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13 changes: 9 additions & 4 deletions algorithms/quantum_primitives/readme.md
Original file line number Diff line number Diff line change
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# Quantum Primitives

The examples include Generalized Quantum Signal Processing (GQSP), enabling flexible polynomial
transformations of block-encoded unitaries, as well as the Swap Test, a standard subroutine for estimating
quantum state overlaps and the Hadamard test. Together, these primitives underpin a wide range of algorithms in
Hamiltonian simulation, matrix functions, variational optimization, and quantum machine learning.
# <<<<<<< HEAD

Quantum primitives are foundational quantum algorithmic building-blocks for higher-level applications.

> > > > > > > ed4ce571 (updated the readme file)
> > > > > > > The examples include Generalized Quantum Signal Processing (GQSP), enabling flexible polynomial
> > > > > > > transformations of block-encoded unitaries, as well as the Swap Test, a standard subroutine for estimating
> > > > > > > quantum state overlaps and the Hadamard test. Together, these primitives underpin a wide range of algorithms in
> > > > > > > Hamiltonian simulation, matrix functions, variational optimization, and quantum machine learning.

- **Hadamard test** - A basic quantum primitive, utilized to extract the real part of an expectation value of
a unitary matrix.
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