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D-Wave offers the first public access to a quantum computer

Inside the device is a tube that, when totally functional, consists of a tiny chip super-cooled to 0.015 Kelvin or -459.643 levels Fahrenheit or -273.135 levels Celsius. It's rather awesome to see this strange little chip inside of its supercooled residence. I downloaded and install and also ran many of the demos without a drawback.

@qpu_ha
def variable( P, use_saved_embedding= True):

####################################################################################################.
# obtain circuit.
####################################################################################################.

construction_start_time = time.time().

validate_input( P, variety( 2 ** 6)).

# obtain restriction contentment trouble.
csp = dbc.factories.multiplication _ circuit( 3 ).

# obtain binary square design.
bqm = dbc.stitch( csp, min_classical_gap=.1).

# we understand that multiplication_circuit() has actually developed these variables.
p_vars = [' p0', 'p1', 'p2', 'p3', 'p4', 'p5']
# transform P from decimal to binary.
fixed_variables = dict( zip( reversed( p_vars)," ". style( P))).
fixed_variables = var: int( x) for( var, x) in fixed_variables. products()

# repair item qubits.
for var, worth in fixed_variables. products():.
bqm.fix _ variable( var, worth).

log.debug(' bqm building and construction time: %s', time.time() - construction_start_time).

####################################################################################################.
# run trouble.
####################################################################################################.

sample_time = time.time().

# obtain QPU sampler.
sampler = DWaveSampler( solver_features= dict( online= True, name=' DW_2000Q. *'))
_, target_edgelist, target_adjacency = sampler.structure.

if use_saved_embedding:.
# pack a pre-calculated embedding.
from factoring.embedding import embeddings.
embedding = embeddings [sampler.solver.id] else:.
# obtain the embedding.
embedding = minorminer.find _ embedding( bqm.quadratic, target_edgelist).
if bqm as well as not embedding:.
increase ValueError(" no installing discovered").

# use the embedding to the offered issue to map it to the sampler.
bqm_embedded = dimod.embed _ bqm( bqm, embedding, target_adjacency, 3.0).

# attract examples from the QPU.
kwargs =
if 'num_reads' in sampler.parameters:.
kwargs [' num_reads'] = 50.
if 'answer_mode' in sampler.parameters:.
kwargs [' answer_mode']='pie chart'.
reaction = sampler.sample( bqm_embedded, ** kwargs).

# transform back to the initial issue room.
feedback = dimod.unembed _ feedback( reaction, embedding, source_bqm= bqm).

sampler.client.close().

It's time to open this up to even more wise, interested programmers so they can develop the initial quantum awesome application. Jump's mix of prompt accessibility to live quantum computer systems, along with devices, sources, as well as a neighborhood, will certainly sustain that," claimed Brownell. I've seen whole lots of innovation over the years and also absolutely nothing fairly duplicated the odd frisson linked with connecting right into a quantum computer system.

Inside the equipment is a tube that, when totally functional, consists of a tiny chip super-cooled to 0.015 Kelvin or -459.643 levels Fahrenheit or -273.135 levels Celsius. It's rather awesome to see this strange little chip inside of its supercooled house. I downloaded and install and also ran many of the presentations without a drawback. = 50.
= 'pie chart'.