def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""Perform the pass's operation, see BasePass for more info."""
start = 'left' if self.start_from_left else 'right'
_logger.debug(f'Starting scan gate removal from {start}.')
target = circuit.get_unitary()
circuit_copy = circuit.copy()
reverse_iter = not self.start_from_left
for cycle, op in circuit.operations_with_cycles(reverse=reverse_iter):
if not self.collection_filter(op):
_logger.debug(f'Skipping operation {op} at cycle {cycle}.')
continue
_logger.info(f'Attempting removal of operation at cycle {cycle}.')
_logger.debug(f'Operation: {op}')
working_copy = circuit_copy.copy()
# If removing gates from the left, we need to track index changes.
if self.start_from_left:
idx_shift = circuit.get_num_cycles()
idx_shift -= working_copy.get_num_cycles()
cycle -= idx_shift
working_copy.pop((cycle, op.location[0]))
working_copy.instantiate(target, **self.instantiate_options)
if self.cost(working_copy, target) < self.success_threshold:
_logger.info('Successfully removed operation.')
circuit_copy = working_copy
circuit.become(circuit_copy)
def test_random_batch_remove(self) -> None:
num_gates = 200
num_q = 10
circ = Circuit(num_q)
for _ in range(num_gates):
a = randint(0, num_q - 1)
b = randint(0, num_q - 1)
if a == b:
b = (b + 1) % num_q
circ.append_gate(CNOTGate(), [a, b])
ScanPartitioner(2).run(circ, {})
points = []
ops = []
for cycle, op in circ.operations_with_cycles():
point = (cycle, op.location[0])
ops.append(Operation(CNOTGate(), op.location))
points.append(point)
circ.batch_replace(points, ops)
for op in circ:
assert isinstance(op.gate, CNOTGate)
def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""Perform the pass's operation, see BasePass for more info."""
_logger.debug('Converting PauliGates to U3Gates.')
for cycle, op in circuit.operations_with_cycles():
if isinstance(op.gate, PauliGate) and len(op.location, ) == 1:
# Convert to SU(2)
unitary = op.get_unitary().get_numpy()
mag = np.linalg.det(unitary)**(-1 / 2)
special_unitary = mag * unitary
a = np.angle(special_unitary[1, 1])
b = np.angle(special_unitary[1, 0])
# Get angles
theta = float(
np.arctan2(
np.abs(special_unitary[1, 0]),
np.abs(special_unitary[0, 0]),
), ) * 2
phi = (a + b)
lamb = (a - b)
# Replace
point = CircuitPoint(cycle, op.location[0])
circuit.replace_gate(
point,
U3Gate(),
op.location,
[theta, phi, lamb],
)
def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""Perform the pass's operation, see BasePass for more info."""
# Collect CircuitGate blocks
blocks: list[tuple[CircuitPoint, Operation]] = []
for cycle, op in circuit.operations_with_cycles():
if isinstance(op.gate, CircuitGate):
blocks.append((cycle, op))
# If a MachineModel is provided in the data dict, it will be used.
# Otherwise all-to-all connectivity is assumed.
model = None
if 'machine_model' in data:
model = data['machine_model']
if (not isinstance(model, MachineModel)
or model.num_qudits < circuit.get_size()):
_logger.warning(
'MachineModel not specified or invalid;'
' defaulting to all-to-all.', )
model = MachineModel(circuit.get_size())
subdata = data.copy()
# Perform work
points: list[CircuitPoint] = []
ops: list[Operation] = []
for cycle, op in blocks:
gate: CircuitGate = op.gate
subcircuit = gate._circuit.copy()
subcircuit.set_params(op.params)
subnumbering = {op.location[i]: i for i in range(len(op.location))}
subdata['machine_model'] = MachineModel(
len(op.location),
model.get_subgraph(op.location, subnumbering),
)
for loop_pass in self.loop_body:
loop_pass.run(circuit, subdata)
if self.replace_filter(subcircuit, op):
points.append(CircuitPoint(cycle, op.location[0]))
ops.append(
Operation(
CircuitGate(subcircuit, True),
op.location,
subcircuit.get_params(),
), )
# TODO: Load freshly written data from subdata into data
circuit.batch_replace(points, ops)
def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""
Partition gates in a circuit into a series of CircuitGates.
Args:
circuit (Circuit): Circuit to be partitioned.
data (dict[str,Any]): Optional data unique to specific run.
"""
if self.block_size > circuit.get_size():
_logger.warning(
'Configured block size is greater than circuit size; '
'blocking entire circuit.', )
circuit.fold({
qudit_index: (0, circuit.get_num_cycles())
for qudit_index in range(circuit.get_size())
})
return
# If a MachineModel is provided in the data dict, it will be used.
# Otherwise all-to-all connectivity is assumed.
model = None
if 'machine_model' in data:
model = data['machine_model']
if (not isinstance(model, MachineModel)
or model.num_qudits < circuit.get_size()):
_logger.warning(
'MachineModel not specified or invalid;'
' defaulting to all-to-all.', )
model = MachineModel(circuit.get_size())
# Find all connected, `block_size`-sized groups of qudits
# NOTE: This assumes circuit and topology qudit numbers are equal
qudit_groups = model.get_locations(self.block_size)
# Prune unused qudit groups
used_qudits = [
q for q in range(circuit.get_size())
if not circuit.is_qudit_idle(q)
]
for qudit_group in qudit_groups:
if all([q not in used_qudits for q in qudit_group]):
qudit_groups.remove(qudit_group)
# divider splits the circuit into partitioned and unpartitioned spaces.
active_qudits = circuit.get_active_qudits()
num_cycles = circuit.get_num_cycles()
divider = [
0 if q in active_qudits else num_cycles
for q in range(circuit.get_size())
]
# Form regions until there are no more gates to partition
regions: list[CircuitRegion] = []
while any(cycle < num_cycles for cycle in divider):
# Move past/skip any gates that are larger than block size
qudits_to_increment: list[int] = []
for qudit, cycle in enumerate(divider):
if qudit in qudits_to_increment or cycle >= num_cycles:
continue
if not circuit.is_point_idle((cycle, qudit)):
op = circuit[cycle, qudit]
if len(op.location) > self.block_size:
if all(divider[q] == cycle for q in op.location):
qudits_to_increment.extend(op.location)
_logger.warning(
'Skipping gate larger than block size.', )
if len(qudits_to_increment) > 0:
regions.append(
CircuitRegion(
{
qudit: (divider[qudit], divider[qudit])
for qudit in qudits_to_increment
}, ), )
for qudit in qudits_to_increment:
divider[qudit] += 1
# Skip any idle qudit-cycles
amount_to_add_to_each_qudit = [
0 for _ in range(circuit.get_size())
]
for qudit, cycle in enumerate(divider):
while (cycle < num_cycles and circuit.is_point_idle(
(cycle, qudit))):
amount_to_add_to_each_qudit[qudit] += 1
cycle += 1
for qudit, amount in enumerate(amount_to_add_to_each_qudit):
divider[qudit] += amount
# Find the scores of the qudit groups.
best_score = None
best_region = None
for qudit_group in qudit_groups:
ops_and_cycles = circuit.operations_with_cycles(
qudits_or_region=CircuitRegion({
qudit_index: (divider[qudit_index], num_cycles)
for qudit_index in qudit_group
}), )
in_qudits = list(q for q in qudit_group)
stopped_cycles = {q: num_cycles for q in qudit_group}
score = 0
for cycle, op in ops_and_cycles:
if len(op.location.union(in_qudits)) != len(in_qudits):
for qudit_index in op.location.intersection(in_qudits):
stopped_cycles[qudit_index] = cycle
in_qudits.remove(qudit_index)
else:
if len(op.location) > 1:
score += self.multi_gate_score
else:
score += self.single_gate_score
if len(in_qudits) == 0:
break
if best_score is None or score > best_score:
best_score = score
best_region = CircuitRegion({
qudit: (
divider[qudit],
# Might have errors if below is removed
stopped_cycles[qudit] - 1,
)
for qudit in qudit_group
# This statement
# if stopped_cycles[qudit] - 1 >= divider[qudit]
})
if best_score is None or best_region is None:
raise RuntimeError('No valid block found.')
_logger.info('Found block with score: %d.' % (best_score))
regions.append(best_region)
# Update divider
for qudit_index in best_region:
divider[qudit_index] = best_region[qudit_index].upper + 1
# Fold the circuit
folded_circuit = Circuit(circuit.get_size(), circuit.get_radixes())
# Option to keep a block's idle qudits as part of the CircuitGate
if 'keep_idle_qudits' in data and data['keep_idle_qudits'] is True:
for region in regions:
small_region = circuit.downsize_region(region)
cgc = circuit.get_slice(small_region.points)
if len(region.location) > len(small_region.location):
for i in range(len(region.location)):
if region.location[i] not in small_region.location:
cgc.insert_qudit(i)
folded_circuit.append_gate(
CircuitGate(cgc, True),
sorted(list(region.keys())),
list(cgc.get_params()),
)
else:
for region in regions:
region = circuit.downsize_region(region)
if 0 < len(region) <= self.block_size:
cgc = circuit.get_slice(region.points)
folded_circuit.append_gate(
CircuitGate(cgc, True),
sorted(list(region.keys())),
list(cgc.get_params()),
)
else:
folded_circuit.extend(circuit[region])
circuit.become(folded_circuit)
def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""
Partition gates in a circuit into a series of CircuitGates.
Args:
circuit (Circuit): Circuit to be partitioned.
data (dict[str,Any]): Optional data unique to specific run.
"""
if self.block_size > circuit.get_size():
_logger.warning(
'Configured block size is greater than circuit size; '
'blocking entire circuit.', )
circuit.fold({
qudit_index: (0, circuit.get_num_cycles())
for qudit_index in range(circuit.get_size())
})
return
# If a MachineModel is provided in the data dict, it will be used.
# Otherwise all-to-all connectivity is assumed.
model = None
if 'machine_model' in data:
model = data['machine_model']
if (not isinstance(model, MachineModel)
or model.num_qudits < circuit.get_size()):
_logger.warning(
'MachineModel not specified or invalid;'
' defaulting to all-to-all.', )
model = MachineModel(circuit.get_size())
# Find all connected, `block_size`-sized groups of qudits
# NOTE: This assumes circuit and topology qudit numbers are equal
qudit_groups = model.get_locations(self.block_size)
num_cycles = circuit.get_num_cycles()
num_qudits_groups = len(qudit_groups)
op_cycles = [[[0] * self.block_size for q_group in qudit_groups]
for cycle in range(num_cycles)]
for cycle, op in circuit.operations_with_cycles():
if len(op.location) > 1:
for q_group_index, q_group in enumerate(qudit_groups):
if all([qudit in q_group for qudit in op.location]):
for qudit in op.location:
op_cycles[cycle][q_group_index][q_group.index(
qudit)] = self.multi_gate_score
else:
for qudit in op.location:
if qudit in q_group:
op_cycles[cycle][q_group_index][q_group.index(
qudit)] = -1
else:
qudit = op.location[0]
for q_group_index, q_group in enumerate(qudit_groups):
if qudit in q_group:
op_cycles[cycle][q_group_index][q_group.index(
qudit)] = self.single_gate_score
max_blocks = []
for q_group_index in range(num_qudits_groups):
block_start = 0
block_ends = [0] * self.block_size
score = 0
for cycle in range(num_cycles):
if cycle:
for qudit in range(self.block_size):
if (op_cycles[cycle - 1][q_group_index][qudit] == -1
and
op_cycles[cycle][q_group_index][qudit] != -1):
max_blocks.append([
score, block_start, block_ends, q_group_index
], )
score = 0
block_start = cycle
block_ends = [cycle + 1] * self.block_size
break
for qudit in range(self.block_size):
if op_cycles[cycle][q_group_index][qudit] != -1:
block_ends[qudit] = cycle + 1
score += op_cycles[cycle][q_group_index][qudit]
max_blocks.append([score, block_start, block_ends, q_group_index])
block_id = -1
max_blocks.sort()
remaining_assignments = circuit.get_size() * num_cycles
block_map = [[-1] * circuit.get_size() for cycle in range(num_cycles)]
while remaining_assignments:
perform_assign = False
if len(max_blocks) == 1:
perform_assign = True
else:
block_start = max_blocks[-1][1]
block_ends = max_blocks[-1][2]
q_group_index = max_blocks[-1][3]
score = 0
for cycle in range(block_start, max(block_ends)):
for qudit in range(self.block_size):
q = qudit_groups[q_group_index][qudit]
if (cycle < block_ends[qudit]
and block_map[cycle][q] == -1):
score += 1
if score < max_blocks[-2][0]:
max_blocks[-1][0] = score
max_blocks.sort()
else:
perform_assign = True
if perform_assign:
block_id += 1
block_start = max_blocks[-1][1]
block_ends = max_blocks[-1][2]
q_group_index = max_blocks[-1][3]
prev_status = None
for cycle in range(block_start, max(block_ends)):
status = [
block_map[cycle][qudit_groups[q_group_index][qudit]]
for qudit in range(self.block_size)
]
if prev_status and len(prev_status) <= len(
status, ) and status != prev_status:
block_id += 1
for qudit in range(self.block_size):
if (cycle < block_ends[qudit] and block_map[cycle][
qudit_groups[q_group_index][qudit]] == -1):
block_map[cycle][qudit_groups[q_group_index]
[qudit]] = block_id
remaining_assignments -= 1
prev_status = status
del max_blocks[-1]
for cycle in range(num_cycles):
if not cycle or block_map[cycle] == block_map[cycle - 1]:
continue
indices = [{}, {}]
for i in range(2):
for qudit in range(circuit.get_size()):
block = block_map[cycle - i][qudit]
if block not in indices[i]:
indices[i][block] = []
indices[i][block].append(qudit)
for prev_blocks, prev_qudits in indices[1].items():
for current_qudits in indices[0].values():
if all([qudit in prev_qudits for qudit in current_qudits]):
for qudit in current_qudits:
block_map[cycle][qudit] = prev_blocks
blocks = {}
for cycle in range(num_cycles):
for qudit in range(circuit.get_size()):
if block_map[cycle][qudit] not in blocks:
blocks[block_map[cycle][qudit]] = {}
blocks[block_map[cycle][qudit]][-1] = cycle
blocks[block_map[cycle][qudit]][qudit] = cycle
block_order = []
for block in blocks.values():
block_order.append([block, block[-1]])
block_order.sort(reverse=True, key=lambda x: x[1])
for block, start_cycle in block_order:
points_in_block = []
for cycle, op in circuit.operations_with_cycles():
qudit = op.location[0]
if (qudit in block and cycle >= start_cycle
and cycle <= block[qudit]):
points_in_block.append((cycle, qudit))
circuit.fold(circuit.get_region(points_in_block))
def run(self, circuit: Circuit, data: dict[str, Any]) -> None:
"""Perform the pass's operation, see BasePass for more info."""
# Collect synthesizable operations
ops_to_syn: list[tuple[int, Operation]] = []
for cycle, op in circuit.operations_with_cycles():
if self.collection_filter(op):
ops_to_syn.append((cycle, op))
# If a MachineModel is provided in the data dict, it will be used.
# Otherwise all-to-all connectivity is assumed.
model = None
if 'machine_model' in data:
model = data['machine_model']
if (
not isinstance(model, MachineModel)
or model.num_qudits < circuit.get_size()
):
_logger.warning(
'MachineModel not specified or invalid;'
' defaulting to all-to-all.',
)
model = MachineModel(circuit.get_size())
sub_data = data.copy()
structure_list: list[Sequence[int]] = []
# Synthesize operations
errors: list[float] = []
points: list[CircuitPoint] = []
new_ops: list[Operation] = []
num_blocks = len(ops_to_syn)
for block_num, (cycle, op) in enumerate(ops_to_syn):
sub_numbering = {op.location[i]: i for i in range(op.size)}
sub_data['machine_model'] = MachineModel(
len(op.location),
model.get_subgraph(op.location, sub_numbering),
)
structure_list.append([op.location[i] for i in range(op.size)])
syn_circuit = self.synthesize(op.get_unitary(), sub_data)
if self.checkpoint_dir is not None:
save_checkpoint(syn_circuit, self.checkpoint_dir, block_num)
if self.replace_filter(syn_circuit, op):
# Calculate errors
new_utry = syn_circuit.get_unitary()
old_utry = op.get_unitary()
error = new_utry.get_distance_from(old_utry)
errors.append(error)
points.append(CircuitPoint(cycle, op.location[0]))
new_ops.append(
Operation(
CircuitGate(syn_circuit, True),
op.location,
list(syn_circuit.get_params()), # TODO: RealVector
),
)
_logger.info(
f'Error in synthesized CircuitGate {block_num+1} of '
f'{num_blocks}: {error}',
)
data['synthesispass_error_sum'] = sum(errors) # TODO: Might be replaced
_logger.info(
'Synthesis pass completed. Upper bound on '
f"circuit error is {data['synthesispass_error_sum']}",
)
if self.checkpoint_dir is not None:
with open(f'{self.checkpoint_dir}/structure.pickle', 'wb') as f:
dump(structure_list, f)
circuit.batch_replace(points, new_ops)
