Describe the feature you'd like
Currently, Amazon Braket's on-demand state vector simulator only supports the Sum observable type for AdjointGradient results. However, this is a natural construct for Expectation and Variance when shots=0 (for exact, non-sampled workloads).
How would this feature be used? Please describe.
Users would be able to construct Sum observables and measure them in Expectation and Variance when shots=0.
Describe alternatives you've considered
Right now, users have to explicitly create Expectation/Variances for each term in the sum and combine them by hand.
Additional context
This is another opportunity to carefully use dynamic threading for smaller circuits for a performance improvement.
Describe the feature you'd like Currently, Amazon Braket's on-demand state vector simulator only supports the
Sumobservable type forAdjointGradientresults. However, this is a natural construct forExpectationandVariancewhenshots=0(for exact, non-sampled workloads).How would this feature be used? Please describe. Users would be able to construct
Sumobservables and measure them inExpectationandVariancewhenshots=0.Describe alternatives you've considered Right now, users have to explicitly create
Expectation/Variances for each term in the sum and combine them by hand.Additional context This is another opportunity to carefully use dynamic threading for smaller circuits for a performance improvement.