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quantum-computing
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Here are some examples:
- Root README is missing machine learning category of samples
- README in algorithms is missing
repeat-until-success
andsudoku-grover
- [README in diagnostics](https://github.com/microsoft/Quantum/blob/main/samples/diagnostics/RE
It would be useful to have a method SummedOp.coeffs
analogous to PauliSumOp.coeffs
. This would allow the same code to extract coefficients from both via duck typing (eg in PhaseEstimation
)
Is your feature request related to a use case or problem? Please describe.
We are noticing lots of cases where we are trying to pull out the gate used in a moment (for instance, if it is a two-qubit layer, to figure
Describe the solution you'd like
A function in cirq.Moment for get_single_gate_from_moment that returns the gate if there is only a single gate or if all gates are the
Did you find a doc bug or broken link that needs to be fixed?
English Qiskit Docs: https://qiskit.org/documentation/release_notes.html#id187
Korean Qiskit Docs: https://qiskit.org/documentation/locale/ko_KR/release_notes.html#id155
We probably might want to generate the version history table in all docs.
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Adding type hints
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 bug
When applying resolve_gates()
method to QubitCircuit
containing the FREDKIN gate, the following error is produced:
ValueError: Gate RY requires one target
To Reproduce
from qutip.qip.circuit import QubitCircuit
A = QubitCircuit(3)
A.add_gate("FREDKIN", targets=[0, 1], controls=[2])
A.resolve_gates()
It might be a good idea to check this
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For example, pylint would have caught ProjectQ-Framework/ProjectQ#19 via an undefined variable warning.
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It would be nice to allow users to set a custom value for the tensorflow dtype if they are really pushing their simulations (and aware of the memory tradeoffs). This would be a very straightforward feature to add, most likely by adjusting backend_options
to accept a dtype
argument or something similar
See, e.g., the discussion below:
You could change this line https://github.com/XanaduAI
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There seems to be confusion between 'schedule' and 'scheduler' throughout sources and doc. They seem to be used interchangeably, which seems confusing. Is a "schedule" the same as a "scheduleR"?
For example, consider the following code snippet in src/compressor/compressor.lisp
:
(let ((lschedule (make-lscheduler)))
;; load up the logical schedule
The variable lschedule
and
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Several katas could have better error messaging:
DumpMachine
toAssertEqualOnZeroState
)