TechPostsFromX on Nostr: Initial State (Noisy): tensor([-0.0645+0.2452j, -0.2291+0.0207j, 0.1654+0.3621j, ...

Initial State (Noisy): tensor([-0.0645+0.2452j, -0.2291+0.0207j, 0.1654+0.3621j, -0.2081-0.2459j,
0.1684+0.1129j, -0.2021+0.0194j, -0.0751+0.3512j, -0.0630-0.3093j,
-0.1047-0.0259j, -0.2585+0.2818j])

Final State: Parameter containing:
tensor([-0.9920-0.0122j, 1.0342+0.0141j, 0.9501+0.3229j, -1.1638-0.0680j,
1.3918-0.6123j, -0.9549+0.0600j, -0.9985-0.0299j, -0.9706+0.0174j,
-0.9265+0.1672j, -0.1479-0.3774j], requires_grad=True)

Target State: tensor([ 0.1946+0.0000j, -0.0170-0.2061j, -0.1218-0.1127j, 0.3651-0.1265j,
0.1514+0.2870j, -0.0141+0.2358j, 0.0841-0.0004j, -0.5546-0.3444j,
0.1302-0.2838j, 0.0411+0.2212j])

Correlation Results:
Correlation 1: tensor([-0.2815+0.0305j, 0.4471+0.0237j, 0.3753+0.0372j, -0.2074+0.0218j,
0.3337-0.1823j, -0.3447-0.0362j, -0.1476+0.1023j, -0.3019-0.0616j,
-0.2888+0.2299j, 0.0149-0.0722j], grad_fn=<DivBackward0>)
Correlation 2: tensor([ 0.0314+0.0435j, 0.3449+0.1730j, 0.2160-0.1156j, 0.1939+0.2738j,
0.0030+0.1607j, -0.1136+0.0179j, 0.1513+0.3594j, -0.3476-0.4177j,
-0.2400+0.1002j, 0.2204+0.2702j], grad_fn=<DivBackward0>)


Source: x.com/BLUECOW009/status/1858704500418388442