def compile_sequence(seq, channels=None):
'''
Takes a list of control flow and pulses, and returns aligned blocks
separated into individual abstract channels (wires).
'''
#Find the set of logical channels used here and initialize them
if not channels:
channels = find_unique_channels(seq)
wires = {chan: [] for chan in channels}
for block in normalize(flatten(seq), channels):
# labels and control flow instructions broadcast to all channels
if isinstance(block, (BlockLabel.BlockLabel, ControlFlow.ControlInstruction)):
for chan in channels:
wires[chan] += [copy(block)]
continue
# drop length 0 blocks but push frame change onto previous entry
if block.length == 0:
for chan in channels:
if len(wires[chan]) > 0:
wires[chan][-1] = copy(wires[chan][-1])
wires[chan][-1].frameChange += block.pulses[chan].frameChange
else:
warn("Dropping initial frame change")
continue
# schedule the block
for chan in channels:
# add aligned Pulses (if the block contains a composite pulse, may get back multiple pulses)
wires[chan] += schedule(chan, block.pulses[chan], block.length, block.alignment)
return wires
def collect_specializations(seqs):
'''
Collects function definitions for all targets of Call instructions
'''
targets = [x.target for x in flatten(seqs) if isinstance(x, ControlFlow.Call)]
funcDefs = []
for target in targets:
funcDefs += ControlFlow.qfunction_specialization(target)
return funcDefs
def find_unique_channels(seq):
channels = set([])
for step in flatten(seq):
if not hasattr(step, 'channel'):
continue
if isinstance(step.channel, Channels.Channel):
channels |= set([step.channel])
else:
channels |= set(step.channel)
return channels
def find_unique_channels(seq):
channels = set([])
for step in flatten(seq):
if not hasattr(step, 'channel'):
continue
if isinstance(step.channel, Channels.Channel):
channels |= set([step.channel])
else:
channels |= set(step.channel)
return channels
def collect_specializations(seqs):
'''
Collects function definitions for all targets of Call instructions
'''
targets = [
x.target for x in flatten(seqs) if isinstance(x, ControlFlow.Call)
]
funcDefs = []
for target in targets:
funcDefs += ControlFlow.qfunction_specialization(target)
return funcDefs
def generate_waveforms(physicalWires):
wfs = {ch: {} for ch in physicalWires.keys()}
for ch, wire in physicalWires.items():
for pulse in flatten(wire):
if not isinstance(pulse, PulseSequencer.Pulse):
continue
if pulse.hashshape() not in wfs[ch]:
if pulse.isTimeAmp:
wfs[ch][pulse.hashshape()] = np.ones(1, dtype=np.complex)
else:
wfs[ch][pulse.hashshape()] = pulse.shape
return wfs
def generate_waveforms(physicalWires):
wfs = {ch : {} for ch in physicalWires.keys()}
for ch, wire in physicalWires.items():
for pulse in flatten(wire):
if not isinstance(pulse, PulseSequencer.Pulse):
continue
if pulse.hashshape() not in wfs[ch]:
if pulse.isTimeAmp:
wfs[ch][pulse.hashshape()] = np.ones(1, dtype=np.complex)
else:
wfs[ch][pulse.hashshape()] = pulse.shape
return wfs
def compile_sequence(seq, channels=None):
'''
Takes a list of control flow and pulses, and returns aligned blocks
separated into individual abstract channels (wires).
'''
#Find the set of logical channels used here and initialize them
if not channels:
channels = find_unique_channels(seq)
wires = {chan: [] for chan in channels}
for block in normalize(flatten(seq), channels):
# labels and control flow instructions broadcast to all channels
if isinstance(block,
(BlockLabel.BlockLabel, ControlFlow.ControlInstruction)):
for chan in channels:
wires[chan] += [copy(block)]
continue
# drop length 0 blocks but push frame change onto previous entry
if block.length == 0:
for chan in channels:
if len(wires[chan]) > 0:
wires[chan][-1] = copy(wires[chan][-1])
wires[chan][-1].frameChange += block.pulses[
chan].frameChange
else:
warn("Dropping initial frame change")
continue
# schedule the block
for chan in channels:
# add aligned Pulses (if the block contains a composite pulse, may get back multiple pulses)
wires[chan] += schedule(chan, block.pulses[chan], block.length,
block.alignment)
return wires
