quantum-computing

Currently task 1.3 (Validate inputs to QPE) is covered by two types of tests - Q# test TestAssertIsEigenstate_True that checks that the solution doesn't throw exceptions on inputs that are a valid unitary-eigenstate pair, and C# tests that check that the solution does throw exception on inputs that are not a valid un

Here are some examples:

• Root README is missing machine learning category of samples
• README in algorithms is missing repeat-until-success and sudoku-grover
• [README in diagnostics](https://github.com/microsoft/Quantum/blob/main/samples/diagnostics/RE

Environment

• Qiskit Terra version: 0.21
• Python version: 3.10
• Operating system: osx

What is happening?

marginal_distribution raises error when passes a NumPy array of indices:

marginal_distribution(counts, np.asarray([0, 2]))

--> 225 if indices is not None and (not indices or not set(indices).issubset(range(num_clbits))):
226 rais

Is your feature request related to a use case or problem? Please describe.
Right now a lot of modules (in particular tests) are pretty free form with how they do imports. It's a good practice to import modules wherever possible.

bad:

from cirq.devices import GridQubit

good:

from cirq import devices

devices.GridQubit(whatever)

**Describe the soluti

Informations

• Qiskit version:
• Python version:
• Operating system:

What is the current behavior?

Each section in the tutorial page has its own index page showing up as an icon similar to the tutorials itself which is confusing.

Right now, qml.operation.expand_matrix is often called in a code-block like:

if wire_order is None or self.wires == Wires(wire_order):
    return canonical_matrix

expand_matrix(canonical_matrix, wires=self.wires, wire_order=wire_order)

see [pennylane/operation.py Line 587](https://github.com/PennyLaneAI/pennylane/blob/b6fc5380abea6215661704ebe2f5cb8e7a599635/pennylane/operation.p

To get this codebase up to standard, we need to add type hints. At the very least, perhaps we should start insisting that all new code has type hints added, but moreover we need to add typing to the code that currently exists.

This is a pretty large project, but luckily it can be done incrementally - I believe at this point it's a stretch goal for v1, if anyone wants to help it would be much ap

Describe the Issue!

Most of the functions in random_objects.py take an N input and an optional dims. Those input are redundant as the size (N) can be obtained from the dims. However the way they handle this inconsistent:

• Many functions, such as rand_super, rand_dm, check that the dims matches the size and raise an error if it doesn't.
• rand_dm_ginibre, rand_super_bcsz j

What is the expected enhancement?

The openQASM project should have release notes associated with each tagged release (see #321). These should contain a summary of all changes included in the prepared release (or the development branch). For ease (and distribution) of maintenance, we should consider using reno which has been used with success in Qiski

Describe the problem

See the page about density matrix, part Trace and Positivity Conditions

Its trace must be equal to one:

Remembering that the trace of a matrix (denoted as Tr) is the sum of its diagonal terms, we have:

Is your feature request related to a problem? Please describe.
Adding concrete examples to API documentation comments can help clarify how Q# functions and operations are to be used. For example, the documentation for Microsoft.Quantum.Arrays.ElementsAt lists how the function acts on a variety of arrays:

scale-out-matrix-phases takes matrices $A$ and $B$ and attempts to find a value $\phi := e^{i\theta}$ that most accurately allows $B[:,0] \approx \phi A[:,0]$. Here, '$\approx$' means double~. If, for any entry, it finds that there is no $\phi$ within double-noodle precision, it'll error saying that they're not in the same projective class.

I like to have another function that calculate