Anurudh Peduri comments

Results 48 comments of


                                            Anurudh Peduri

Remove attribute `power` and default to `Power`/`GateWithRegisters.pow`

@tanujkhattar PTAL

Remove attribute `power` and default to `Power`/`GateWithRegisters.pow`

@tanujkhattar @mpharrigan PTAL

Should not override `.controlled` for custom controlled implementations

We should also remove this: https://github.com/quantumlib/Qualtran/blob/c78dd0b5639b7fb4f471b47d59ff13042ca044c4/qualtran/_infra/gate_with_registers.py#L446-L448

Should not override `.controlled` for custom controlled implementations

related issue #649

Multi-Control Pauli Decomposition is probably incorrect

#790 added tensor tests to verify the action, closing.

`bloq.call_graph()` should preserve ordering of successors across calls / `build_call_graph` should return a Dict instead of Set

@mpharrigan should the bloq author ensure that each unique bloq in the `BloqCountT` occurs only once? i.e. is something like this valid: ```py counts = set() if condition_1: counts.add((XGate(), 1))...

[GQSP] Optimally scaling polynomial approximations

The current simulation tests use up to ~ 300. We would ideally want to test it on degrees upto 1e7.

Qualtran to QIR conversion

This may be of interest: https://docs.pennylane.ai/projects/catalyst/en/latest/modules/mlir.html It is an LLVM-MLIR based compiler, which then lowers to QIR (LLVM). MLIR is closer to qualtran in representation, with more high-level constructs, so...

Calculate complementary polynomial for QSP using flip convolution.

> I also found that the test_generalized_real_qsp_with_symbolic_signal_matrix fails with the new qsp method. The test will run 10 random polynomials of each degree. Oddly enough, most of them pass the...

Calculate complementary polynomial for QSP using flip convolution.

@tanujkhattar good to go % hardcoded random seed