[[bench]]
harness = false
name = "neural_decoder_bench"
path = "benches/neural_decoder_bench.rs"
[dependencies.anyhow]
version = "1.0"
[dependencies.dashmap]
version = "6.1"
[dependencies.ndarray]
features = ["serde"]
version = "0.16"
[dependencies.ordered-float]
version = "4.2"
[dependencies.parking_lot]
version = "0.12"
[dependencies.petgraph]
version = "0.6"
[dependencies.rand]
version = "0.8"
[dependencies.rand_distr]
version = "0.4"
[dependencies.rayon]
optional = true
version = "1.10"
[dependencies.ruvector-mincut]
default-features = false
features = ["exact"]
version = "0.1.30"
[dependencies.serde]
features = ["derive"]
version = "1.0"
[dependencies.serde_json]
version = "1.0"
[dependencies.thiserror]
version = "2.0"
[dev-dependencies.approx]
version = "0.5"
[dev-dependencies.criterion]
features = ["html_reports"]
version = "0.5"
[dev-dependencies.proptest]
version = "1.5"
[features]
default = ["parallel"]
full = ["parallel", "simd", "training"]
parallel = ["rayon"]
simd = ["ruvector-mincut/simd"]
training = []
[lib]
bench = false
crate-type = ["rlib"]
name = "ruqu_neural_decoder"
path = "src/lib.rs"
[package]
authors = ["Ruvector Team"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms", "mathematics", "simulation"]
description = "Neural Quantum Error Decoder (NQED) - GNN-based decoder with O(d^2) Mamba state-space architecture"
documentation = "https://docs.rs/ruqu-neural-decoder"
edition = "2021"
homepage = "https://ruv.io"
keywords = ["quantum", "error-correction", "neural-network", "graph-attention", "mamba"]
license = "MIT"
name = "ruqu-neural-decoder"
readme = "README.md"
repository = "https://github.com/ruvnet/ruvector"
rust-version = "1.77"
version = "0.1.32"
[[test]]
name = "integration_tests"
path = "tests/integration_tests.rs"
[[test]]
name = "proptest_tests"
path = "tests/proptest_tests.rs"