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artiq/examples/master/repository/transport.py

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4.1 KiB
Python

import numpy as np
from artiq import *
# data is usually precomputed offline
transport_data = dict(
t=np.linspace(0, 10, 101), # waveform time
u=np.random.randn(101, 4*3*3), # waveform data,
# 4 devices, 3 board each, 3 dacs each
)
class Transport(AutoDB):
__artiq_unit__ = "Transport"
class DBKeys:
bd = Device()
bdd = Device()
pmt = Device()
electrodes = Device()
wait_at_stop = Parameter(100*us)
speed = Parameter(1.5)
repeats = Argument(100)
nbins = Argument(100)
def prepare(self, stop):
t = transport_data["t"][:stop]*self.speed
u = transport_data["u"][:stop]
# start a new frame
self.tf = self.electrodes.create_frame()
# interpolates t and u and appends the (t, u) segment to the frame
# adds wait-for-trigger to the first line/spline knot
# will also apply offset and gain calibration data
# stores duration and the fact that this segment needs to be triggered
# both (duration and segment triggering flag) to be retrieved during
# kernel compilation, see transport()
self.tf.append(t, u, trigger=True,
name="to_stop")
# append the reverse transport (from stop to 0)
# both durations are the same in this case
self.tf.append(t[-1] - t[::-1], u[::-1], trigger=True,
name="from_stop")
# closes the frame with a wait line before jumping back into
# the jump table so that frame signal can be set before the jump
# also mark the frame as closed and prevent further append()ing
self.tf.close()
# user must pass all frames that are going to be used next
# selects possible frame id based on rtio_frame assignments
# from core device
# distributes frames to the sub-devices in CompoundPDQ2
# and uploads them
# uploading is ARM_DIS, writing, ARM_EN
self.electrodes.prepare(self.tf)
@kernel
def cool(self):
with parallel:
self.bd.pulse(200*MHz, 1*ms)
self.bdd.pulse(300*MHz, 1*ms)
self.bd.pulse(210*MHz, 100*us)
@kernel
def transport(self):
# ensures no frame is currently being actively played
# set rtio frame select signal to frame id
# rtio trigger jump into transport frame
# (does not advance the timeline)
self.tf.begin()
# triggers pdqs to start transport frame segment
# plays the transport waveform from 0 to stop
# delay()s the core by the duration of the waveform segment
self.tf.to_stop.advance()
# leaves the ion in the dark at the transport endpoint
delay(self.wait_at_stop)
# transport back (again: trigger, delay())
# segments can only be advance()ed in order
self.tf.from_stop.advance()
# ensures all segments have been advanced() through, must leave pdq
# in a state where the next frame can begin()
self.tf.finish()
@kernel
def detect(self):
with parallel:
self.bd.pulse(220*MHz, 100*us)
self.pmt.gate_rising(100*us)
self.bd.on(200*MHz)
self.bdd.on(300*MHz)
return self.pmt.count()
@kernel
def one(self):
self.cool()
self.transport()
return self.detect()
@kernel
def repeat(self):
self.histogram = [0 for _ in range(self.nbins)]
for i in range(self.repeats):
n = self.one()
if n >= self.nbins:
n = self.nbins - 1
self.histogram[n] += 1
def scan(self, stops):
for s in stops:
self.histogram = []
# non-kernel, calculate waveforms, build frames
# could also be rpc'ed from repeat()
self.prepare(s)
# kernel part
self.repeat()
# live update 2d plot with current self.histogram
# broadcast(s, self.histogram)
def run(self):
# scan transport endpoint
stops = range(10, len(transport_data["t"]), 10)
self.scan(stops)