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Jan 16, 2021
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
Take the following example:
from qiskit import QuantumCircuit
from qiskit.circuit.library import ZGate
qc = QuantumCircuit(3)
qc.append(ZGate().control(2, ctrl_state='01'), range(3))
The text
and latex
drawer outputs are the following:
qc.draw('text')
q_0: ─■─
│
q_1: ─o─
│
q_2: ─■─
qc.draw('latex')
, and maybe longer t
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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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Jun 2, 2020 - Python
Describe the bug
If I provide Partitioned an array of length N and partition sizes of total length N, the return contains an extra partition of length 0 in the end. This makes it inconvenient to use: if I want to split an array into K parts of equal length ([example](https://github.com/microsoft/Quantum
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Several katas could have better error messaging:
DumpMachine
toAssertEqualOnZeroState
)