use crate::sampler::{SampleResult, Sampler, SamplerError, SamplerResult};
use scirs2_core::ndarray::Array2;
use std::collections::HashMap;
use std::time::Duration;
#[derive(Debug, Clone)]
pub struct FujitsuConfig {
pub endpoint: String,
pub api_key: String,
pub annealing_time: u32,
pub num_replicas: u32,
pub offset_increment: f64,
pub temperature_start: f64,
pub temperature_end: f64,
pub temperature_mode: TemperatureMode,
}
#[derive(Debug, Clone)]
pub enum TemperatureMode {
Linear,
Exponential,
Adaptive,
}
impl Default for FujitsuConfig {
fn default() -> Self {
Self {
endpoint: "https://api.da.fujitsu.com/v2".to_string(),
api_key: String::new(),
annealing_time: 1000,
num_replicas: 16,
offset_increment: 100.0,
temperature_start: 1000.0,
temperature_end: 0.1,
temperature_mode: TemperatureMode::Exponential,
}
}
}
pub struct FujitsuDigitalAnnealerSampler {
config: FujitsuConfig,
max_variables: usize,
connectivity: ConnectivityType,
}
#[derive(Debug, Clone)]
pub enum ConnectivityType {
FullyConnected,
KingsGraph,
Chimera { unit_size: usize },
}
impl FujitsuDigitalAnnealerSampler {
pub const fn new(config: FujitsuConfig) -> Self {
Self {
config,
max_variables: 8192, connectivity: ConnectivityType::FullyConnected,
}
}
pub const fn with_connectivity(mut self, connectivity: ConnectivityType) -> Self {
self.connectivity = connectivity;
self
}
fn submit_problem(&self, _qubo: &Array2<f64>) -> Result<String, SamplerError> {
Ok("job_12345".to_string())
}
fn get_results(
&self,
_job_id: &str,
_timeout: Duration,
) -> Result<Vec<DASolution>, SamplerError> {
Ok(vec![DASolution {
configuration: vec![0; self.max_variables],
energy: -100.0,
frequency: 10,
}])
}
fn to_sample_result(
&self,
solution: &DASolution,
var_map: &HashMap<String, usize>,
) -> SampleResult {
let mut assignments = HashMap::new();
for (var_name, &index) in var_map {
if index < solution.configuration.len() {
assignments.insert(var_name.clone(), solution.configuration[index] == 1);
}
}
SampleResult {
assignments,
energy: solution.energy,
occurrences: solution.frequency as usize,
}
}
}
#[derive(Debug, Clone)]
struct DASolution {
configuration: Vec<u8>,
energy: f64,
frequency: u32,
}
impl Sampler for FujitsuDigitalAnnealerSampler {
fn run_qubo(
&self,
model: &(Array2<f64>, HashMap<String, usize>),
shots: usize,
) -> SamplerResult<Vec<SampleResult>> {
let (qubo, var_map) = model;
if qubo.shape()[0] > self.max_variables {
return Err(SamplerError::InvalidModel(format!(
"Problem size {} exceeds Digital Annealer limit of {}",
qubo.shape()[0],
self.max_variables
)));
}
let job_id = self.submit_problem(qubo)?;
let timeout = Duration::from_millis(self.config.annealing_time as u64 + 5000);
let da_solutions = self.get_results(&job_id, timeout)?;
let mut results: Vec<SampleResult> = da_solutions
.iter()
.map(|sol| self.to_sample_result(sol, var_map))
.collect();
results.sort_by(|a, b| {
a.energy
.partial_cmp(&b.energy)
.unwrap_or(std::cmp::Ordering::Equal)
});
results.truncate(shots);
Ok(results)
}
fn run_hobo(
&self,
_hobo: &(scirs2_core::ndarray::ArrayD<f64>, HashMap<String, usize>),
_shots: usize,
) -> SamplerResult<Vec<SampleResult>> {
Err(SamplerError::NotImplemented(
"HOBO not supported by Fujitsu hardware".to_string(),
))
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_fujitsu_config() {
let mut config = FujitsuConfig::default();
assert_eq!(config.annealing_time, 1000);
assert_eq!(config.num_replicas, 16);
}
#[test]
fn test_connectivity_types() {
let sampler = FujitsuDigitalAnnealerSampler::new(FujitsuConfig::default())
.with_connectivity(ConnectivityType::KingsGraph);
match sampler.connectivity {
ConnectivityType::KingsGraph => (),
_ => panic!("Wrong connectivity type"),
}
}
}