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Upgrade qsim to 0.8.0. #496

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Merged
merged 3 commits into from
Mar 4, 2021
Merged

Upgrade qsim to 0.8.0. #496

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af98538
Upgrade qsim to 0.8.0.
MichaelBroughton Mar 4, 2021
d8c868b
Merge branch 'master' into qsim08
MichaelBroughton Mar 4, 2021
e1eb475
Merge branch 'master' into qsim08
MichaelBroughton Mar 4, 2021
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6 changes: 3 additions & 3 deletions WORKSPACE
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Original file line number Diff line number Diff line change
Expand Up @@ -67,9 +67,9 @@ http_archive(

http_archive(
name = "qsim",
sha256 = "e2853379bde52d6277f9be4b80f54d32b3b27f7242a6c561cb34fb12d823b80e",
strip_prefix = "qsim-0.7.1-dev-20210126",
urls = ["https://github.com/quantumlib/qsim/archive/v0.7.1-dev+20210126.zip"],
sha256 = "5bc53d1d8c4689537d6f2cca20a67c8a1488f80a41cc412ca18d54afb6c21648",
strip_prefix = "qsim-0.8.0",
urls = ["https://github.com/quantumlib/qsim/archive/v0.8.0.zip"],
)

# Added for crosstool in tensorflow.
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10 changes: 5 additions & 5 deletions tensorflow_quantum/core/ops/tfq_calculate_unitary_op.cc
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Expand Up @@ -106,19 +106,19 @@ class TfqCalculateUnitaryOp : public tensorflow::OpKernel {

// Begin simulation.
int largest_nq = 1;
Unitary u = UnitarySpace(largest_nq, tfq_for).CreateUnitary();
Unitary u = UnitarySpace(tfq_for).CreateUnitary(largest_nq);

// Simulate programs one by one. Parallelizing over state vectors
// we no longer parallelize over circuits. Each time we encounter a
// a larger circuit we will grow the unitary as nescessary.
for (int i = 0; i < fused_circuits.size(); i++) {
int nq = num_qubits[i];
UCalculator sim = UCalculator(nq, tfq_for);
UnitarySpace us = UnitarySpace(nq, tfq_for);
UCalculator sim = UCalculator(tfq_for);
UnitarySpace us = UnitarySpace(tfq_for);
if (nq > largest_nq) {
// need to switch to larger unitaryspace.
largest_nq = nq;
u = us.CreateUnitary();
u = us.CreateUnitary(nq);
}
us.SetIdentity(u);
for (int j = 0; j < fused_circuits[i].size(); j++) {
Expand All @@ -136,7 +136,7 @@ class TfqCalculateUnitaryOp : public tensorflow::OpKernel {
uint64_t k = l % (1 << max_num_qubits);
if (k < crossover && j < crossover) {
output_tensor(static_cast<ptrdiff_t>(i), static_cast<ptrdiff_t>(j),
static_cast<ptrdiff_t>(k)) = us.GetEntry(u, j, k);
static_cast<ptrdiff_t>(k)) = us.GetEntry(u, k, j);
} else {
output_tensor(static_cast<ptrdiff_t>(i), static_cast<ptrdiff_t>(j),
static_cast<ptrdiff_t>(k)) =
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