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//! Quantum Computing library leveraging graph building to build efficient quantum circuit
//! simulations.
//!
//! See all the examples in the [examples directory](https://github.com/Renmusxd/RustQIP/tree/master/examples) of the Github repository.
//!
//! # Example (CSWAP)
//! Here's an example of a small circuit where two groups of Registers are swapped conditioned on a
//! third. This circuit is very small, only three operations plus a measurement, so the boilerplate
//! can look quite large in compairison, but that setup provides the ability to construct circuits
//! easily and safely when they do get larger.
//! ```
//! use qip::*;
//!
//! # fn main() -> Result<(), CircuitError> {
//! // Make a new circuit builder.
//! let mut b = OpBuilder::new();
//!
//! // Make three registers of sizes 1, 3, 3 (7 qubits total).
//! let q = b.qubit();
//! let ra = b.register(3)?;
//! let rb = b.register(3)?;
//!
//! // We will want to feed in some inputs later, hang on to the handles
//! // so we don't need to actually remember any indices.
//! let a_handle = ra.handle();
//! let b_handle = rb.handle();
//!
//! // Define circuit
//! // First apply an H to r
//! let q = b.hadamard(q);
//! // Then run this subcircuit conditioned on r, applied to ra and rb
//! let (q, _, _) = b.cswap(q, ra, rb)?;
//! // Finally apply H to q again.
//! let q = b.hadamard(q);
//!
//! // Add a measurement to the first qubit, save a reference so we can get the result later.
//! let (q, m_handle) = b.measure(q);
//!
//! // Now q is the end result of the above circuit, and we can run the circuit by referencing it.
//!
//! // Make an initial state: |0,000,001>
//! let initial_state = [a_handle.make_init_from_index(0)?,
//! b_handle.make_init_from_index(1)?];
//! // Run circuit with a given precision.
//! let (_, measured) = run_local_with_init::<f64>(&q, &initial_state)?;
//!
//! // Lookup the result of the measurement we performed using the handle.
//! let (result, p) = measured.get_measurement(&m_handle).unwrap();
//!
//! // Print the measured result
//! println!("Measured: {:?} (with chance {:?})", result, p);
//! # Ok(())
//! # }
//! ```
//!
//! # The Program Macro
//! While the borrow checker included in rust is a wonderful tool for checking that our registers
//! are behaving, it can be cumbersome. For that reason I also include a macro which provides an
//! API similar to that which you would see in quantum computing textbooks:
//!
//! # Example (CSWAP)
//! Here's an example of a small circuit where two groups of Registers are swapped conditioned on a
//! third. This circuit is very small, only three operations plus a measurement, so the boilerplate
//! can look quite large in compairison, but that setup provides the ability to construct circuits
//! easily and safely when they do get larger.
//! ```
//! use qip::*;
//! # fn main() -> Result<(), CircuitError> {
//!
//! let n = 3;
//! let mut b = OpBuilder::new();
//! let ra = b.register(n)?;
//! let rb = b.register(n)?;
//!
//! let gamma = |b: &mut dyn UnitaryBuilder, mut rs: Vec<Register>| -> Result<Vec<Register>, CircuitError> {
//! let rb = rs.pop().unwrap();
//! let ra = rs.pop().unwrap();
//! let (ra, rb) = b.cnot(ra, rb);
//! Ok(vec![ra, rb])
//! };
//!
//! let (ra, rb) = program!(&mut b, ra, rb;
//! // Applies gamma to |ra[0] ra[1]>|ra[2]>
//! gamma ra[0..2], ra[2];
//! // Applies gamma to |ra[0] rb[0]>|ra[2]>
//! gamma |ra[0], rb[0],| ra[2];
//! // Applies gamma to |ra[0]>|rb[0] ra[2]>
//! gamma ra[0], |rb[0], ra[2],|;
//! // Applies gamma to |ra[0] ra[1]>|ra[2]> if rb == |111>
//! control gamma rb, ra[0..2], ra[2];
//! // Applies gamma to |ra[0] ra[1]>|ra[2]> if rb == |110> (meaning rb[0] == |0>)
//! control(0b110) gamma rb, ra[0..2], ra[2];
//! );
//! let r = b.merge(vec![ra, rb])?;
//!
//! # Ok(())
//! # }
//! ```
pub use *;
pub use *;
pub use *;
pub use *;
pub use ;
pub use run_debug;
pub use ;
pub use Register;
pub use Precision;
pub use Complex;
/// Opbuilder and such
/// Common circuits for general usage.
/// Error values for the library.
/// Macros for general ease of use.
/// Code for building pipelines.
/// Tools for displaying pipelines.
/// Quantum fourier transform support.
/// Ease of use for chains of single register ops.
/// Basic classes for defining circuits/pipelines.
/// Commonly used types.
/// Break unitary matrices into circuits.
/// Commonly used short functions.
/// Efficient iterators for sparse kronprod matrices.
/// Functions for measuring states.
/// Functions for running ops on states.