The Quantum Quest Academy is a series of articles first created and written by Spectral Capital Chairman Sean Brehm on X. It is an outreach effort to educate people about quantum computing.
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Quantum Quest Academy 101
Complete script as it appeared on X.
Data and Information in Quantum Era: What is the Difference?
Executive Summary
The Quantum Era - Data vs. Information:
If you look around you, data is the crude oil and information is the fuel for the global economy. Information is data organized in a structure that makes it ready to provide actionable insights.
There are four key elements that contribute to the: Spatial, Temporal, Thematic, and Semantic attributes that provide context.
Just as oil is refined and becomes the fuel for your vehicle, quantum computing will enable to do this at scales far faster and more efficiently than ever before. Technologies like Analytic Tomography that can access a a quantum version of a data lake called the Distributed Quantum Ledger DataBase (DQLDB) and decentralized in global micro data centers represents a paradigm shift in how data is harnessed.
This shift opens up new possibilities to analyze and contextualize information in ways never before imagined and present it to users in a conversational manner.
This document examines these distinctions and their implications for industry, governance, and the global economy.
Introduction
Data and insights gathered from the information generated from the data have long been key enablers of technological and economic progress. But as we transition to the Quantum Era, their roles and definitions shift. New dimensions of data processing with quantum technologies lead to new forms of transformation that are only becoming possible now in an age of quantum computing.
Data is going to become even more valuable than before because the quantum compute aspect will be able to find connections between seemingly unrelated data from vast stores globally to surface new discovery in the form of new found information. This fundamentally changes how we think about data and information and how they rely on each other.
Data in the Quantum Era
Data is defined by that fact that is raw, unprocessed, and unorganized data. It is a collection of facts, figures, or numbers without context, and therefore devoid of meaning in its own right.
Characteristics: The 6 V's of Data:
VOLUME:
The sheer amount of data generated and stored today is massive. In the era of big data and quantum technologies, organizations are dealing with petabytes and exabytes of data from various sources like IoT devices, social media, and sensors.
VELOCITY:
The speed at which data is generated, processed, and analyzed in real-time or near-real-time data processing is more important than ever before in areas like financial trading, healthcare monitoring, and autonomous vehicles.
VARIETY:
Today there are different types of data available, including structured, semi-structured, and unstructured data. Each of us comes into contact with daily as text, images, videos, and sensor data, all requiring specialized tools and techniques for processing.
VARIABILITY:
There is a constant inconsistency or changing nature of data at the millisecond level today. This includes seasonal trends, context-dependent variations, and fluctuating data patterns that can complicate analysis.
VERACITY:
Given the first four attributes above, veracity is becoming more and more important today as it points to the accuracy, reliability, and trustworthiness of data. Poor data quality or inconsistency can lead to flawed analysis and incorrect conclusions.
VALUE:
This is the most important V because it represents the usefulness or business benefit derived from data. This has a relation to entropy as given the previous 5 attributes discussed above because raw data has a very high level of entropy since it is not organized nor structured or designed for any specific solution. That is why data must be processed and analyzed to extract spatial, temporal, thematic and semantic attributes in order to provide insights and generate actionable decision support attributes that allows for more effective decision-making.
Quantum Computing impact on data & information
Quantum computing accelerates the retrieval and correlation of intersections, unions and patterns in massive datasets. Quantum sensors gather extremely precise and detailed data instantly and across the 11 MSCI Industry sectors like health care, consumer discretionary and finance.
To handle this accelerated computing new kinds of data based technology must be created to support contactless data. At Spectral we leverage a Distributed Quantum Ledger Databases (DQLDB) to provide an immutable and decentralized database for storing data with the governance, lineage, provenance and pedigree of data assembled into information.
Information in the Quantum Era
As we have learned information is the fuel that powers the global economy as it is essentially data with value because it has been processed, refined, structured and contextualized. This refinement has be filtered to provide us context, meaning and actionable insights.
Context makes it information, it defines relevance: When and where was it, or how does it all connect? Data to information transformation becomes less random as it gets processed using entropy reduction, making the resulting information clearer and more useful.
Today we want our informant more actionable. The idea has been to create Artificial Intelligence to access volumes of data and create information in a conversational way so that it becomes relevant to decision-making and discovery.
Today quantum algorithms initialize with data in a way that extracts information from the data better than classical equivalents, like Spectral Analytic Tomograph Technology where sensor data encoded in a quantum ledger database has higher dimensional meanings, that can be used by a Hamiltonian approach using the sensor data from the DQLDB surfacing discovery and addressing problems across multiple dimensions.
The implantation of Quantum systems like a post quantum cryptography SPHINCS within the DQLDB contain improved security mechanisms that help ensure that the information is both trustworthy and reliable. These quantum technologies enable data to be extracted more efficiently into information.
The flow from the acquisition of data raw material to the information that can be acted upon goes through several stages, most of them being transformed using quantum technologies:
Economic Impact
Like oil in the industrial revolution, innovation, efficiency, and growth depend on information in the Quantum Era. The Quantum Era will directly enable the placement of the Human Identity at the center of commercial and capital markets as it will allow humanity to access new dimensions of advancement in every field of society.
Before we continue on the journey in this series of Quantum Computing I felt it important that each and every one of you understand how we manage data information will be central to succeeding in the emerging quantum economy.