Quantum Computing in the Age of Artificial Intelligence: A Human-Centered Engineering Framework for Hybrid Intelligence

This technical note presents a human-centered engineering framework for understanding quantum computing in the age of artificial intelligence. It argues that quantum computing should not be treated as magic, hype, or a universal replacement for classical computing, but as a disciplined computational model grounded in probability, linear algebra, measurement, physical systems, and resource constraints. The report connects quantum foundations with artificial intelligence, semiconductor systems, post-quantum security, scientific simulation, engineering education, and civilization-scale technology planning. It proposes a practical suitability framework for deciding when a quantum-AI approach is technically justified, resource-feasible, explainable, and socially useful. This report is a concise scholarly companion to the broader book project Quantum Computing in the Age of Artificial Intelligence: Engineering the Next Civilization by Vikrant Salar, Founder & Principal of SALAR Technologies LLC. It is intended for researchers, engineers, educators, technical founders, policy-minded readers, and reviewers interested in quantum computing, AI-assisted science, hybrid computing systems, post-quantum cryptography, and responsible technology development.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-01
DOI
https://doi.org/10.5281/zenodo.21088145
Primary Topic
Space Technology and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum Computing in the Age of Artificial Intelligence: A Human-Centered Engineering Framework for Hybrid Intelligence

Vikrant Salar
Zenodo (CERN European Organization for Nuclear Research)
Space Technology and Applications
article

Quantum Computing in the Age of Artificial Intelligence: A Human-Centered Engineering Framework for Hybrid Intelligence

Vikrant Salar
article en

Abstract

This technical note presents a human-centered engineering framework for understanding quantum computing in the age of artificial intelligence. It argues that quantum computing should not be treated as magic, hype, or a universal replacement for classical computing, but as a disciplined computational model grounded in probability, linear algebra, measurement, physical systems, and resource constraints. The report connects quantum foundations with artificial intelligence, semiconductor systems, post-quantum security, scientific simulation, engineering education, and civilization-scale technology planning. It proposes a practical suitability framework for deciding when a quantum-AI approach is technically justified, resource-feasible, explainable, and socially useful. This report is a concise scholarly companion to the broader book project Quantum Computing in the Age of Artificial Intelligence: Engineering the Next Civilization by Vikrant Salar, Founder & Principal of SALAR Technologies LLC. It is intended for researchers, engineers, educators, technical founders, policy-minded readers, and reviewers interested in quantum computing, AI-assisted science, hybrid computing systems, post-quantum cryptography, and responsible technology development.

Zenodo (CERN European Organization for Nuclear Research)
Access Technologies (US)
Openalex Percentile: Top 12%
Space Technology and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantum Computing in the Age of Artificial Intelligence: A Human-Centered Engineering Framework for Hybrid Intelligence — Vikrant Salar · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS