default topphatt

[MIWdlB]

Topphatt performance is now so good that it can be the default encoding. For systems with >100 modes, it'll start to take a noticeable amount of time. Can cross that bridge once QPUs are big enough to need it.

• encode_topphatt -> encode
• encode -> encode_naive

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[codspeed-hq]

Merging this PR will degrade performance by 19%

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

❌ 12 regressed benchmarks
✅ 44 untouched benchmarks
⏩ 100 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	test_benchmark_encode_naive[h2_6-31g-JordanWigner]	3 ms	4 ms	-26.36%
❌	Simulation	test_benchmark_encode_naive[h2o_sto-3g-JKMN]	34 ms	43.3 ms	-21.53%
❌	Simulation	test_benchmark_encode_naive[h2_6-31g-JKMN]	3 ms	3.8 ms	-21.51%
❌	Simulation	test_benchmark_encode_naive[h2_6-31g-Parity]	3 ms	3.8 ms	-20.77%
❌	Simulation	test_benchmark_encode_naive[h2_6-31g-BravyiKitaev]	3 ms	3.7 ms	-20.17%
❌	Simulation	test_benchmark_encode_naive[h2o_6-31g-JKMN]	503.3 ms	627.3 ms	-19.77%
❌	Simulation	test_benchmark_encode_naive[h2o_sto-3g-Parity]	33.9 ms	41.6 ms	-18.39%
❌	Simulation	test_benchmark_encode_naive[h2o_sto-3g-JordanWigner]	34.2 ms	41.5 ms	-17.5%
❌	Simulation	test_benchmark_encode_naive[h2o_sto-3g-BravyiKitaev]	34 ms	40.6 ms	-16.17%
❌	Simulation	test_benchmark_encode_naive[h2o_6-31g-Parity]	503.3 ms	593.2 ms	-15.17%
❌	Simulation	test_benchmark_encode_naive[h2o_6-31g-JordanWigner]	501.8 ms	590.3 ms	-14.99%
❌	Simulation	test_benchmark_encode_naive[h2o_6-31g-BravyiKitaev]	503.5 ms	591 ms	-14.79%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing default-topphatt (edbbb96) with main (74bd8a2)}

Footnotes

1. 100 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩