LeapHybridSampler multiple samples

Hi everyone,

I am using LeapHybridSampler() to solve an optimization problem: I look for the solutions that minimize a given Ising Hamiltonian and I would like to collect some statistics on these solutions. 

I was wondering if it is possible to collect many samples without having to call many times the sample_ising function. Moreover, because I have to solve the same minimization problem many times, is it possible to reduce the total charge time (like reducing some loading time)?

Best regards,




1 comment
  • Hi Cristian,

    Thank you for reaching out.  The problem upload time is not charged, however, it's possible to bypass the problem upload. Please look at the following example: 

    # This uses the underlying dwave-cloud-client infrastructure to bypass 
    # the problem upload. 
    import dimod 
    from dwave.system import LeapHybridSampler 
    num_submissions = 5 
    time_limit = 5 
    bqm = dimod.BQM({0: 362781.0}, {}, 0.0, 'BINARY') 
    sampler = LeapHybridSampler() 
    # upload the problem and get the resulting id from the returned Future 
    problem_id = sampler.solver.upload_problem(bqm.to_file()).result() 
    # submit the id multiple times with the same timelimit 
    samplesets = [] 
    for _ in range(num_submissions): 
        future = sampler.solver.sample_bqm(problem_id, time_limit=time_limit) 
        samplesets.append(future.sampleset)  # nonblocking 
    # combine all of the returned samplesets into one (blocking) 
    combined_sampleset = dimod.concatenate(samplesets) 
    # get the best feasible 
    best_sampleset = combined_sampleset.lowest() 

    Please let us know if you have any questions. 

    Best Regards,


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