Class markov::QuantumWalker

Quantum Algorithm.

Inheritance

markov::ClusterWalker

markov::QuantumWalker

Inherited Members

init_state

get_lowest_state

try_form_clusters

add_difference_evaluations

size

init

try_flip_clusters

calculate_cost_diff

ClusterWalker

save_lowest

calculate_cost_diff

apply_transition

reset_evaluation_counter

get_transition

model

get_costs

set_model

get_states

get_evaluation_counter

memory_estimate

apply_transition

get_transition

add_function_evaluations

compare

get_lowest_cost

configure

render

~Component

Component

get_status

param

get_class_name

Constructors

QuantumWalker()

Create a Metropolis instance with uninitialized model and state.

Declaration

markov::QuantumWalker<Model>::QuantumWalker()

Methods

beta()

Declaration

double markov::QuantumWalker<Model>::beta() const

set_beta()

Declaration

void markov::QuantumWalker<Model>::set_beta(double beta)

bond_probability()

Declaration

double markov::QuantumWalker<Model>::bond_probability() const

set_bond_probability()

Declaration

void markov::QuantumWalker<Model>::set_bond_probability(double bond_prob)

accept()

Decide whether to accept a given cost increase.

Declaration

bool markov::QuantumWalker<Model>::accept(const typename Model::Cost_T&cost_diff, ::utils::RandomGenerator&rng) override

accept_cluster()

Decide whether to accept addition to cluster.

Declaration

bool markov::QuantumWalker<Model>::accept_cluster(::utils::RandomGenerator&rng) override

memory_estimate()

Estimate memory consumtion using model parameters.

Declaration

static size_t markov::QuantumWalker<Model>::memory_estimate(const Model&model)