Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
written in Python based on the NumPy, SciPy, CuPy, and mpi4py modules. It makes use of optimized BLAS, LAPACK, and FFT libraries for both CPU and GPU architectures. Through CuPy, custom GPU (CUDA/HIP
-
to enhance controllability and connectivity. Our objectives include: Demonstrating novel architectures for large-scale quantum processing, featuring reconfigurable local control, rapid non-demolition readout
Searches related to architecture
Enter an email to receive alerts for architecture positions