QuSciTech Press™ publishes rigorous, practice-ready works at the intersection of quantum information science, artificial intelligence, and systems engineering. Our editorial model pairs clear architectural exposition with executable labs and verifiable release records.
QuSciTech leads consultation and training in quantum information science and quantum AI. QuSciTech Press is the publishing arm responsible for producing Quantum AI Systems: Theory, Architecture, and Applications and related learning materials. TelcoCapital IT Solutions provides infrastructure, integration, and content management support across operations.
Quantum AI Systems: Theory, Architecture, and Applications (QAIS) presents a system-of-systems framework that extends beyond computation. It integrates physical, computational, cognitive, and ethical layers so that quantum systems can learn, reason, and remain verifiable under stress. Each chapter follows IEEE-style structure with learning outcomes, spotlights, sidebars, and chapter glossaries.
Every public release is archived under a concept DOI with versioned records for reproducibility and citation. Instructors-only materials are delivered via a BasicAuth-protected portal and include checksums for integrity verification.
For press, institutional licensing, and reviewer inquiries, contact contact@quscitech.com. For general feedback and errata, see the site’s DOI and Reviewers pages.