator.py @@ -997,7 +997,7 @@ def _execute_on_hardware( ) options = Options() - options.max_step = 1e-11 + options["max_step"] = 1e-11 # Initial state. rho0 = tensor(*[qb.rho0 for qb in self.model.qubits]) diff --git a/src/QAT/qat/purr/compiler/runtime.py b/src/QAT/qat/purr/compiler/runtime.py index 905704573..ed62e7259 100644 --- a/src/QAT/qat/purr/compiler/runtime.py +++ b/src/QAT/qat/purr/compiler/runtime.py @@ -1,6 +1,6 @@ # SPDX-License-Identifier: BSD-3-Clause # Copyright (c) 2023 Oxford Quantum Circuits Ltd -from collections import Iterable +from collections.abc import Iterable from numbers import Number from typing import List, Optional, TypeVar, Union diff --git a/src/tests/test_qasm.py b/src/tests/test_qasm.py index e3fef885d..db6dde5a4 100644 --- a/src/tests/test_qasm.py +++ b/src/tests/test_qasm.py @@ -917,11 +917,11 @@ def test_example_if(self): def test_move_measurements(self): # We need quite a few more qubits for this test. builder = parse_and_apply_optimiziations("move_measurements.qasm", qubit_count=12) - assert 93378 == len(builder.instructions) + assert 97469 == len(builder.instructions) def test_random_n5_d5(self): builder = parse_and_apply_optimiziations("random_n5_d5.qasm") - assert 5181 == len(builder.instructions) + assert 4957 == len(builder.instructions) def test_ordered_keys(self): builder = parse_and_apply_optimiziations( @@ -949,7 +949,7 @@ def test_valid_arbitrary_gate(self): def test_ecr_intrinsic(self): builder = parse_and_apply_optimiziations("ecr.qasm") assert any(isinstance(inst, CrossResonancePulse) for inst in builder.instructions) - assert 118 == len(builder.instructions) + assert 64 == len(builder.instructions) def test_ecr_already_exists(self): Qasm2Parser().parse(get_builder(self.echo), get_qasm2("ecr_exists.qasm")) @@ -1013,9 +1013,9 @@ def test_measure_merge_example(self): 6, ("R0", "R1", "R2", "R3", "R4", "R5"), ( + (750, 1750), (1750, 2750), (1750, 2750), - (750, 1750), (1750, 2750), (750, 1750), (1750, 2750), @@ -1026,8 +1026,8 @@ def test_measure_merge_move_measurements(self): self._measure_merge_timings( "move_measurements.qasm", 12, - ("R2", "R3", "R10"), - ((565700, 566700), (564700, 565700), (575900, 576900)), + ("R5", "R6", "R9"), + ((579800, 580800), (579800, 580800), (589800, 590800)), ) diff --git a/src/tests/test_qat.py b/src/tests/test_qat.py index 69410448c..90e3fcb69 100644 --- a/src/tests/test_qat.py +++ b/src/tests/test_qat.py @@ -11,7 +11,7 @@ @pytest.mark.parametrize( ("input_string", "file_type", "instruction_length"), - [("ghz.qasm", TestFileType.QASM2, 182)], + [("ghz.qasm", TestFileType.QASM2, 196)], ) def test_all_metrics_are_returned(input_string, file_type, instruction_length): program = get_test_file_path(file_type, input_string)