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(AutoContext): bd = Device("dds") bdd = Device("dds") pmt = Device("ttl_in") electrodes = Device("pdq") repeats = Parameter(100) nbins = Parameter(100) wait_at_stop = Parameter(100*us) speed = Parameter(1.5) 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)