Upgrade tket to solve types-pkg-resources dependancy. Also required t…

…he 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

@@ -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()