Subhojit Halder is an engineering graduate from India with a bachelor’s degree in Electronics and Telecommunication Engineering. He is a published author and researcher in the field of quantum technologies, with several research articles and books to his credit. His areas of work include astronomical simulations using quantum computing, superconducting qubit design, and the integration of quantum technologies with existing classical systems. He is also the author of a book on superconducting qubit design using Qiskit Metal, reflecting his interest in practical quantum hardware design and related computational methods.He holds multiple patents and copyrights for his innovations, including the development of a unique backend kernel for Android devices that temporarily emulates quantum computations in cached memory, enabling complex quantum circuit simulations with reduced noise-related errors. In addition, he has developed software applications deployed on the Google Play Store. His current work is focused on bridging Python-based quantum computing frameworks, which often rely on specialized kernels and computational techniques, with hardware and software environments primarily built on Java and C++. Through this work, he aims to contribute to making quantum technologies more accessible and easier to integrate with existing classical platforms.

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• Chapter 1: Foundations of Quantum Circuits.- Chapter 2: Introduction to ZX Calculus.- Chapter 3: Spider Rules and Diagrammatic Equivalences.- Chapter 4: Tooling: ZX Calculus Automated Pipelines.- Chapter 5: Fermionic ZX Calculus.- Chapter 6: Quantum Error Correction.- Chapter 7: Quantum Machine Learning - ZX Applications.

Subhojit Halder is an engineering graduate from India with a bachelor’s degree in Electronics and Telecommunication Engineering. He is a published author and researcher in the field of quantum technologies, with several research articles and books to his credit. His areas of work include astronomical simulations using quantum computing, superconducting qubit design, and the integration of quantum technologies with existing classical systems. He is also the author of a book on superconducting qubit design using Qiskit Metal, reflecting his interest in practical quantum hardware design and related computational methods.He holds multiple patents and copyrights for his innovations, including the development of a unique backend kernel for Android devices that temporarily emulates quantum computations in cached memory, enabling complex quantum circuit simulations with reduced noise-related errors. In addition, he has developed software applications deployed on the Google Play Store. His current work is focused on bridging Python-based quantum computing frameworks, which often rely on specialized kernels and computational techniques, with hardware and software environments primarily built on Java and C++. Through this work, he aims to contribute to making quantum technologies more accessible and easier to integrate with existing classical platforms.

Select Guide Rating

• Chapter 1: Foundations of Quantum Circuits.- Chapter 2: Introduction to ZX Calculus.- Chapter 3: Spider Rules and Diagrammatic Equivalences.- Chapter 4: Tooling: ZX Calculus Automated Pipelines.- Chapter 5: Fermionic ZX Calculus.- Chapter 6: Quantum Error Correction.- Chapter 7: Quantum Machine Learning - ZX Applications.

Subhojit Halder is an engineering graduate from India with a bachelor’s degree in Electronics and Telecommunication Engineering. He is a published author and researcher in the field of quantum technologies, with several research articles and books to his credit. His areas of work include astronomical simulations using quantum computing, superconducting qubit design, and the integration of quantum technologies with existing classical systems. He is also the author of a book on superconducting qubit design using Qiskit Metal, reflecting his interest in practical quantum hardware design and related computational methods.He holds multiple patents and copyrights for his innovations, including the development of a unique backend kernel for Android devices that temporarily emulates quantum computations in cached memory, enabling complex quantum circuit simulations with reduced noise-related errors. In addition, he has developed software applications deployed on the Google Play Store. His current work is focused on bridging Python-based quantum computing frameworks, which often rely on specialized kernels and computational techniques, with hardware and software environments primarily built on Java and C++. Through this work, he aims to contribute to making quantum technologies more accessible and easier to integrate with existing classical platforms.

Select Guide Rating

• Chapter 1: Foundations of Quantum Circuits.- Chapter 2: Introduction to ZX Calculus.- Chapter 3: Spider Rules and Diagrammatic Equivalences.- Chapter 4: Tooling: ZX Calculus Automated Pipelines.- Chapter 5: Fermionic ZX Calculus.- Chapter 6: Quantum Error Correction.- Chapter 7: Quantum Machine Learning - ZX Applications.