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Part of a larger effort to support galois field arithmetic in qualtran. xref #1419

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approval modulo some nits

qubits in each of the two input registers $a$ and $b$ that should be multiplied.
Registers:
- $x$: Input THRU register of size $m$ that stores elements from $GF(2^m)$.
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format this section like Args so it can be parsed by the autgen thing. The register names shouldn't be latex anywho since they are indeed the python strings 'x', 'y', and 'result' that we are documenting.

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done

ctrl, result[i] = bb.add(Toffoli(), ctrl=ctrl, target=result[i])
x[j], y[i - j] = ctrl[0], ctrl[1]

# Done :)
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:)


def on_classical_vals(self) -> Dict[str, int]:
return {'reg': 0}
return {'reg': self.dtype.from_bits([0] * self.dtype.num_qubits)}
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This is fine for now, but let's add this to the forthcoming issue to track "friction related to adding new data types that aren't integers". Specifically: having allocate always allocate a bunch of zero bits that get interpreted in whatever encoding the dtype specifies is a fine choice but it's a choice nonetheless that we should probably discuss in the broader context of datatypes and it should be documented somewhere.

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Added to #1437

def test_gf2_multiplication_classical_sim(m):
bloq = GF2Multiplication(m)
GFM = GF(2**m)
for x in GFM.elements:
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I think you should be able to use @NoureldinYosri 's helper function for writing tests like these

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What's the helper function? assert_consistent_classical_action ?

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refactored using assert_consistent_classical_action

for y in GFM.elements:
xout, yout, resout = bloq.call_classically(x=x, y=y)
assert x == xout and y == yout
expected_res = x * y
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Usually, we can put the "reference behavior" as the bloq's on_classical_vals method and test call_classically's outputs on bloq vs bloq.decompose_bloq().

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added on_classical_vals to the bloq

bloq_autotester(_gf2_multiplication_symbolic)


@pytest.mark.parametrize('m', [2, 3, 4, 5])
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This is a borderline case, but consider factoring into a slow, exhaustive test marked with slow and a quick check that finishes in < 2 seconds.

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done

@tanujkhattar tanujkhattar enabled auto-merge (squash) October 4, 2024 21:15
@tanujkhattar
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Addressed all nits, merging now.

@tanujkhattar tanujkhattar merged commit 14e6fe7 into quantumlib:main Oct 4, 2024
shab5 pushed a commit that referenced this pull request Oct 7, 2024
* Add GF2Multiplication for multiplication over GF(2^m)

* Fix formatting

* Address nits
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2 participants