pub struct BatchParameterOptimizer { /* private fields */ }Expand description
Batch optimizer for parameterized quantum circuits
Implementations§
Source§impl BatchParameterOptimizer
impl BatchParameterOptimizer
Sourcepub fn new(executor: BatchCircuitExecutor, config: OptimizationConfig) -> Self
pub fn new(executor: BatchCircuitExecutor, config: OptimizationConfig) -> Self
Create a new batch parameter optimizer
Sourcepub fn optimize_batch(
&mut self,
circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send + Clone + 'static,
initial_params: &[f64],
cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send + Clone + 'static,
initial_states: &BatchStateVector,
) -> QuantRS2Result<OptimizeResult<f64>>
pub fn optimize_batch( &mut self, circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send + Clone + 'static, initial_params: &[f64], cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send + Clone + 'static, initial_states: &BatchStateVector, ) -> QuantRS2Result<OptimizeResult<f64>>
Optimize parameters for a batch of circuits
Sourcepub fn compute_gradients_batch(
&mut self,
circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send,
params: &[f64],
cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send,
initial_states: &BatchStateVector,
shift: f64,
) -> QuantRS2Result<Vec<f64>>
pub fn compute_gradients_batch( &mut self, circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send, params: &[f64], cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send, initial_states: &BatchStateVector, shift: f64, ) -> QuantRS2Result<Vec<f64>>
Compute gradients using parameter shift rule
Sourcepub fn optimize_parallel_batch(
&mut self,
circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send + Clone + 'static,
initial_param_sets: &[Vec<f64>],
cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send + Clone + 'static,
initial_states: &BatchStateVector,
) -> QuantRS2Result<Vec<OptimizeResult<f64>>>
pub fn optimize_parallel_batch( &mut self, circuit_fn: impl Fn(&[f64]) -> QuantRS2Result<BatchCircuit> + Sync + Send + Clone + 'static, initial_param_sets: &[Vec<f64>], cost_fn: impl Fn(&BatchStateVector) -> f64 + Sync + Send + Clone + 'static, initial_states: &BatchStateVector, ) -> QuantRS2Result<Vec<OptimizeResult<f64>>>
Optimize multiple parameter sets in parallel
Trait Implementations§
Auto Trait Implementations§
impl Freeze for BatchParameterOptimizer
impl !RefUnwindSafe for BatchParameterOptimizer
impl Send for BatchParameterOptimizer
impl Sync for BatchParameterOptimizer
impl Unpin for BatchParameterOptimizer
impl !UnwindSafe for BatchParameterOptimizer
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Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
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fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
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T: Clone,
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impl<T> IntoEither for T
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Converts
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if into_left is true.
Converts self into a Right variant of Either<Self, Self>
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
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impl<T> Pointable for T
Source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
Source§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self from the equivalent element of its
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fn is_in_subset(&self) -> bool
Checks if
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fn to_subset_unchecked(&self) -> SS
Use with care! Same as
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.