CodeUniverse · package
TeNPy
many-Schmidt-probability entropy sensitivities
AD speed-up on the same differentiation workload (against finite differences) Speed-up: 88.1×
High-dimensional demo
many-Schmidt-probability entropy sensitivities
Supplied demo scenario wording.
FD components requested 1 – 256 · AD components 1024
View demo measurements
| Measure | Value |
|---|---|
| AD median (s) | 0.00003208301495760679 |
| FD median (s) | 0.0028249170864000916 |
| FD / AD | 88.05023748961324 |
| Max scaled error | 1.2166478350617355e-9 |
| AD components | 1024 |
| FD components requested | 256 |
| AD parameters | 256 |
| Repeats | 9 |
| FD components requested | AD median (s) | FD median (s) | FD / AD | Max scaled error | AD components |
|---|---|---|---|---|---|
| 1 | 1024 | 0.00003758398815989494 | 0.000012208940461277962 | 0.32484419719740804 | 8.883344886132159e-11 |
| 2 | 1024 | 0.00003287498839199543 | 0.000022416934370994568 | 0.6818841760094053 | 8.883344886132159e-11 |
| 4 | 1024 | 0.00003316602669656277 | 0.00004554097540676594 | 1.373121231054357 | 6.539448583332567e-10 |
| 8 | 1024 | 0.000032542040571570396 | 0.00009024993050843477 | 2.7733334764286277 | 1.0390706797270653e-9 |
| 16 | 1024 | 0.000032540992833673954 | 0.0001764169428497553 | 5.421375547804311 | 1.0390706797270653e-9 |
| 32 | 1024 | 0.0000327499583363533 | 0.00035975000355392694 | 10.98474690743637 | 1.0390706797270653e-9 |
| 64 | 1024 | 0.00003258301876485348 | 0.0006929580122232437 | 21.26745889397826 | 1.0451233819453644e-9 |
| 128 | 1024 | 0.000032374984584748745 | 0.0013625830179080367 | 42.087526384488974 | 1.1850235511564225e-9 |
| 256 | 1024 | 0.00003208301495760679 | 0.0028249170864000916 | 88.05023748961324 | 1.2166478350617355e-9 |