logosq-optimizer 0.1.0

Classical optimizers for variational quantum algorithms
Documentation 
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[[bench]]
harness = false
name = "optimizer_benchmarks"
path = "benches/optimizer_benchmarks.rs"

[dependencies.cudarc]
optional = true
version = "0.10"

[dependencies.ndarray]
version = "0.15"

[dependencies.ndarray-linalg]
optional = true
version = "0.16"

[dependencies.num-traits]
version = "0.2"

[dependencies.rand]
version = "0.8"

[dependencies.serde]
features = ["derive"]
version = "1.0"

[dependencies.thiserror]
version = "1.0"

[dependencies.tracing]
version = "0.1"

[dev-dependencies.approx]
version = "0.5"

[dev-dependencies.criterion]
version = "0.5"

[features]
autodiff = []
blas = ["ndarray-linalg"]
default = []
gpu = ["cudarc"]

[lib]
name = "logosq_optimizer"
path = "src/lib.rs"

[package]
authors = ["LogosQ Team"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms", "mathematics"]
description = "Classical optimizers for variational quantum algorithms"
documentation = "https://docs.rs/logosq-optimizer"
edition = "2021"
keywords = ["quantum", "optimization", "vqe", "gradient", "autodiff"]
license = "MIT"
name = "logosq-optimizer"
readme = "README.md"
repository = "https://github.com/WeaveITMeta/LogosQ-Optimizer"
rust-version = "1.70"
version = "0.1.0"

[[test]]
name = "integration_tests"
path = "tests/integration_tests.rs"