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Disentangle SWAP with fsm #1297
base: qstate_mlir_interpreter_fsm
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Disentangle SWAP with fsm #1297
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// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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// This algorithm is taken from https://arxiv.org/pdf/2012.07711, table 1 |
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SWAP gate is table 6
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PropagateSimpleStatesAnalysis &pssa = getAnalysis<PropagateSimpleStatesAnalysis>(); |
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We have a tutorial for the basic catalyst mlir structure, and how to write a mlir pass. The tutorial covers more than what we need to know here. Here we just need to know two things:
- The
canScheduleOn
method above determines that the pass will only be applied to function operations, i.e. things that look likefunc.func ... {...}
in the IR - The
runOnOperation
method here determines what transformations will be performed on the target operations.
In other words, for each function, the runOnOperation
method happens once.
Let's take a look at the construction of the PropagateSimpleStatesAnalysis
object. The object carries a map, which records the abstract enum qubit state of each qubit value. The write into the map happens upon the analysis object's construction. If the analysis object is only constructed once, the map will be written into only once.
Say you perform some transformation that adds a new gate. At the time of the analysis object's creation above (when the pass is run on the function, but before the walk visitor has created the new gate op), the new gate wouldn't have existed yet, so it wouldn't be in the map.
However, looking at your code, it seems like you haven't created any gates yet. It would be helpful to see your test case! Note that the existing PropagateSimpleStatesAnalysis
is only my first draft so there could be bugs : )
What might be helpful is, since the assertion failure is saying some qubit values don't have corresponding states in the map, before the assertion line, we can print out the operation being analyzed, and print out the map, to see what's going on. In mlir you can print via the following:
Thing thing_I_want_to_print;
llvm::errs() << thing_I_want_to_print;
Don't hesitate to let me know if you get any progress!
Thanks @paul0403. I run into the same error when I run Here's my input .mlir code to prepare CNOT with both qubits in
Even The tests for I also tested |
Aha! Looking at my "todo" comment on the proapagate state analysis, you will see what qubit values get set to the "zero" enum state. Knowing that now, what do you think the course of action should be? (Thanks for finding this bug! 💯) |
Fixed it :) I decided to call PSSA only when
Seems to be working for non-SWAP gates and also when both qubits in the SWAP are in the same basis state. |
It took very long time to figure out but at this moment in time, both of these passes would not work without having I'll use this structure for now (i.e. have the extracts in the beginning) |
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Yes! This was deliberate, since the first occurrence of a qubit in a function doesn't actually mean it's the starting qubit on a wire: the function can be called by some other circuit function as a subroutine! Excellent work, I'll take a look later : ) |
I got all the cases where SWAP is replaced by 1 single qubit gate on each qubit. Now trying to figure out the way to insert additional operations on the same wire. |
Hi @ritu-thombre99 , impressive work! 💯 I think we are good for now. The catalyst IR actually handles control a bit differently because of the existence of If you have time and want to add some tests that's also good with me, but I think what you've done is very good already! (Sorry for the issue being a bit long) |
@paul0403 Found one bug while testing, the references of the end (i.e. I fixed that and also added all possible 25 test cases to disentangle SWAP. This was fun to work on :) |
I'd be very happy to contribute to |
@ritu-thombre99 Thanks! Writing mlir passes in their API, and writing associated filecheck lit tests, is always daunting for newcomers. If anything, I hope this experience helped you learn a bit about compilers and abstract program representations, and how a circuit drawn in a textbook or on a blackboard can be algorithmically and automatically represented, processed and even optimized by a compiler. Glad you found it fun : ) I will now release you from any further responsibility on this issue. We will get back to you in a bit. |
Context:
Disentangle SWAP gates using finite state machine pass implemented in #1154
Description of the Change:
disentangle-SWAP
passdisentangle-SWAP
passBenefits:
Reduce the number of CNOT gates required to implement SWAP to a few CNOTs and single-qubit gates for basis states
Related issue: #1268