Numerical Model for 32-Bit Magnonic Ripple Carry Adder

Abstract

In CMOS-based electronics, the most straightforward way to implement a summation operation is to use the ripple carry adder (RCA). Magnonics, the field of science concerned with data processing by spin waves and their quanta magnons, recently proposed a magnonic half-adder that can be considered as the simplest magnonic integrated circuit. Here, we develop a computation model for the magnonic basic blocks to enable the design and simulation of magnonic gates and magnonic circuits of arbitrary complexity and demonstrate its functionality on the example of a 32-bit integrated RCA. It is shown that the RCA requires the utilization of additional regenerators based on magnonic directional couplers with embedded amplifiers to normalize the magnon signals in-between the half-adders. The benchmarking of large-scale magnonic integrated circuits is performed. The energy consumption of 30 nm-based magnonic 32-bit adder can be as low as 961 aJ per operation with taking into account all required amplifiers.

All-magnonic repeater based on bistability

“…1 and is proposed to be installed at the input of each magnonic logic gate to receive damped and distorted spin-wave signals from the upper-level logic gate, clean them up, and then regenerate new spin waves with amplified amplitude (with the gain up to 6 times) and normalized phase to connect the next level logic gate. This opens the door to cascading magnonic logic elements with amplitude information encoding, allowing the practical realization of complex Boolean circuits predicted in theory [27] as well as the realization of magnonic synapses in neuromorphic networks.…”

3D Magnonic Conduits by Direct Write Nanofabrication

“…Three-dimensional magnonics is now attracting increasing attention [ 26 ]. This interest is further motivated by the fundamental physical phenomena associated with hierarchical systems [ 27 ], systems with magnetic frustration [ 28 ], and geometrically induced non-trivial spin textures [ 29 ]. In this regard, of particular interest are 3D curvilinear systems, which have already demonstrated applications-relevant behaviour, such as non-reciprocity and stabilisation of topological spin textures [ 22 , 30 ].…”