2022 Undergraduate Research Symposium: Lucas Huss Quantum Artificial Intelligence (QAI) is an emerging field that could lead to a dramatic decrease in computational power consumption. QAI uses quantum computers which have some key advantages allowing for computational tasks not possible to do with classical computers. The most intuitive way to create QAI is to mimic a neuron, this model is referred to as a quantum perceptron. Current quantum perceptron models require the use of fault-tolerant quantum computers. However, today’s quantum computers are still noisy and prone to errors, which limits the practical implementation of previously proposed quantum perceptron models. In this research we implement a quantum perceptron made for today’s quantum computers, this is done by lowering the error threshold and improving the training procedure. The model is implemented on IBM’s quantum simulator and is applied to a pattern recognition task.

1. By: Lucas Huss
Supervisors: Alex Matos Abiague, Luca Candelori

2.  A Quantum computer is a device
that uses the properties of
quantum mechanics to do
computational tasks
 Quantum computing is an
emerging field that branches many
branches of science such as
physics, computer science, math
and electrical engineering

3.  A bit is packet of information that can
either be on "1" or off "0".
 A qubit is the quantum analog to a bit
and can be in infinite different states,
this allows for more encoding per qubit.
Encoding Number of
states per
bit/qubit
Bit 2^n
N-ary
Qubit
N^n

4.  A perceptron is an artificial
intelligence model that mimics a
neuron.
 Perceptron's take in multiple
inputs, process the information and
either fire or don't fire.
 Perceptron's can be chained
together to create networks.

5. QUANTUM
SUPREMACY
 In 2019 Google created a quantum
computer to showcase a specific
example where quantum computing
performed better than its classical
analogue, the quantum computer
performed a task in just a few seconds
that would take our best classical
super computers thousands of years.