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Circuit: add default dtype and convert_eager options #273

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merged 6 commits into from
Dec 18, 2024
Merged

Circuit: add default dtype and convert_eager options #273

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e928b29
Circuit: add default dtype and convert_eager options
jcmgray Dec 12, 2024
1dc14d5
TensorNetwork: add .backend and .dtype_name properties
jcmgray Dec 13, 2024
69f28e5
TN equalize_norms add check_zero option and turn on for simplifying
jcmgray Dec 18, 2024
08430d9
TN.full_simplify default to check_zero="auto"
jcmgray Dec 18, 2024
0fc6574
fix check_zero == -> =
jcmgray Dec 18, 2024
79cfadf
update changelog [skip ci]
jcmgray Dec 18, 2024
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3 changes: 3 additions & 0 deletions docs/changelog.md
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Expand Up @@ -8,7 +8,10 @@ Release notes for `quimb`.
**Enhancements:**

- replace all `numba` based paralellism (`prange` and parallel vectorize) with explicit thread pool based parallelism. Should be more reliable and no need to set `NUMBA_NUM_THREADS` anymore. Remove env var `QUIMB_NUMBA_PAR`.
- [`Circuit`](quimb.tensor.circuit.Circuit): add `dtype` and `convert_eager` options. `dtype` specifies what the computation should be performed in. `convert_eager` specifies whether to apply this (and any `to_backend` calls) as soon as gates are applied (the default for MPS circuit simulation) or just prior to contraction (the default for exact contraction simulation).
- [`tn.full_simplify`](quimb.tensor.tensor_core.TensorNetwork.full_simplify): add `check_zero` (by default set of `"auto"`) option which explicitly checks for zero tensor norms when equalizing norms to avoid `log10(norm)` resulting in -inf or nan. Since it creates a data dependency that breaks e.g. `jax` tracing, it is optional.
- [`schematic.Drawing`](quimb.schematic.Drawing): add `shorten` kwarg to [line drawing](quimb.schematic.Drawing.line) and [curve drawing](quimb.schematic.Drawing.curve) and examples to {ref}`schematic`.
- [`TensorNetwork`](quimb.tensor.tensor_core.TensorNetwork): add `.backend` and `.dtype_name` properties.


(whats-new-1-9-0)=
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