Awesome
RustQIP
Quantum Computing library leveraging graph building to build efficient quantum circuit simulations.
See all the examples in the examples directory.
PRs welcome
Rust is a great language for quantum computing with gate models because the borrow checker is very similar to the No-cloning theorem.
See all the examples in the examples directory 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 comparison, but that setup provides the ability to construct circuits easily and safely when they do get larger.
use qip::prelude::*;
use std::num::NonZeroUsize;
// Make a new circuit builder.
let mut b = LocalBuilder::<f64>::default();
let n = NonZeroUsize::new(3).unwrap();
// Make three registers of sizes 1, 3, 3 (7 qubits total).
let q = b.qubit(); // Same as b.register(1)?;
let ra = b.register(n);
let rb = b.register(n);
// Define circuit
// First apply an H to q
let q = b.h(q);
// Then swap ra and rb, conditioned on q.
let mut cb = b.condition_with(q);
let (ra, rb) = cb.swap(ra, rb) ?;
let q = cb.dissolve();
// Finally apply H to q again.
let q = b.h(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.
// Run circuit with a given precision.
let (_, measured) = b.calculate_state_with_init([( & ra, 0b000), ( & rb, 0b001)]);
// Lookup the result of the measurement we performed using the handle, and the probability
// of getting that measurement.
let (result, p) = measured.get_measurement(m_handle);
// Print the measured result
println!("Measured: {:?} (with chance {:?})", result, p);
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 qip also includes a macro which provides an
API similar to that which you would see in quantum computing textbooks.
This is guarded behind the macros
feature.
use qip::prelude::*;
use std::num::NonZeroUsize;
use qip_macros::program;
fn gamma<B>(b: &mut B, ra: B::Register, rb: B::Register) -> CircuitResult<(B::Register, B::Register)>
where B: AdvancedCircuitBuilder<f64>
{
let (ra, rb) = b.toffoli(ra, rb)?;
let (rb, ra) = b.toffoli(rb, ra)?;
Ok((ra, rb))
}
let n = NonZeroUsize::new(3).unwrap();
let mut b = LocalBuilder::default();
let ra = b.register(n);
let rb = b.register(n);
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]>
// Notice ra[0] and rb[0] are grouped by brackets.
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> (rb[0] == |0>, rb[1] == 1, ...)
control(0b110) gamma rb, ra[0..2], ra[2];
)?;
We can also apply this to functions which take other arguments. Here gamma
takes a boolean
argument skip
which is passed in before the registers.
The arguments to functions in the program macro may not reference the input registers
use qip::prelude::*;
use std::num::NonZeroUsize;
use qip_macros::program;
fn gamma<B>(b: &mut B, skip: bool, ra: B::Register, rb: B::Register) -> CircuitResult<(B::Register, B::Register)>
where B: AdvancedCircuitBuilder<f64>
{
let (ra, rb) = b.toffoli(ra, rb)?;
let (rb, ra) = if skip {
b.toffoli(rb, ra)?
} else {
(rb, ra)
};
Ok((ra, rb))
}
let n = NonZeroUsize::new(3).unwrap();
let mut b = LocalBuilder::default();
let ra = b.register(n);
let rb = b.register(n);
let (ra, rb) = program!(&mut b; ra, rb;
gamma(true) ra[0..2], ra[2];
gamma(0 == 1) ra[0..2], ra[2];
)?;
The Invert Macro
It's often useful to define functions of registers as well as their inverses, the #[invert]
macro automates much of this process.
use qip::prelude::*;
use std::num::NonZeroUsize;
use qip_macros::*;
use qip::inverter::Invertable;
// Make gamma and its inverse: gamma_inv
#[invert(gamma_inv)]
fn gamma<B>(b: &mut B, ra: B::Register, rb: B::Register) -> CircuitResult<(B::Register, B::Register)>
where B: AdvancedCircuitBuilder<f64> + Invertable<SimilarBuilder=B>
{
let (ra, rb) = b.toffoli(ra, rb)?;
let (rb, ra) = b.toffoli(rb, ra)?;
Ok((ra, rb))
}
let n = NonZeroUsize::new(3).unwrap();
let mut b = LocalBuilder::default();
let ra = b.register(n);
let rb = b.register(n);
let (ra, rb) = program!(&mut b; ra, rb;
gamma ra[0..2], ra[2];
gamma_inv ra[0..2], ra[2];
)?;
To invert functions with additional arguments, we must list the non-register arguments.
use qip::prelude::*;
use std::num::NonZeroUsize;
use qip_macros::*;
use qip::inverter::Invertable;
// Make gamma and its inverse: gamma_inv
#[invert(gamma_inv, skip)]
fn gamma<B>(b: &mut B, skip: bool, ra: B::Register, rb: B::Register) -> CircuitResult<(B::Register, B::Register)>
where B: AdvancedCircuitBuilder<f64> + Invertable<SimilarBuilder=B>
{
let (ra, rb) = b.toffoli(ra, rb)?;
let (rb, ra) = if skip {
b.toffoli(rb, ra)?
} else {
(rb, ra)
};
Ok((ra, rb))
}
let n = NonZeroUsize::new(3).unwrap();
let mut b = LocalBuilder::default();
let ra = b.register(n);
let rb = b.register(n);
let (ra, rb) = program!(&mut b; ra, rb;
gamma(true) ra[0..2], ra[2];
gamma_inv(true) ra[0..2], ra[2];
)?;