The QUATRO Application Suite: Quantum Computing for Models of Human Cognition
Raghavendra Pradyumna Pothukuchi, Leon Lufkin, Yu Jun Shen, Alejandro, Simon, Rome Thorstenson, Bernardo Eilert Trevisan, Michael Tu, Mudi Yang, Ben, Foxman, Viswanatha Srinivas Pothukuchi, Gunnar Epping, Thi Ha Kyaw, Bryant J, Jongkees, Yongshan Ding, Jerome R Busemeyer

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…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cloud Computing and Resource Management · Distributed and Parallel Computing Systems
