mirror of https://github.com/m-labs/artiq.git
103 lines
3.1 KiB
Python
103 lines
3.1 KiB
Python
import numpy as np
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from artiq import *
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# data is usually precomputed offline
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transport_data = dict(
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t=np.linspace(0, 10, 101), # waveform time
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u=np.random.randn(101, 4*3*3), # waveform data,
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# 4 devices, 3 board each, 3 dacs each
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)
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class Transport(EnvExperiment):
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"""Transport"""
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def build(self):
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self.attr_device("core")
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self.attr_device("bd")
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self.attr_device("bdd")
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self.attr_device("pmt")
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self.attr_device("electrodes")
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self.attr_argument("wait_at_stop", FreeValue(100*us))
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self.attr_argument("speed", FreeValue(1.5))
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self.attr_argument("repeats", FreeValue(100))
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self.attr_argument("nbins", FreeValue(100))
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def calc_waveforms(self, stop):
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t = transport_data["t"][:stop]*self.speed
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u = transport_data["u"][:stop]
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self.electrodes.disarm()
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self.tf = self.electrodes.create_frame()
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self.tf.create_segment(t, u, name="to_stop")
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# append the reverse transport (from stop to 0)
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# both durations are the same in this case
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self.tf.create_segment(t[-1] - t[::-1], u[::-1], name="from_stop")
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# distributes frames to the sub-devices in CompoundPDQ2
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# and uploads them
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self.electrodes.arm()
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@kernel
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def cool(self):
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with parallel:
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self.bd.pulse(200*MHz, 1*ms)
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self.bdd.pulse(300*MHz, 1*ms)
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self.bd.pulse(210*MHz, 100*us)
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@kernel
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def transport(self):
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# selects transport frame
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# triggers pdqs to start transport frame segment
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# plays the transport waveform from 0 to stop
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# delay()s the core by the duration of the waveform segment
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self.tf.to_stop.advance()
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# leaves the ion in the dark at the transport endpoint
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delay(self.wait_at_stop)
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# transport back (again: trigger, delay())
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# segments can only be advance()ed in order
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# since this is the last segment, pdq will go back to jump table
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self.tf.from_stop.advance()
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@kernel
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def detect(self):
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with parallel:
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self.bd.pulse(220*MHz, 100*us)
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self.pmt.gate_rising(100*us)
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self.bd.on(200*MHz)
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self.bdd.on(300*MHz)
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return self.pmt.count()
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@kernel
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def one(self):
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self.cool()
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self.transport()
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return self.detect()
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@kernel
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def repeat(self):
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self.histogram = [0 for _ in range(self.nbins)]
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for i in range(self.repeats):
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n = self.one()
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if n >= self.nbins:
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n = self.nbins - 1
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self.histogram[n] += 1
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def scan(self, stops):
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for s in stops:
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self.histogram = []
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# non-kernel, build frames
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# could also be rpc'ed from repeat()
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self.calc_waveforms(s)
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# kernel part
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self.repeat()
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# live update 2d plot with current self.histogram
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# broadcast(s, self.histogram)
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def run(self):
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# scan transport endpoint
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stops = range(10, len(transport_data["t"]), 10)
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self.scan(stops)
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