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// Copyright © 2021-2023 HQS Quantum Simulations GmbH. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software distributed under the
// License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
// express or implied. See the License for the specific language governing permissions and
// limitations under the License.
//! qoqo-macros
//!
//! Attribute proc-macros for the traits of qoqo [qoqo].
use proc_macro2::TokenStream;
use quote::{format_ident, quote};
use std::collections::HashSet;
use syn::parse::{Parse, ParseStream};
use syn::punctuated::Punctuated;
use syn::{
parse2, parse_macro_input, DataStruct, DeriveInput, Fields, GenericArgument, Ident, ItemStruct,
PathArguments, Token, Type, TypePath,
};
mod devices;
mod noise_models;
mod operate;
#[proc_macro_attribute]
pub fn noise_model_wrapper(
_metadata: proc_macro::TokenStream,
input: proc_macro::TokenStream,
) -> proc_macro::TokenStream {
noise_models::noise_model_wrapper_def(_metadata, input)
}
#[proc_macro_attribute]
pub fn devicewrapper(
_metadata: proc_macro::TokenStream,
input: proc_macro::TokenStream,
) -> proc_macro::TokenStream {
devices::device_wrapper_def(_metadata, input)
}
#[cfg(feature = "unstable_chain_with_environment")]
#[proc_macro_attribute]
pub fn devicechainenvironmentwrapper(
_metadata: proc_macro::TokenStream,
input: proc_macro::TokenStream,
) -> proc_macro::TokenStream {
devices::device_chain_env_wrapper_def(_metadata, input)
}
/// Array of field names that are reserved for use with specific traits
const RESERVED_FIELDS: &[&str; 15] = &[
"qubit",
"control",
"control_0",
"control_1",
"target",
"qubits",
"global_phase",
"alpha_r",
"alpha_i",
"beta_r",
"beta_i",
"name",
"mode",
"mode_0",
"mode_1",
];
// Struct for parsed derive macro arguments. Used to identify structs belonging to enums
#[derive(Debug)]
struct AttributeMacroArguments(HashSet<String>);
impl AttributeMacroArguments {
pub fn contains(&self, st: &str) -> bool {
self.0.contains(st)
}
pub fn _ids(&self) -> Vec<Ident> {
self.0
.clone()
.into_iter()
.map(|s| format_ident!("Wrap{}", s))
.collect()
}
}
impl Parse for AttributeMacroArguments {
fn parse(input: ParseStream) -> syn::parse::Result<Self> {
// Parse arguments as comma separated list of idents
let arguments = Punctuated::<Ident, Token![,]>::parse_terminated(input)?;
Ok(Self(
arguments.into_iter().map(|id| id.to_string()).collect(),
))
}
}
/// Attribute macro for constructing the pyo3 wrappers for operation structs
#[proc_macro_attribute]
pub fn wrap(
metadata: proc_macro::TokenStream,
input: proc_macro::TokenStream,
) -> proc_macro::TokenStream {
let attribute_arguments = parse_macro_input!(metadata as AttributeMacroArguments);
let input2: TokenStream = input.clone().into();
let parsed_input = parse_macro_input!(input as ItemStruct);
let ident = parsed_input.ident;
let struct_attributes = parsed_input.attrs;
let str_ident = ident.to_string();
let wrapper_ident = format_ident!("{}Wrapper", ident.to_string());
let operate_quote = if attribute_arguments.contains("Operate") {
derive_wrap_operate(input2)
} else {
TokenStream::new()
};
let rotate_quote = if attribute_arguments.contains("Rotate") {
quote! {
/// Returns Rotated gate raised to power
///
/// Args:
/// `power`(CalculatorFloat): exponent of the power operation.
///
/// Returns:
/// Self: gate raised to the power of `power`
///
pub fn powercf(&self, power: CalculatorFloatWrapper) -> Self{
Self{internal: self.internal.powercf(power.internal)}
}
#[cfg(feature = "overrotate")]
/// Returns clone of the gate with one parameter statistically overrotated.
fn overrotate(&self, amplitude: &f64, variance: &f64) -> Self {
Self{internal: self.internal.overrotate(amplitude, variance)}
}
}
} else {
TokenStream::new()
};
let operate_pragma_quote = if attribute_arguments.contains("OperatePragma") {
quote! {}
} else {
TokenStream::new()
};
let operate_pragma_noise_quote = if attribute_arguments.contains("OperatePragmaNoise") {
quote! {
/// Return the superoperator defining the evolution of the density matrix under the noise gate
///
/// Returns:
/// np.ndarray
///
pub fn superoperator(&self) -> PyResult<Py<PyArray2<f64>>>{
Python::with_gil(|py| -> PyResult<Py<PyArray2<f64>>> {
Ok(self.internal.superoperator().unwrap().to_pyarray_bound(py).as_gil_ref().into())
})
}
/// Return the power of the noise gate
///
/// Args:
/// `power` (CalculatorFloat): exponent in the power operation of the noise gate
///
/// Returns:
/// Self
///
pub fn powercf(&self, power: CalculatorFloatWrapper) -> Self{
Self{internal: self.internal.powercf(power.internal)}
}
}
} else {
TokenStream::new()
};
let operate_pragma_noise_proba_quote =
if attribute_arguments.contains("OperatePragmaNoiseProba") {
quote! {
/// Returns the probability associated with the noise operation
///
/// Returns:
/// CalculatorFloat
pub fn probability(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.probability().clone()}
}
}
} else {
TokenStream::new()
};
let operate_single_qubit_quote = if attribute_arguments.contains("OperateSingleQubit") {
quote! {
/// Return the qubit the operation acts on
///
/// Returns:
/// int
pub fn qubit(&self) -> usize{
self.internal.qubit().clone()
}
}
} else {
TokenStream::new()
};
let operate_single_qubit_gate_quote = if attribute_arguments.contains("OperateSingleQubitGate")
{
quote! {
/// Return the global phase :math:`g` of a unitary gate acting on one qubit
///
/// Here global_phase is defined by
///
/// .. math::
/// U =e^{i \cdot g}\begin{pmatrix}
/// \alpha_r+i \alpha_i & -\beta_r+i \beta_i \\\\
/// \beta_r+i \beta_i & \alpha_r-i\alpha_i
/// \end{pmatrix}
///
/// Returns:
/// CalculatorFloat
pub fn global_phase(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.global_phase().clone()}
}
/// Return the property alpha_r :math:`\alpha_r` of a unitary gate acting on one qubit
///
/// Here alpha_r is defined by
///
/// .. math::
/// U =e^{i \cdot g}\begin{pmatrix}
/// \alpha_r+i \alpha_i & -\beta_r+i \beta_i \\\\
/// \beta_r+i \beta_i & \alpha_r-i\alpha_i
/// \end{pmatrix}
///
/// Returns:
/// CalculatorFloat
pub fn alpha_r(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.alpha_r().clone()}
}
/// Return the property alpha_i :math:`\alpha_i` of a unitary gate acting on one qubit
///
/// .. math::
/// U =e^{i \cdot g}\begin{pmatrix}
/// \alpha_r+i \alpha_i & -\beta_r+i \beta_i \\\\
/// \beta_r+i \beta_i & \alpha_r-i\alpha_i
/// \end{pmatrix}
///
/// Returns:
/// CalculatorFloat
pub fn alpha_i(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.alpha_i().clone()}
}
/// Return the property beta_r :math:`\beta_r` of a unitary gate acting on one qubit
///
/// Here beta_r is defined by
///
/// .. math::
/// U =e^{i \cdot g}\begin{pmatrix}
/// \alpha_r+i \alpha_i & -\beta_r+i \beta_i \\\\
/// \beta_r+i \beta_i & \alpha_r-i\alpha_i
/// \end{pmatrix}
///
/// Returns:
/// CalculatorFloat
pub fn beta_r(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.beta_r().clone()}
}
/// Returns the property beta_i :math:`\beta_i` of a unitary gate acting on one qubit
///
/// Here beta_i is defined by
///
/// .. math::
/// U =e^{i \cdot g}\begin{pmatrix}
/// \alpha_r+i \alpha_i & -\beta_r+i \beta_i \\\\
/// \beta_r+i \beta_i & \alpha_r-i\alpha_i
/// \end{pmatrix}
///
///
/// Returns:
/// CalculatorFloat
pub fn beta_i(&self) -> CalculatorFloatWrapper{
CalculatorFloatWrapper{internal: self.internal.beta_i().clone()}
}
/// Multiplies two compatible operations implementing OperateSingleQubitGate.
///
/// Does not consume the two operations being multiplied.
/// Only Operations
///
/// Args:
/// `other` - An Operation implementing [OperateSingleQubitGate].
///
/// Returns:
/// PyResult: Result of the multiplication, i.e. the multiplied single qubit gate.
///
/// Example:
/// ```
/// from qoqo.operations import RotateZ, RotateX
///
/// gate1 = RotateZ(qubit=0, theta=1)
/// gate2 = RotateX(qubit=0, theta=1)
/// multiplied = gate1.mul(gate2)
/// print("Multiplied gate: ", multiplied)
/// ```
///
pub fn mul(&self, other: &Bound<PyAny>) -> PyResult<SingleQubitGateWrapper> {
let other: Operation = crate::operations::convert_pyany_to_operation(other).map_err(|x| {
pyo3::exceptions::PyTypeError::new_err(format!("Right hand side cannot be converted to Operation {:?}",x))
})?;
let other_converted: SingleQubitGateOperation = other.clone().try_into().map_err(|x| {
pyo3::exceptions::PyRuntimeError::new_err(format!("Conversion to SingleQubitGateOperation failed {:?}",x))
})?;
let multiplied = self.internal.mul(&other_converted).map_err(|x| {
pyo3::exceptions::PyRuntimeError::new_err(format!("Multiplication failed {:?}",x))
})?;
Ok(SingleQubitGateWrapper{ internal: multiplied})
}
}
} else {
TokenStream::new()
};
let operate_two_qubit_quote = if attribute_arguments.contains("OperateTwoQubit") {
quote! {
/// Returns control qubit of the two-qubit operation
pub fn control(&self) -> usize {
self.internal.control().clone()
}
/// Returns target qubit of the two-qubit operation
pub fn target(&self) -> usize {
self.internal.target().clone()
}
}
} else {
TokenStream::new()
};
// let operate_two_qubit_gate_quote = if attribute_arguments.contains("OperateTwoQubitGate") {
// quote! {
// /// Returns kak decomposition of the two-qubit-gate operation
// pub fn kak_decomposition(&self) -> KakDecompositionWrapper {
// KakDecompositionWrapper{internal: self.internal.kak_decomposition().clone()}
// }
// }
// } else {
// TokenStream::new()
// };
let operate_three_qubit_quote = if attribute_arguments.contains("OperateThreeQubit") {
quote! {
/// Returns control_0 qubit of the three-qubit operation
pub fn control_0(&self) -> usize {
self.internal.control_0().clone()
}
/// Returns control_1 qubit of the three-qubit operation
pub fn control_1(&self) -> usize {
self.internal.control_1().clone()
}
/// Returns target qubit of the three-qubit operation
pub fn target(&self) -> usize {
self.internal.target().clone()
}
}
} else {
TokenStream::new()
};
let operate_three_qubit_gate_quote = if attribute_arguments.contains("OperateThreeQubitGate") {
quote! {
/// Returns circuit implementing the ThreeQubitGateOperation
///
/// Returns:
/// Circuit
pub fn circuit(&self) -> CircuitWrapper {
CircuitWrapper { internal: self.internal.circuit().clone() }
}
}
} else {
TokenStream::new()
};
let operate_gate_quote = if attribute_arguments.contains("OperateGate") {
quote! {
/// Return unitary matrix of gate.
///
/// Returns:
/// np.ndarray
///
/// Raises:
/// ValueError: Error symbolic operation cannot return float unitary matrix
pub fn unitary_matrix(&self) -> PyResult<Py<PyArray2<Complex64>>>{
Python::with_gil(|py| -> PyResult<Py<PyArray2<Complex64>>> {
Ok(self.internal.unitary_matrix().map_err(|x| PyValueError::new_err(format!("Error symbolic operation cannot return float unitary matrix {:?}",x)))?
.to_pyarray_bound(py)
.as_gil_ref()
.into())
})
}
}
} else {
TokenStream::new()
};
let operate_multi_qubit_quote = if attribute_arguments.contains("OperateMultiQubit") {
quote! {
/// Return list of qubits of the multi qubit operation in order of descending significance
///
/// Returns:
/// list[int]
pub fn qubits(&self) -> Vec<usize>{
self.internal.qubits().clone()
}
}
} else {
TokenStream::new()
};
let operate_multi_qubit_gate_quote = if attribute_arguments.contains("OperateMultiQubitGate") {
quote! {
/// Return circuit implementing MultiQubitGateOperation
///
/// Returns:
/// Circuit
pub fn circuit(&self) -> CircuitWrapper{
CircuitWrapper { internal: self.internal.circuit().clone() }
}
}
} else {
TokenStream::new()
};
let define_quote = if attribute_arguments.contains("Define") {
quote! {
/// Return name of definition operation.
///
/// Returns:
/// str
pub fn name(&self) -> String {
self.internal.name().clone()
}
}
} else {
TokenStream::new()
};
let operate_constant_gate_quote = if attribute_arguments.contains("OperateConstantGate") {
quote! {
/// Return inverse of GateOperation:
///
/// Returns:
/// GateOperation
pub fn inverse(&self) -> GateOperationWrapper {
GateOperationWrapper { internal: self.internal.inverse().clone() }
}
}
} else {
TokenStream::new()
};
let involve_modes_quote = if attribute_arguments.contains("InvolveModes") {
quote! {
/// List of modes the operation acts on.
///
/// Returns:
/// Union[set[int], str]: The involved qubits as a set or 'ALL' if all qubits are involved
pub fn involved_modes(&self) -> PyObject {
Python::with_gil(|py| -> PyObject {
let involved = self.internal.involved_modes();
match involved {
InvolvedModes::All => {
let pyref: &Bound<PySet> = &PySet::new_bound(py, &["All"]).unwrap();
let pyobject: PyObject = pyref.to_object(py);
pyobject
},
InvolvedModes::None => {
let pyref: &Bound<PySet> = &PySet::empty_bound(py).unwrap();
let pyobject: PyObject = pyref.to_object(py);
pyobject
},
InvolvedModes::Set(x) => {
let mut vector: Vec<usize> = Vec::new();
for mode in x {
vector.push(mode)
}
let pyref: &Bound<PySet> = &PySet::new_bound(py, &vector[..]).unwrap();
let pyobject: PyObject = pyref.to_object(py);
pyobject
},
}
})
}
}
} else {
TokenStream::new()
};
let substitute_modes_quote = if attribute_arguments.contains("SubstituteModes") {
quote! {
/// Remap the bosonic modes in copy of the operation.
///
/// Args:
/// mapping (dict[int, int]): Mapping for bosonic modes in operation.
///
/// Returns:
/// self
///
/// Raises:
/// PyValueError: Remapping could not be performed
pub fn remap_modes(&self, mapping: HashMap<usize, usize>) -> PyResult<Self> {
let new_internal = self.internal.remap_modes(&mapping).map_err(|x|
PyRuntimeError::new_err(format!("Mode remapping failed: {:?}",x))
)?;
Ok(Self{internal: new_internal})
}
}
} else {
TokenStream::new()
};
let operate_mode_gate_quote = if attribute_arguments.contains("OperateModeGate") {
quote! {}
} else {
TokenStream::new()
};
let operate_single_mode_quote = if attribute_arguments.contains("OperateSingleMode") {
quote! {
/// Return `mode` the bosonic Operation acts on.
///
/// Returns:
/// int
pub fn mode(&self) -> usize {
self.internal.mode().clone()
}
}
} else {
TokenStream::new()
};
let operate_spins_analog_quote = if attribute_arguments.contains("OperateSpinsAnalog") {
quote! {
/// /// Returns a vector of all the spins present in the analog operation (Hamiltonian)..
///
/// Returns:
/// Vec<usize>
pub fn spin(&self) -> PyResult<Vec<usize>> {
Python::with_gil(|py| -> PyResult<Vec<usize>> {
Ok(self.internal.spin().map_err(|x| PyValueError::new_err(format!("Error operation cannot return spins {:?}",x)))?.to_owned())
})
}
}
} else {
TokenStream::new()
};
let operate_two_mode_quote = if attribute_arguments.contains("OperateTwoMode") {
quote! {
/// Return `mode_0` bosonic mode of two bosonic mode Operation.
///
/// Returns:
/// int
pub fn mode_0(&self) -> usize {
self.internal.mode_0().clone()
}
/// Return `mode_1` bosonic mode of two bosonic mode Operation.
///
/// Returns:
/// int
pub fn mode_1(&self) -> usize {
self.internal.mode_1().clone()
}
}
} else {
TokenStream::new()
};
let operate_single_mode_gate_quote = if attribute_arguments.contains("OperateSingleModeGate") {
quote! {}
} else {
TokenStream::new()
};
let operate_two_mode_gate_quote = if attribute_arguments.contains("OperateTwoModeGate") {
quote! {}
} else {
TokenStream::new()
};
let json_schema_quote = if attribute_arguments.contains("JsonSchema") {
quote! {
#[cfg(feature = "json_schema")]
/// Returns the current version of the qoqo library .
///
/// Returns:
/// str: The current version of the library.
#[staticmethod]
pub fn current_version() -> String {
ROQOQO_VERSION.to_string()
}
#[cfg(feature = "json_schema")]
/// Return the minimum version of qoqo that supports this object.
///
/// Returns:
/// str: The minimum version of the qoqo library to deserialize this object.
pub fn min_supported_version(&self) -> String {
let min_version: (u32, u32, u32) = #ident::minimum_supported_roqoqo_version(&self.internal);
format!("{}.{}.{}", min_version.0, min_version.1, min_version.2)
}
#[cfg(feature = "json_schema")]
/// Return the JsonSchema for the json serialisation of the class.
///
/// Returns:
/// str: The json schema serialized to json
#[staticmethod]
pub fn json_schema() -> String {
let schema = schemars::schema_for!(#ident);
serde_json::to_string_pretty(&schema).expect("Unexpected failure to serialize schema")
}
}
} else {
TokenStream::new()
};
let msg = format!("Internal storage of {} object", ident);
let q = quote! {
#[automatically_derived]
#[pyclass(name=#str_ident)]
#(#struct_attributes)*
#[derive(Debug, Clone, PartialEq)]
pub struct #wrapper_ident{
#[doc = #msg]
pub internal: #ident
}
#[automatically_derived]
#[pymethods]
impl #wrapper_ident{
#operate_quote
#operate_single_qubit_quote
#operate_single_qubit_gate_quote
#operate_two_qubit_quote
// #operate_two_qubit_gate_quote
#operate_three_qubit_quote
#operate_three_qubit_gate_quote
#operate_multi_qubit_quote
#operate_multi_qubit_gate_quote
#operate_gate_quote
#rotate_quote
#operate_pragma_quote
#operate_pragma_noise_quote
#operate_pragma_noise_proba_quote
#define_quote
#operate_constant_gate_quote
#involve_modes_quote
#substitute_modes_quote
#operate_mode_gate_quote
#operate_single_mode_quote
#operate_two_mode_quote
#operate_single_mode_gate_quote
#operate_two_mode_gate_quote
#operate_spins_analog_quote
#json_schema_quote
fn __format__(&self, _format_spec: &str) -> PyResult<String> {
Ok(format!("{:?}", self.internal))
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("{:?}", self.internal))
}
/// Returns the __richcmp__ magic method to perform rich comparison
/// operations on Operation.
///
/// Args:
///
/// * `&self` - the OperationWrapper object
/// * `other` - the object to compare self to
/// * `op` - equal or not equal
///
/// Returns:
///
/// `PyResult<bool>` - whether the two operations compared evaluated to True or False
///
fn __richcmp__(&self, other: &Bound<PyAny>, op: pyo3::class::basic::CompareOp) -> PyResult<bool> {
let other: Operation = crate::operations::convert_pyany_to_operation(other).map_err(|x| {
pyo3::exceptions::PyTypeError::new_err(format!("Right hand side cannot be converted to Operation {:?}",x))
})?;
match op {
pyo3::class::basic::CompareOp::Eq => Ok(Operation::from(self.internal.clone()) == other),
pyo3::class::basic::CompareOp::Ne => Ok(Operation::from(self.internal.clone()) != other),
_ => Err(pyo3::exceptions::PyNotImplementedError::new_err(
"Other comparison not implemented.",
)),
}
}
}
};
q.into()
}
fn derive_wrap_operate(input: TokenStream) -> TokenStream {
let parsed_input: DeriveInput = parse2(input).unwrap();
operate::dispatch_struct(parsed_input)
}
/// Macro for injecting code to convert PyAny to Operation
#[proc_macro]
pub fn insert_pyany_to_operation(_input: proc_macro::TokenStream) -> proc_macro::TokenStream {
proc_macro::TokenStream::from(quote! {})
}
/// Macro for injecting code to convert PyAny to Operation
#[proc_macro]
pub fn insert_operation_to_pyobject(_input: proc_macro::TokenStream) -> proc_macro::TokenStream {
proc_macro::TokenStream::from(quote! {})
}
/// Extrats the identifier of fields of a named struct
/// together with the optional cast of the type to string form (where the type is a simple path) and the type as a syn object
fn extract_fields_with_types(ds: DataStruct) -> Vec<(Ident, Option<String>, Type)> {
let fields = match ds {
DataStruct {
fields: Fields::Named(fields),
..
} => fields,
_ => panic!("Trait can only be derived on structs with named fields"),
};
fields.named.into_iter().map(|f| {
let id = f
.ident
.expect("Operate can only be derived on structs with named fields");
let ty = f.ty;
let type_path =match &ty {
Type::Path(TypePath{path:p,..}) => p,
_ => panic!("Trait only supports fields with normal types of form path (e.g. CalculatorFloat, qoqo_calculator::CalculatorFloat)")
};
let mut type_string = match type_path.get_ident(){
Some(ident_path) => Some(ident_path.to_string()),
_ => type_path
.segments
.last().map(|segment|{segment.ident.to_string()})
};
if let Some(ref x) = type_string{
if x.as_str() == "Option"{
let inner_type = match &type_path.segments.iter().next().unwrap().arguments{
PathArguments::AngleBracketed(angle_argumnets) => match angle_argumnets.args.iter().next().unwrap() {
GenericArgument::Type(Type::Path(TypePath{path:innerty,..})) => match innerty.get_ident(){
Some(ident_path) => Some(ident_path.to_string()),
_ =>innerty
.segments
.last().map(|segment|{segment.ident.to_string()})
},
_ => panic!("Expected GenericArgument")
},
_ => panic!("Expected AngleBracketed")
};
if let Some(s) = inner_type { if s.as_str() == "Circuit"{
type_string = Some("Option<Circuit>".to_string())
}}}
}
(id, type_string, ty)
}).collect()
}