Abstract: Computing in-memory (CIM) is a promising new computing method to solve problems caused by von Neumann bottlenecks. It mitigates the need for transmitting large amounts of data between the ...
pyQBTNs is a Python library for boolean matrix and tensor factorization using D-Wave quantum annealers. The library includes five different boolean tensor decomposition methods making up three ...
Abstract: We describe how to securely implement the masked logical AND of two bits in hardware in the presence of glitches without the need for fresh randomness, and we provide guidelines for the ...
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