The QUATRO Application Suite: Quantum Computing for Models of Human Cognition

TL;DR

This paper introduces QUATRO, a suite of quantum computing applications based on cognitive models, aiming to expand quantum application domains and improve understanding of quantum architectures for human cognition modeling.

Contribution

It connects computational cognitive models to quantum architectures for the first time and explores quantum cloud scheduling, parallelization, and performance gaps.

Findings

Identification of gaps in the quantum computing stack for cognitive modeling

Development of quantum applications based on cognitive models

Insights into quantum cloud scheduling and parallelization

Abstract

Research progress in quantum computing has, thus far, focused on a narrow set of application domains. Expanding the suite of quantum application domains is vital for the discovery of new software toolchains and architectural abstractions. In this work, we unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling. Cognitive models are critical to understanding and replicating human intelligence. Our work connects computational cognitive models to quantum computer architectures for the first time. We release QUATRO, a collection of quantum computing applications from cognitive models. The development and execution of QUATRO shed light on gaps in the quantum computing stack that need to be closed to ease programming and drive performance. Among several contributions, we propose and study ideas pertaining to quantum cloud scheduling (using data from gate- and annealing-based quantum computers), parallelization, and more. In the long run, we expect our research to lay the groundwork for more versatile quantum computer systems in the future.