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This repository was archived by the owner on Sep 6, 2025. It is now read-only.
Add Week 1 general materials for MS Quantum Computing
- Add 251 General Material section to MS Quantum tab
- Include Dirac notation guide, complex numbers reference, and Week 1 summary
- Add Course Resources sections to both ICS 560 and PHYS 512 pages
- Organize PDFs in assets/resources directory for shared Term 1 materials
Copy file name to clipboardExpand all lines: _tabs/ms-quantum.md
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Course resources and materials for the graduate quantum computing program @ KFUPM. I will be adding resources as I go. Starting this semester with ICS 560 & PHYS 512.
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## Recommended Resources
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### Foundational Text (Beginner to Intermediate)
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## 251 General Material
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**[Quantum Computation and Quantum Information](/assets/resources/nielsen-chuang-quantum-computation.pdf)** by Michael Nielsen & Isaac Chuang
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Often referred to as "Mike and Ike," this is the standard textbook in quantum information science. With over 58,000 citations, it provides a comprehensive introduction assuming minimal prior knowledge of quantum mechanics or computer science. Covers fundamental topics including quantum circuits, quantum algorithms (Fourier transform, search), quantum noise, error correction, and information theory. Essential for building a strong theoretical foundation.
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Foundational resources for Term 1 students covering both ICS 560 and PHYS 512:
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### Hardware and Implementation (Intermediate to Advanced)
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### Mathematical Foundations
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-[**Dirac Notation Guide**](/assets/resources/dirac_notation_qc_guide.pdf) - Essential notation system for quantum computing
**[A Quantum Engineer's Guide to Superconducting Qubits](/assets/resources/quantum-engineers-guide-superconducting-qubits.pdf)** by Krantz et al. (2019)
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An introductory guide bridging fundamental concepts with contemporary applications in quantum computing. Reviews 20 years of evolution from basic research to engineering large-scale quantum systems. Covers superconducting circuit design, qubit control, readout techniques, noise properties, and circuit quantum electrodynamics (cQED). Ideal for understanding the hardware implementation of quantum computers.
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### Course Overview
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-[**Week 1 Summary**](/assets/resources/CohortSummaryTerm%231.pdf) - Comprehensive overview and key concepts for both courses
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**[Introduction to Experimental Quantum Measurement with Superconducting Qubits](/assets/resources/experimental-quantum-measurement-superconducting-qubits.pdf)** by Mahdi Naghiloo (2019)
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A pedagogical introduction to quantum measurement in superconducting systems, exploring the dynamics of single qubits under continuous monitoring. Covers experimental quantum dynamics, quantum thermodynamics, and weak measurement techniques. Provides an in-depth experimental perspective essential for those working with physical quantum systems.
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### Practical Applications (Advanced)
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## Recommended Resources
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**[Practical Introduction to Benchmarking and Characterization of Quantum Computers](/assets/resources/benchmarking-characterization-quantum-computers.pdf)** by Hashim et al. (2025)
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A comprehensive tutorial on quantum characterization, verification, and validation (QCVV) tools. Designed for both newcomers and experts, it provides essential techniques to evaluate and enhance quantum computing performance. Critical for understanding how to assess the quality and reliability of quantum computations in practice.
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For comprehensive quantum computing resources including foundational texts, hardware implementation guides, and practical applications, visit our [**Quantum Computing Core Resources**](/resources/quantum-core/) page.
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