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234 changes: 234 additions & 0 deletions Standard/src/Characterization/Distinguishability.qs
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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

namespace Microsoft.Quantum.Characterization {
open Microsoft.Quantum.Intrinsic;
open Microsoft.Quantum.Canon;
open Microsoft.Quantum.Arrays;

/// # Summary
/// Given two operations which each prepare copies of a state, estimates
/// the real part of the overlap between the states prepared by each
/// operation.
///
/// # Input
/// ## commonPreparation
/// An operation that prepares a fixed input state.
/// ## preparation1
/// The first of the two state preparation operations to be compared.
/// ## preparation2
/// The second of the two state preparation operations to be compared.
/// ## nQubits
/// The number of qubits on which `commonPreparation`, `preparation1`, and
/// `preparation2` all act.
/// ## nMeasurements
/// The number of measurements to use in estimating the overlap.
///
/// # Remarks
/// This operation uses the Hadamard test to find the real part of
/// $$
/// \begin{align}
/// \braket{\psi | V^{\dagger} U | \psi}
/// \end{align}
/// $$
/// where $\ket{\psi}$ is the state prepared by `commonPreparation`,
/// $U$ is the unitary representation of the action of `preparation1`,
/// and where $V$ corresponds to `preparation2`.
///
/// # References
/// - Aharonov *et al.* [quant-ph/0511096](https://arxiv.org/abs/quant-ph/0511096).
///
/// # See Also
/// - Microsoft.Quantum.Characterization.EstimateImagOverlapBetweenStates
/// - Microsoft.Quantum.Characterization.EstimateOverlapBetweenStates
operation EstimateRealOverlapBetweenStates(
commonPreparation : (Qubit[] => Unit is Adj),
preparation1 : (Qubit[] => Unit is Adj + Ctl),
preparation2 : (Qubit[] => Unit is Adj + Ctl),
nQubits : Int, nMeasurements : Int
)
: Double {
return 2.0 * EstimateFrequencyA(
_ApplyHadamardTestOnSingleRegister(false, commonPreparation, preparation1, preparation2, _),
_HeadMeasurement(nQubits + 1),
nQubits + 1, nMeasurements
) - 1.0;
}

/// # Summary
/// Given two operations which each prepare copies of a state, estimates
/// the imaginary part of the overlap between the states prepared by each
/// operation.
///
/// # Input
/// ## commonPreparation
/// An operation that prepares a fixed input state.
/// ## preparation1
/// The first of the two state preparation operations to be compared.
/// ## preparation2
/// The second of the two state preparation operations to be compared.
/// ## nQubits
/// The number of qubits on which `commonPreparation`, `preparation1`, and
/// `preparation2` all act.
/// ## nMeasurements
/// The number of measurements to use in estimating the overlap.
///
/// # Remarks
/// This operation uses the Hadamard test to find the imaginary part of
/// $$
/// \begin{align}
/// \braket{\psi | V^{\dagger} U | \psi}
/// \end{align}
/// $$
/// where $\ket{\psi}$ is the state prepared by `commonPreparation`,
/// $U$ is the unitary representation of the action of `preparation1`,
/// and where $V$ corresponds to `preparation2`.
///
/// # References
/// - Aharonov *et al.* [quant-ph/0511096](https://arxiv.org/abs/quant-ph/0511096).
///
/// # See Also
/// - Microsoft.Quantum.Characterization.EstimateRealOverlapBetweenStates
/// - Microsoft.Quantum.Characterization.EstimateOverlapBetweenStates
operation EstimateImagOverlapBetweenStates(
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Imag or Imaginary? Do we have a precedent for this elsewhere in the API docs?

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Good point, thanks for the catch. I guess I was thinking of the usage in Microsoft.Quantum.Math.Complex, which has a Real and an Imag named item.

commonPreparation : (Qubit[] => Unit is Adj),
preparation1 : (Qubit[] => Unit is Adj + Ctl),
preparation2 : (Qubit[] => Unit is Adj + Ctl),
nQubits : Int, nMeasurements : Int
)
: Double {
return 2.0 * EstimateFrequencyA(
_ApplyHadamardTestOnSingleRegister(true, commonPreparation, preparation1, preparation2, _),
_HeadMeasurement(nQubits + 1),
nQubits + 1, nMeasurements
) - 1.0;
}


/// # Summary
/// Given two operations which each prepare copies of a state, estimates
/// the squared overlap between the states prepared by each
/// operation.
///
/// # Input
/// ## preparation1
/// The first of the two state preparation operations to be compared.
/// ## preparation2
/// The second of the two state preparation operations to be compared.
/// ## nQubits
/// The number of qubits on which `commonPreparation`, `preparation1`, and
/// `preparation2` all act.
/// ## nMeasurements
/// The number of measurements to use in estimating the overlap.
///
/// # Remarks
/// This operation uses the SWAP test to find
/// $$
/// \begin{align}
/// \left| \braket{00\cdots 0 | V^{\dagger} U | 00\cdots 0} \right|^2
/// \end{align}
/// $$
/// where $U$ is the unitary representation of the action of `preparation1`,
/// and where $V$ corresponds to `preparation2`.
///
/// # See Also
/// - Microsoft.Quantum.Characterization.EstimateRealOverlapBetweenStates
/// - Microsoft.Quantum.Characterization.EstimateImagOverlapBetweenStates
operation EstimateOverlapBetweenStates(
preparation1 : (Qubit[] => Unit is Adj),
preparation2 : (Qubit[] => Unit is Adj),
nQubits : Int, nMeasurements : Int
)
: Double {
let nTotalQubits = 2 * nQubits + 1;
return 2.0 * EstimateFrequencyA(
_ApplySwapTestOnSingleRegister(preparation1, preparation2, _),
_HeadMeasurement(nTotalQubits),
nTotalQubits, nMeasurements
) - 1.0;
}


operation _ApplyHadamardTest(
phaseShift : Bool,
commonPreparation : (Qubit[] => Unit is Adj),
preparation1 : (Qubit[] => Unit is Adj + Ctl),
preparation2 : (Qubit[] => Unit is Adj + Ctl),
control : Qubit,
target : Qubit[]
)
: Unit is Adj
{
within {
H(control);
} apply {
commonPreparation(target);
Controlled preparation1([control], target);
within { X(control); }
apply { Controlled preparation2([control], target); }

(phaseShift ? S | I)(control);
}
}

operation _ApplyHadamardTestOnSingleRegister(
phaseShift : Bool,
commonPreparation : (Qubit[] => Unit is Adj),
preparation1 : (Qubit[] => Unit is Adj + Ctl),
preparation2 : (Qubit[] => Unit is Adj + Ctl),
register : Qubit[]
)
: Unit is Adj
{
let control = Head(register);
let target = Rest(register);
_ApplyHadamardTest(
phaseShift,
commonPreparation,
preparation1, preparation2,
control, target
);
}


operation _ApplySwapTest(
preparation1 : (Qubit[] => Unit is Adj),
preparation2 : (Qubit[] => Unit is Adj),
control : Qubit,
target1 : Qubit[],
target2 : Qubit[]
)
: Unit is Adj {
within {
H(control);
} apply {
preparation1(target1);
preparation2(target2);
ApplyToEachCA(Controlled SWAP([control], _), Zip(target1, target2));
}
}

operation _ApplySwapTestOnSingleRegister(
preparation1 : (Qubit[] => Unit is Adj),
preparation2 : (Qubit[] => Unit is Adj),
register : Qubit[]
)
: Unit is Adj {
let control = Head(register);
let targets = Rest(register);
_ApplySwapTest(
preparation1, preparation2,
control,
targets[...Length(targets) / 2 - 1],
targets[Length(targets) / 2...]
);
}

function _HeadMeasurement(nQubits : Int) : (Qubit[] => Result) {
return Measure(
ConstantArray(nQubits, PauliI) w/ 0 <- PauliZ,
_
);
}

}
60 changes: 60 additions & 0 deletions Standard/tests/Characterization/DistinguishabilityTests.qs
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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

namespace Microsoft.Quantum.Tests {
open Microsoft.Quantum.Math;
open Microsoft.Quantum.Canon;
open Microsoft.Quantum.Intrinsic;
open Microsoft.Quantum.Characterization;
open Microsoft.Quantum.Diagnostics;

@Test("QuantumSimulator")
operation CheckOverlapBetweenPlusAndOne() : Unit {
let prep1 = ApplyToEachCA(H, _);
let prep2 = ApplyToEachCA(X, _);

EqualityWithinToleranceFact(
EstimateRealOverlapBetweenStates(
NoOp<Qubit[]>, prep1, prep2, 1, 1000000
),
1.0 / Sqrt(2.0),
0.02
);
EqualityWithinToleranceFact(
EstimateImagOverlapBetweenStates(
NoOp<Qubit[]>, prep1, prep2, 1, 1000000
),
0.0,
0.02
);
EqualityWithinToleranceFact(
0.5,
EstimateOverlapBetweenStates(
prep1, prep2, 1, 1000000
),
0.02
);
}

@Test("QuantumSimulator")
operation CheckOverlapWithCommonPreparation() : Unit {
let common = ApplyToEachCA(H, _);
let prep1 = ApplyToEachCA(S, _);
let prep2 = ApplyToEachCA(Z, _);

EqualityWithinToleranceFact(
EstimateRealOverlapBetweenStates(
common, prep1, prep2, 1, 1000000
),
0.5,
0.02
);
EqualityWithinToleranceFact(
EstimateImagOverlapBetweenStates(
common, prep1, prep2, 1, 1000000
),
0.5,
0.02
);
}
}