A team of researchers has developed working computer prototypes inspired by the quipu, a complex system of knotted cords used by the Inca civilization to record and manage information. The findings, accepted for publication in February 2026, suggest the quipu was far more than a simple accounting tool, potentially functioning as a sophisticated, pre-digital information system capable of organizing data and even incorporating elements of data security.
The Evolution of Understanding Quipu
For decades, scholars have debated the function of quipu. Early interpretations, championed by researchers like Marcia Ascher and Robert Ascher, posited a primarily numerical function, with knots representing a decimal-based system. Each knot’s type and position held specific mathematical value. Still, subsequent research, notably by Sabine Hyland, proposed that quipu encoded linguistic elements, potentially representing sounds or concepts through a system of approximately 95 distinct markers. This suggested a capacity for recording more than just quantities.
Modeling Quipu as a Data Structure
A pivotal shift in perspective came from computer scientist Richard Dosselmann, along with colleagues Edward Doolittle and Vatika Tayal. Rather than attempting to decode the quipu’s meaning, they approached it as a data structure, akin to those used in modern computing. Their central insight was the hierarchical nature of the quipu – cords branching from a main cord – which closely mirrors tree-like data structures commonly employed in computer science.
The team translated these structural properties into programming logic, utilizing languages like C++ and Python. They even designed a novel file format based on quipu principles, allowing for the representation and manipulation of data in a manner analogous to the Inca system. This operate wasn’t about recreating Inca records, but about demonstrating the inherent computational potential of the quipu’s organizational framework.
Quipu-Inspired Prototypes
Dosselmann’s team built several working prototypes to demonstrate the viability of their approach. These included a spreadsheet model and an image representation tool. The key advantage of the quipu-inspired structure lies in its scalability and flexibility. Data can be added and modified without requiring a complete restructuring of the system. This linear scalability makes it well-suited for managing large, layered datasets, such as census records or inventories.
Data Protection Through Structure
One particularly intriguing aspect of the research concerns the potential for data protection. The researchers discovered that rearranging the cords at different levels of the quipu could function as a form of data obfuscation. This wasn’t encryption added as an afterthought, but rather a property inherent in the system’s organization. By scrambling the arrangement, information could be concealed without relying on separate encryption algorithms. While the Inca weren’t intentionally designing cryptographic systems, the structure of the quipu appears to lend itself to this capability.
Quipu as Early Information Technology
Despite the parallels to modern computing, experts caution against labeling the quipu a “computer” in the traditional sense. It lacks the electronic components, processors, and binary code that define contemporary computers. However, the comparison is not entirely unfounded. The Inca developed a structured, scalable, and adaptable method for storing and managing information, supporting hierarchy, grouping, and summarization – core features of many computing systems.
Many now view quipu as an early form of information technology, a system designed for organization and data management rather than solely for calculation. The research highlights the ingenuity of the Inca in developing a complex information system without the benefit of a written script, challenging conventional understandings of pre-Columbian technological capabilities.
The National Endowment for the Humanities, which provided funding for the research, has not yet announced plans for further investigation into the quipu’s potential applications. Dosselmann and his team are currently exploring the possibility of using quipu-inspired data structures in specialized applications where data security and scalability are paramount.
