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structure.py
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structure.py
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import copy, random, math
from collections import namedtuple
from common import print_err
from common import bqpjson_version
class QPUAssignment(object):
def __init__(self, qpu_config, spins={}, identifier=0, description=None):
self.qpu_config = qpu_config
self.spins = spins
self.identifier = identifier
self.description = description
for k, v in self.spins.items():
assert(k in self.qpu_config.qpu.sites)
assert(v == -1 or v == 1)
active_sites = self.qpu_config.active_sites()
assert(len(self.spins) == len(active_sites))
for site in active_sites:
assert(site in spins.keys())
def eval(self):
energy = sum([field*self.spins[site] for site, field in self.qpu_config.fields.items()])
#print(energy)
for coupler, coupling in self.qpu_config.couplings.items():
energy += coupling*self.spins[coupler[0]]*self.spins[coupler[1]]
#print(coupling*self.spins[coupler[0]]*self.spins[coupler[1]])
return self.qpu_config.scale*(energy + self.qpu_config.offset)
def build_dict(self, zeros=False):
sorted_sites = sorted(self.spins.keys(), key=lambda x: x.index)
assignment = [{'id':site.index, 'value':self.spins[site]} for site in sorted_sites]
solution = {
'id':self.identifier,
'assignment':assignment,
'evaluation':self.eval()
}
if self.description != None:
solution['description'] = self.description
data_dict = self.qpu_config.build_dict(zeros)
data_dict['solutions'] = [solution]
return data_dict
def __str__(self):
return 'spins: '+\
' '.join([str(site)+':'+str(value) for site, value in self.spins.items()])
class QPUConfiguration(object):
def __init__(self, qpu, fields={}, couplings={}, offset=0.0, unitless=True):
scaled_fields, scaled_couplings, scaled_offset, scale = _rescale(fields, couplings, offset, qpu.site_range, qpu.coupler_range)
filtered_fields = {k:v for k,v in scaled_fields.items() if v != 0.0}
filtered_couplings = {k:v for k,v in scaled_couplings.items() if v != 0.0}
self.qpu = qpu
self.fields = filtered_fields
self.couplings = filtered_couplings
self.offset = scaled_offset
self.scale = 1.0
if not unitless:
self.scale = scale
for k, v in self.fields.items():
assert(qpu.site_range.lb <= v and qpu.site_range.ub >= v)
assert(k in qpu.sites)
for k, v in self.couplings.items():
assert(qpu.coupler_range.lb <= v and qpu.coupler_range.ub >= v)
assert(k in qpu.couplers)
def active_sites(self):
active = set(self.fields.keys())
active |= set([key[0] for key in self.couplings.keys()])
active |= set([key[1] for key in self.couplings.keys()])
return active
def build_dict(self, zeros=False):
sorted_sites = sorted(self.active_sites(), key=lambda x: x.index)
quadratic_terms_data = []
for (i,j) in sorted(self.couplings.keys(), key=lambda x:(x[0].index, x[1].index)):
v = self.couplings[(i,j)]
if not zeros:
assert(v != 0)
quadratic_terms_data.append({'id_tail':i.index, 'id_head':j.index, 'coeff':v})
linear_terms_data = []
for k in sorted(self.fields.keys(), key=lambda x: x.index):
v = self.fields[k]
if not zeros:
assert(v != 0)
linear_terms_data.append({'id':k.index, 'coeff':v})
data_dict = {
'version': bqpjson_version,
'id': random.randint(0, 2**31 - 1),
'variable_domain': 'spin',
'variable_ids':[site.index for site in sorted_sites],
'scale': self.scale,
'offset': self.offset,
'linear_terms':linear_terms_data,
'quadratic_terms':quadratic_terms_data
}
return data_dict
def __str__(self):
return 'fields: '+\
' '.join([str(site)+':'+str(value) for site, value in self.fields.items()]) +\
'\ncouplings: '+' '.join(['('+str(i)+', '+str(j)+'):'+str(value) for (i,j), value in self.couplings.items()])
def _rescale(fields, couplings, offset, site_range, coupler_range):
assert(site_range.lb + site_range.ub == 0.0)
assert(coupler_range.lb + coupler_range.ub == 0.0)
scaling_factor = 1.0
scale = 1.0
for field in fields.values():
if field != 0:
if field < site_range.lb:
scaling_factor = min(scaling_factor, site_range.lb/float(field))
if field > site_range.ub:
scaling_factor = min(scaling_factor, site_range.ub/float(field))
for coupling in couplings.values():
if coupling != 0:
if coupling < coupler_range.lb:
scaling_factor = min(scaling_factor, coupler_range.lb/float(coupling))
if coupling > coupler_range.ub:
scaling_factor = min(scaling_factor, coupler_range.ub/float(coupling))
if scaling_factor < 1.0:
print_err('info: rescaling field to {} and couplings to {} with scaling factor {}'.format(site_range, coupler_range, scaling_factor))
fields = {k:v*scaling_factor for k,v in fields.items()}
couplings = {k:v*scaling_factor for k,v in couplings.items()}
offset = offset*scaling_factor
scale = 1/scaling_factor
return fields, couplings, offset, scale
ChimeraCoordinate = namedtuple('ChimeraCordinate', ['row', 'col'])
Range = namedtuple('Range', ['lb', 'ub'])
class ChimeraQPU(object):
def __init__(self, sites, couplers, cell_size, chimera_degree, site_range, coupler_range, chimera_degree_view = None, chip_id = None, endpoint = None, solver_name = None):
if chimera_degree_view == None:
self.chimera_degree_view = chimera_degree
else:
self.chimera_degree_view = chimera_degree_view
self.cell_size = int(cell_size)
self.chip_id = chip_id
self.endpoint = endpoint
self.solver_name = solver_name
self.sites = set([ChimeraSite(site, chimera_degree) for site in sites])
site_lookup = { cn.index : cn for cn in self.sites }
self.couplers = set([(site_lookup[i],site_lookup[j]) for i,j in couplers])
self.chimera_degree = int(chimera_degree)
self.site_range = site_range
self.coupler_range = coupler_range
self.chimera_cells = set()
self.chimera_cell_sites = {}
for site in self.sites:
self.chimera_cells.add(site.chimera_cell)
if site.chimera_cell not in self.chimera_cell_sites:
self.chimera_cell_sites[site.chimera_cell] = set([])
self.chimera_cell_sites[site.chimera_cell].add(site)
#print(self.chimera_cell_sites)
for i,j in couplers:
assert(i in sites)
assert(j in sites)
for i,j in couplers:
assert(i != j)
def chimera_degree_filter(self, chimera_degree_view):
assert(chimera_degree_view >= 1)
filtered_sites = set([n.index for n in self.sites if n.is_chimera_degree(chimera_degree_view)])
filtered_couplers = [(i.index, j.index) for i,j in self.couplers if (i.index in filtered_sites and j.index in filtered_sites)]
return ChimeraQPU(filtered_sites, filtered_couplers, self.cell_size, self.chimera_degree, self.site_range, self.coupler_range, chimera_degree_view, self.chip_id, self.endpoint, self.solver_name)
def cell_filter(self, max_cell):
assert(max_cell >= 1)
# TODO add warning if max_cell is larger than chimera_degree_view**2
chimera_rows = max(s.chimera_row for s in self.sites)+1
cell_distances = {}
for s in self.sites:
cell_distances[s.chimera_cell] = (s.chimera_cell_distance, s.chimera_row)
cells = sorted(cell_distances, key=cell_distances.get)
cells = set(cells[:max_cell])
filtered_sites = set([n.index for n in self.sites if n.chimera_cell in cells])
filtered_couplers = [(i.index, j.index) for i,j in self.couplers if (i.index in filtered_sites and j.index in filtered_sites)]
return ChimeraQPU(filtered_sites, filtered_couplers, self.cell_size, self.chimera_degree, self.site_range, self.coupler_range, self.chimera_degree_view, self.chip_id, self.endpoint, self.solver_name)
def chimera_cell_box_filter(self, chimera_cell_1, chimera_cell_2):
chimera_rows = (chimera_cell_1[0], chimera_cell_2[0])
chimera_columns = (chimera_cell_1[1], chimera_cell_2[1])
assert(chimera_rows[0] >= 0 and chimera_rows[0] <= self.chimera_degree_view)
assert(chimera_rows[1] >= 0 and chimera_rows[1] <= self.chimera_degree_view)
assert(chimera_rows[0] <= chimera_rows[1])
assert(chimera_columns[0] >= 0 and chimera_columns[0] <= self.chimera_degree_view)
assert(chimera_columns[1] >= 0 and chimera_columns[1] <= self.chimera_degree_view)
assert(chimera_columns[0] <= chimera_columns[1])
filtered_sites = set([])
for site in self.sites:
if site.chimera_row >= chimera_rows[0] and site.chimera_row <= chimera_rows[1] and \
site.chimera_column >= chimera_columns[0] and site.chimera_column <= chimera_columns[1]:
filtered_sites.add(site.index)
filtered_couplers = [(i.index, j.index) for i,j in self.couplers if (i.index in filtered_sites and j.index in filtered_sites)]
return ChimeraQPU(filtered_sites, filtered_couplers, self.cell_size, self.chimera_degree, self.site_range, self.coupler_range, self.chimera_degree_view, self.chip_id, self.endpoint, self.solver_name)
def spin_filter(self, spin_set):
spin_set = set(spin_set)
filtered_sites = set([])
for site in self.sites:
if site.index in spin_set:
filtered_sites.add(site.index)
filtered_couplers = []
for i,j in self.couplers:
if (i.index in filtered_sites and j.index in filtered_sites):
coupler = (i.index,j.index)
filtered_couplers.append(coupler)
return ChimeraQPU(filtered_sites, filtered_couplers, self.cell_size, self.chimera_degree, self.site_range, self.coupler_range, self.chimera_degree_view, self.chip_id, self.endpoint, self.solver_name)
def coupler_filter(self, coupler_set):
coupler_sites = set([])
for (i,j) in coupler_set:
coupler_sites.add(i)
coupler_sites.add(j)
filtered_sites = set([])
for site in self.sites:
if site.index in coupler_sites:
filtered_sites.add(site.index)
filtered_couplers = []
for i,j in self.couplers:
if (i.index in filtered_sites and j.index in filtered_sites):
coupler = (i.index, j.index)
if coupler in coupler_set:
filtered_couplers.append(coupler)
if len(filtered_couplers) != len(coupler_sites):
print_err('warning: given a coupler set of size {} but found only {} active couplings from this set'.format(len(coupler_sites), len(filtered_couplers)))
filtered_sites = set([])
for (i,j) in filtered_couplers:
filtered_sites.add(i)
filtered_sites.add(j)
return ChimeraQPU(filtered_sites, filtered_couplers, self.cell_size, self.chimera_degree, self.site_range, self.coupler_range, self.chimera_degree_view, self.chip_id, self.endpoint, self.solver_name)
def chimera_cell(self, chimera_coordinate):
return self.chimera_cell_coordinates(chimera_coordinate.row, chimera_coordinate.col)
def chimera_cell_coordinates(self, chimera_row, chimera_column):
assert(chimera_row > 0 and chimera_row <= self.chimera_degree_view)
assert(chimera_column > 0 and chimera_column <= self.chimera_degree_view)
return (chimera_row-1)*(self.chimera_degree) + (chimera_column-1)
def __str__(self):
return 'sites: '+\
' '.join([str(site) for site in self.sites])+'\ncouplers: '+\
' '.join(['('+str(i)+', '+str(j)+')' for i,j in self.couplers])
class ChimeraSite(object):
def __init__(self, index, chimera_degree, unit_cell_size = 8):
self.index = index
self.chimera_cell = self.index//unit_cell_size
self.chimera_cell_row = (self.index%unit_cell_size)//(unit_cell_size/2)
self.chimera_row = self.chimera_cell//chimera_degree
self.chimera_column = self.chimera_cell%chimera_degree
self.chimera_cell_distance = math.sqrt(self.chimera_row**2 + self.chimera_column**2)
def is_chimera_degree(self, chimera_degree):
return self.chimera_row+1 <= chimera_degree and self.chimera_column+1 <= chimera_degree
def __str__(self):
return str(self.index)
# required so sorting works properly and problem generation is consistent
def __lt__(self, other):
return self.index < other.index