Abstract: A power estimation approach is presented in which blocks of consecutive vectors are selected at random from a user-supplied realistic input vector set and the circuit is simulated for each ...

To build the demo program Copy demo.c and libabc.a to the working directory Run gcc -Wall -g -c demo.c -o demo.o Run g++ -g -o demo demo.o libabc.a -lm -ldl -lreadline -lpthread To run the demo ...

DDSIM bundled with the provider and backends for Qiskit is available via PyPI for Linux, macOS, and Windows and supports Python 3.9 to 3.13. The implementation is compatible with any C++17 compiler ...