Abstract:
Computation technology has set new realms for processing and storing information by
implicating a single electron in a transistor channel as an actual quantum particle.
Quantum mechanics undergoes the principle of superposition by representing all the
possible states of a system at once and their dependency on each other. Errors in these
basis states rises exponentially with the linear increase of quantum bits. Therefore, it is
critical to use Arbitrary Waveform Generator (AWG) for the electron waveform
extraction. A MATLAB simulation environment is developed. Our novel approach is
to send high frequency signals by AWG to extract and stable the electron spin by
observing the phenomenon of quantum tunneling.
The downside of high-density data processing is to use digital accelerators. To
overcome the limitations we are using neuromorphic memristive network architecture.
This network is programmed through programmable pulses sent to the memristors
according to the matrix representation of quantum CCNOT gate. A comparative
technique is also performed through artificial neural network. Each memristor is
processed through hidden layers by updating the weights of feed forward artificial
neural network. Such kind of architectures increases the efficiency and parallelism by
reducing the power of the overall system
