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Oxidize Commutation Analysis #12995

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merged 118 commits into from
Sep 4, 2024

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Summary

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Part of #12208, oxidises CommutationAnalysis. This is based on PR #12959 (and thus #12550) and PR #12870 and shows promising runtime improvements in preliminary tests. When #12550 is merged, the interface to CommutationChecker needs a little thought, then this should be ready to go, in principle.

sbrandhsn and others added 30 commits July 30, 2024 13:13
This commit migrates the entirety of the `DAGCircuit` class to Rust. It
fully replaces the Python version of the class. The primary advantage
of this migration is moving from a Python space rustworkx directed graph
representation to a Rust space petgraph (the upstream library for
rustworkx) directed graph. Moving the graph data structure to rust
enables us to directly interact with the DAG directly from transpiler
passes in Rust in the future. This will enable a significant speed-up in
those transpiler passes. Additionally, this should also improve the
memory footprint as the DAGCircuit no longer stores `DAGNode`
instances, and instead stores a lighter enum NodeType, which simply
contains a `PackedInstruction` or the wire objects directly.

Internally, the new Rust-based `DAGCircuit` uses a `petgraph::StableGraph`
with node weights of type `NodeType` and edge weights of type `Wire`. The
NodeType enum contains variants for `QubitIn`, `QubitOut`, `ClbitIn`,
`ClbitOut`, and `Operation`, which should save us from all of the
`isinstance` checking previously needed when working with `DAGNode` Python
instances. The `Wire` enum contains variants `Qubit`, `Clbit`, and `Var`.

As the full Qiskit data model is not rust-native at this point while
all the class code in the `DAGCircuit` exists in Rust now, there are
still sections that rely on Python or actively run Python code via Rust
to function. These typically involve anything that uses `condition`,
control flow, classical vars, calibrations, bit/register manipulation,
etc. In the future as we either migrate this functionality to Rust or
deprecate and remove it this can be updated in place to avoid the use
of Python.

API access from Python-space remains in terms of `DAGNode` instances to
maintain API compatibility with the Python implementation. However,
internally, we convert to and deal in terms of NodeType. When the user
requests a particular node via lookup or iteration, we inflate an ephemeral
`DAGNode` based on the internal `NodeType` and give them that. This is very
similar to what was done in Qiskit#10827 when porting CircuitData to Rust.

As part of this porting there are a few small differences to keep in
mind with the new Rust implementation of DAGCircuit. The first is that
the topological ordering is slightly different with the new DAGCircuit.
Previously, the Python version of `DAGCircuit` using a lexicographical
topological sort key which was basically `"0,1,0,2"` where the first
`0,1` are qargs on qubit indices `0,1` for nodes and `0,2` are cargs
on clbit indices `0,2`. However, the sort key has now changed to be
`(&[Qubit(0), Qubit(1)], &[Clbit(0), Clbit(2)])` in rust in this case
which for the most part should behave identically, but there are some
edge cases that will appear where the sort order is different. It will
always be a valid topological ordering as the lexicographical key is
used as a tie breaker when generating a topological sort. But if you're
relaying on the exact same sort order there will be differences after
this PR. The second is that a lot of undocumented functionality in the
DAGCircuit which previously worked because of Python's implicit support
for interacting with data structures is no longer functional. For
example, previously the `DAGCircuit.qubits` list could be set directly
(as the circuit visualizers previously did), but this was never
documented as supported (and would corrupt the DAGCircuit). Any
functionality like this we'd have to explicit include in the Rust
implementation and as they were not included in the documented public
API this PR opted to remove the vast majority of this type of
functionality.

The last related thing might require future work to mitigate is that
this PR breaks the linkage between `DAGNode` and the underlying
`DAGCirucit` object. In the Python implementation the `DAGNode` objects
were stored directly in the `DAGCircuit` and when an API method returned
a `DAGNode` from the DAG it was a shared reference to the underlying
object in the `DAGCircuit`. This meant if you mutated the `DAGNode` it
would be reflected in the `DAGCircuit`. This was not always a sound
usage of the API as the `DAGCircuit` was implicitly caching many
attributes of the DAG and you should always be using the `DAGCircuit`
API to mutate any nodes to prevent any corruption of the `DAGCircuit`.
However, now as the underlying data store for nodes in the DAG are
no longer the python space objects returned by `DAGCircuit` methods
mutating a `DAGNode` will not make any change in the underlying
`DAGCircuit`. This can come as quite the surprise at first, especially
if you were relying on this side effect, even if it was unsound.

It's also worth noting that 2 large pieces of functionality from
rustworkx are included in this PR. These are the new files
`rustworkx_core_vnext` and `dot_utils` which are rustworkx's VF2
implementation and its dot file generation. As there was not a rust
interface exposed for this functionality from rustworkx-core there was
no way to use these functions in rustworkx. Until these interfaces
added to rustworkx-core in future releases we'll have to keep these
local copies. The vf2 implementation is in progress in
Qiskit/rustworkx#1235, but `dot_utils` might make sense to keep around
longer term as it is slightly modified from the upstream rustworkx
implementation to directly interface with `DAGCircuit` instead of a
generic graph.

Co-authored-by: Matthew Treinish <[email protected]>
Co-authored-by: Raynel Sanchez <[email protected]>
Co-authored-by: Elena Peña Tapia <[email protected]>
Co-authored-by: Alexander Ivrii <[email protected]>
Co-authored-by: Eli Arbel <[email protected]>
Co-authored-by: John Lapeyre <[email protected]>
Co-authored-by: Jake Lishman <[email protected]>
Right now there is a bug in the matplotlib circuit visualizer likely
caused by the new `__eq__` implementation for `DAGOpNode` that didn't
exist before were some gates are missing from the visualization. In the
interest of unblocking this PR this commit updates the references for
these cases temporarily until this issue is fixed.
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coveralls commented Sep 2, 2024

Pull Request Test Coverage Report for Build 10705679280

Warning: This coverage report may be inaccurate.

This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.

Details

  • 107 of 110 (97.27%) changed or added relevant lines in 6 files are covered.
  • 359 unchanged lines in 8 files lost coverage.
  • Overall coverage increased (+0.005%) to 89.173%

Changes Missing Coverage Covered Lines Changed/Added Lines %
crates/accelerate/src/commutation_analysis.rs 101 104 97.12%
Files with Coverage Reduction New Missed Lines %
crates/circuit/src/interner.rs 1 93.75%
crates/qasm2/src/lex.rs 3 92.73%
qiskit/transpiler/passes/optimization/hoare_opt.py 4 98.21%
crates/circuit/src/dag_node.rs 7 81.93%
crates/circuit/src/bit_data.rs 7 94.57%
crates/qasm2/src/parse.rs 18 96.69%
crates/circuit/src/circuit_instruction.rs 37 86.32%
crates/circuit/src/dag_circuit.rs 282 88.93%
Totals Coverage Status
Change from base Build 10685536217: 0.005%
Covered Lines: 72599
Relevant Lines: 81414

💛 - Coveralls

such as the relative placement and the parameter hash
@sbrandhsn sbrandhsn mentioned this pull request Sep 3, 2024
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This is looking good thanks for doing this. I left some small mostly mechanical comments inline. I still want to review the pass logic to double check it all matches up exactly. Especially as there seem to be a fair amount of panic!() calls which I want to double check and make sure we're not masking potential user actionable error conditions (or indicate a logic issue).

use qiskit_circuit::dag_circuit::{DAGCircuit, NodeType, Wire};
use rustworkx_core::petgraph::stable_graph::NodeIndex;

type AIndexSet<T> = IndexSet<T, BuildHasherDefault<AHasher>>;
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This can be expressed a bit more succinctly with:

Suggested change
type AIndexSet<T> = IndexSet<T, BuildHasherDefault<AHasher>>;
type AIndexSet<T> = IndexSet<T, ::ahash::RandomState>;

That being said I'm not sure I'm a fan of using a type alias for this instead of just using IndexSet<NodeIndex, RandomState> (assuming a use ahash::RandomState is added) where we need to define a new indexset.

crates/accelerate/src/commutation_analysis.rs Outdated Show resolved Hide resolved
crates/circuit/src/dag_circuit.rs Outdated Show resolved Hide resolved
crates/circuit/src/dag_circuit.rs Outdated Show resolved Hide resolved
crates/accelerate/src/commutation_analysis.rs Outdated Show resolved Hide resolved
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Overall this LGTM, after the most recent update the code looks good to me. I had a few questions inline nothing really blocking. But at least for the data structure I'd like to know the rationale behind using a HashMap<Wire, Vec<IndexSet<NodeIndex>> as the type when in python it was all lists. I can believe using a Vec<IndexSet> as the weight here is the better choice but I'd like to know the rationale before approving.

let mut commutation_set: HashMap<Wire, CommutingNodes> = HashMap::new();
let mut node_indices: HashMap<(NodeIndex, Wire), usize> = HashMap::new();

let max_num_qubits = 3;
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Not that it matters, but I'd have done this with:

const MAX_NUM_QUBITS: u32 = 3;

outside the function definition because it is never changed. But realistically the compiler will likely end up with the same generated code in both cases so it doesn't matter.

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Still consistency is nice -- I'll move it outside 👍🏻

Comment on lines 64 to 134
for qubit in 0..dag.num_qubits() {
let wire = Wire::Qubit(Qubit(qubit as u32));

for current_gate_idx in dag.nodes_on_wire(py, &wire, false) {
// get the commutation set associated with the current wire, or create a new
// index set containing the current gate
let commutation_entry = commutation_set
.entry(wire.clone())
.or_insert_with(|| vec![AIndexSet::from_iter([current_gate_idx])]);

// we can unwrap as we know the commutation entry has at least one element
let last = commutation_entry.last_mut().unwrap();

// if the current gate index is not in the set, check whether it commutes with
// the previous nodes -- if yes, add it to the commutation set
if !last.contains(&current_gate_idx) {
let mut all_commute = true;

for prev_gate_idx in last.iter() {
// if the node is an input/output node, they do not commute, so we only
// continue if the nodes are operation nodes
if let (NodeType::Operation(packed_inst0), NodeType::Operation(packed_inst1)) =
(&dag.dag[current_gate_idx], &dag.dag[*prev_gate_idx])
{
let op1 = packed_inst0.op.view();
let op2 = packed_inst1.op.view();
let params1 = packed_inst0.params_view();
let params2 = packed_inst1.params_view();
let qargs1 = dag.get_qargs(packed_inst0.qubits);
let qargs2 = dag.get_qargs(packed_inst1.qubits);
let cargs1 = dag.get_cargs(packed_inst0.clbits);
let cargs2 = dag.get_cargs(packed_inst1.clbits);

all_commute = commutation_checker.commute_inner(
py,
&op1,
params1,
packed_inst0.extra_attrs.as_deref(),
qargs1,
cargs1,
&op2,
params2,
packed_inst1.extra_attrs.as_deref(),
qargs2,
cargs2,
max_num_qubits,
)?;
if !all_commute {
break;
}
} else {
all_commute = false;
break;
}
}

if all_commute {
// all commute, add to current list
last.insert(current_gate_idx);
} else {
// does not commute, create new list
commutation_entry.push(AIndexSet::from_iter([current_gate_idx]))
}
}

node_indices.insert(
(current_gate_idx, wire.clone()),
commutation_entry.len() - 1,
);
}
}
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This is a probably a good candidate for parallelization. We can naively make this a parallel iterator for the outer loop like:

0..dag.num_qubits().into_par_iter().map(|qubit| Wire::Qubit(Qubit(qubit as u32))).for_each(|wire| {

We'll probably have to play some games around synchronization, although we can probably change it into an iterator collector. But we should do this in a follow up because it might require some deeper changes (as the compiler points them out).

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Yeah good point -- I'll have a look in parallel 🙂 I was trying to propagate the Result coming from commute_inner but if we collect then we can still do that 👍🏻

crates/accelerate/src/commutation_analysis.rs Show resolved Hide resolved
crates/accelerate/src/commutation_analysis.rs Outdated Show resolved Hide resolved
Comment on lines 180 to 181
// we could cache the py_wires to avoid this match and the python object creation,
// but this didn't make a noticable difference in runtime
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Realistically the BitData you're accessing here is the cache. It's basically just doing a vec lookup and returning the python object.

That being said I'm wondering can wire here be anything besides a Qubit? Not that it really matters because this code is correct and will handle the other cases as expected.

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No you're right, it cannot, since we explicitly only iterate over 0..dag.num_qubits().map(|i| Wire::Qubit(i)). We can change the code to expect a Qubit, that might be a bit cleaner to the readers

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I was wondering what happens if a dag has non-continuous qubits, i.e. gaps in the set of qubits such as qubits 0...3 and 6..10 with no qubits at index 4, 5 - can this happen and was this supported in the Python implementation?

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The indices can't ever be non-continuous in Rust or Python. They're literally the index in the list/Vec for dag.qubits. So if you remove a qubit everything has a shift penalty. The rust code just makes this a bit more explicit than it ever was in Python because there was a layer of indirection around it in Python with the bit objects.

- vec<vec> is slightly faster than vec<indexset>
- add custom types to satisfies clippy's complex type complaint
- don't handle Clbit/Var
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I ran ASV comparing this against main to see what the performance looks like and it's really good:

Benchmarks that have improved:

| Change   | Before [dff9e812]    | After [70735707] <oxidize-commutative-analysis>   |   Ratio | Benchmark (Parameter)                                             |
|----------|----------------------|---------------------------------------------------|---------|-------------------------------------------------------------------|
| -        | 241±2ms              | 217±0.6ms                                         |    0.9  | utility_scale.UtilityScaleBenchmarks.time_bv_100('cx')            |
| -        | 250±0.8ms            | 224±2ms                                           |    0.9  | utility_scale.UtilityScaleBenchmarks.time_bv_100('cz')            |
| -        | 4.08±0.02s           | 3.64±0.01s                                        |    0.89 | utility_scale.UtilityScaleBenchmarks.time_qv('ecr')               |
| -        | 722±6ms              | 646±3ms                                           |    0.89 | utility_scale.UtilityScaleBenchmarks.time_square_heisenberg('cz') |
| -        | 1.38±0.01s           | 1.20±0.01s                                        |    0.87 | utility_scale.UtilityScaleBenchmarks.time_qaoa('ecr')             |
| -        | 1.75±0.01s           | 1.46±0.01s                                        |    0.83 | utility_scale.UtilityScaleBenchmarks.time_qaoa('cz')              |
| -        | 6.89±0.02s           | 3.61±0.03s                                        |    0.52 | utility_scale.UtilityScaleBenchmarks.time_qft('cz')               |
| -        | 6.42±0.02s           | 3.18±0.02s                                        |    0.5  | utility_scale.UtilityScaleBenchmarks.time_qft('ecr')              |
| -        | 5.53±0.01s           | 2.46±0.02s                                        |    0.44 | utility_scale.UtilityScaleBenchmarks.time_qft('cx')               |
| -        | 84.8±1ms             | 33.1±0.3ms                                        |    0.39 | passes.PassBenchmarks.time_commutation_analysis(14, 1024)         |
| -        | 133±0.8ms            | 48.7±0.2ms                                        |    0.37 | passes.PassBenchmarks.time_commutation_analysis(20, 1024)         |
| -        | 25.9±0.8ms           | 9.55±0.1ms                                        |    0.37 | passes.PassBenchmarks.time_commutation_analysis(5, 1024)          |
| -        | 36.6±0.2ms           | 13.3±0.2ms                                        |    0.36 | utility_scale.UtilityScaleBenchmarks.time_bvlike('cz')            |
| -        | 36.6±0.2ms           | 13.0±0.07ms                                       |    0.35 | utility_scale.UtilityScaleBenchmarks.time_bvlike('cx')            |
| -        | 37.1±0.1ms           | 13.1±0.07ms                                       |    0.35 | utility_scale.UtilityScaleBenchmarks.time_bvlike('ecr')           |

Benchmarks that have stayed the same:

| Change   | Before [dff9e812]    | After [70735707] <oxidize-commutative-analysis>   | Ratio   | Benchmark (Parameter)                                                                                           |
|----------|----------------------|---------------------------------------------------|---------|-----------------------------------------------------------------------------------------------------------------|
|          | 5.40±0.03s           | 4.81±0.03s                                        | ~0.89   | utility_scale.UtilityScaleBenchmarks.time_qv('cz')                                                              |
|          | 0                    | 0                                                 | n/a     | utility_scale.UtilityScaleBenchmarks.track_bvlike_depth('cx')                                                   |
|          | 0                    | 0                                                 | n/a     | utility_scale.UtilityScaleBenchmarks.track_bvlike_depth('cz')                                                   |
|          | 0                    | 0                                                 | n/a     | utility_scale.UtilityScaleBenchmarks.track_bvlike_depth('ecr')                                                  |
|          | 9.83±0.07ms          | 10.3±0.08ms                                       | 1.05    | utility_scale.UtilityScaleBenchmarks.time_parse_qaoa_n100('ecr')                                                |
|          | 34.4±0.1ms           | 36.0±0.1ms                                        | 1.05    | utility_scale.UtilityScaleBenchmarks.time_parse_square_heisenberg_n100('cx')                                    |
|          | 34.3±0.2ms           | 36.0±0.1ms                                        | 1.05    | utility_scale.UtilityScaleBenchmarks.time_parse_square_heisenberg_n100('cz')                                    |
|          | 171±0.8ms            | 177±0.7ms                                         | 1.04    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(5, 1024, ['rx', 'ry', 'rz', 'r', 'rxx', 'id'])  |
|          | 184±1ms              | 191±0.3ms                                         | 1.04    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(5, 1024, ['rz', 'x', 'sx', 'cx', 'id'])         |
|          | 166±0.4ms            | 173±0.7ms                                         | 1.04    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(5, 1024, ['u', 'cx', 'id'])                     |
|          | 9.87±0.05ms          | 10.3±0.03ms                                       | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_qaoa_n100('cx')                                                 |
|          | 9.92±0.05ms          | 10.3±0.09ms                                       | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_qaoa_n100('cz')                                                 |
|          | 106±0.3ms            | 110±0.5ms                                         | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_qft_n100('cx')                                                  |
|          | 107±0.6ms            | 111±0.5ms                                         | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_qft_n100('cz')                                                  |
|          | 106±0.8ms            | 110±0.6ms                                         | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_qft_n100('ecr')                                                 |
|          | 34.5±0.5ms           | 35.8±0.2ms                                        | 1.04    | utility_scale.UtilityScaleBenchmarks.time_parse_square_heisenberg_n100('ecr')                                   |
|          | 554±2ms              | 570±2ms                                           | 1.03    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(14, 1024, ['rx', 'ry', 'rz', 'r', 'rxx', 'id']) |
|          | 582±2ms              | 599±2ms                                           | 1.03    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(14, 1024, ['rz', 'x', 'sx', 'cx', 'id'])        |
|          | 549±2ms              | 563±4ms                                           | 1.02    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(14, 1024, ['u', 'cx', 'id'])                    |
|          | 908±4ms              | 925±2ms                                           | 1.02    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(20, 1024, ['rx', 'ry', 'rz', 'r', 'rxx', 'id']) |
|          | 947±2ms              | 966±3ms                                           | 1.02    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(20, 1024, ['rz', 'x', 'sx', 'cx', 'id'])        |
|          | 896±6ms              | 914±3ms                                           | 1.02    | passes.MultipleBasisPassBenchmarks.time_optimize_1q_commutation(20, 1024, ['u', 'cx', 'id'])                    |
|          | 3.70±0.1s            | 3.73±0.01s                                        | 1.01    | utility_scale.UtilityScaleBenchmarks.time_circSU2('cx')                                                         |
|          | 395                  | 395                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_bv_100_depth('cx')                                                   |
|          | 397                  | 397                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_bv_100_depth('cz')                                                   |
|          | 397                  | 397                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_bv_100_depth('ecr')                                                  |
|          | 300                  | 300                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_circSU2_depth('cx')                                                  |
|          | 300                  | 300                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_circSU2_depth('cz')                                                  |
|          | 300                  | 300                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_circSU2_depth('ecr')                                                 |
|          | 1607                 | 1607                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qaoa_depth('cx')                                                     |
|          | 1622                 | 1622                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qaoa_depth('cz')                                                     |
|          | 1622                 | 1622                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qaoa_depth('ecr')                                                    |
|          | 1954                 | 1954                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qft_depth('cx')                                                      |
|          | 1954                 | 1954                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qft_depth('cz')                                                      |
|          | 1954                 | 1954                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qft_depth('ecr')                                                     |
|          | 2709                 | 2709                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qv_depth('cx')                                                       |
|          | 2709                 | 2709                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qv_depth('cz')                                                       |
|          | 2709                 | 2709                                              | 1.00    | utility_scale.UtilityScaleBenchmarks.track_qv_depth('ecr')                                                      |
|          | 462                  | 462                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_square_heisenberg_depth('cx')                                        |
|          | 462                  | 462                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_square_heisenberg_depth('cz')                                        |
|          | 462                  | 462                                               | 1.00    | utility_scale.UtilityScaleBenchmarks.track_square_heisenberg_depth('ecr')                                       |
|          | 3.80±0.06s           | 3.73±0.1s                                         | 0.98    | utility_scale.UtilityScaleBenchmarks.time_circSU2('cz')                                                         |
|          | 3.91±0.02s           | 3.85±0.2s                                         | 0.98    | utility_scale.UtilityScaleBenchmarks.time_circSU2('ecr')                                                        |
|          | 2.87±0.02s           | 2.74±0.02s                                        | 0.95    | utility_scale.UtilityScaleBenchmarks.time_qv('cx')                                                              |
|          | 450±6ms              | 423±5ms                                           | 0.94    | utility_scale.UtilityScaleBenchmarks.time_square_heisenberg('cx')                                               |
|          | 613±3ms              | 572±2ms                                           | 0.93    | utility_scale.UtilityScaleBenchmarks.time_square_heisenberg('ecr')                                              |
|          | 241±0.5ms            | 222±1ms                                           | 0.92    | utility_scale.UtilityScaleBenchmarks.time_bv_100('ecr')                                                         |
|          | 810±6ms              | 743±5ms                                           | 0.92    | utility_scale.UtilityScaleBenchmarks.time_qaoa('cx')                                                            |

SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.
PERFORMANCE INCREASED.

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This LGTM, one super small thing in the Python code that is out of date with what got merged in for the commutation checker. It's not a bug but we just have an extra condition and comment that aren't needed anymore.

Since this PR was first written the split between the python side and
rust side of the CommutationChecker class has changed so that there are
no longer separate classes anymore. The implementations are unified and
the python space class just wraps an inner rust object. However, the
construction of the CommutationAnalysis pass was still written assuming
there was the possibility to get either a rust or Python object. This
commit fixes this and the type change on the `comm_checker` attribute by
removing the unnecessary logic.
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I fixed that last little nit and now this should be ready to merge. Thanks @sbrandhsn and @Cryoris for doing this!

@mtreinish mtreinish enabled auto-merge September 4, 2024 16:24
@mtreinish mtreinish added this pull request to the merge queue Sep 4, 2024
Merged via the queue into Qiskit:main with commit 05f6429 Sep 4, 2024
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@raynelfss raynelfss added the Changelog: New Feature Include in the "Added" section of the changelog label Nov 7, 2024
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7 participants