Quantum Computing Portfolio

Quantum computing is the frontier of technology, merging quantum mechanics and information science to revolutionize problem-solving. Unlike classical computers, quantum systems use 'qubits', which can exist in multiple states at once, promising lightning-fast, energy-efficient computations. While the field poses unique challenges, it also offers transformative potential across industries, from cryptography to medicine. This page showcases my contributions and understanding of quantum computing, reflecting my readiness to navigate and innovate within this evolving landscape. Discover how I can bring this cutting-edge knowledge and passion to your team as we shape the future of computing together.

This Quantum K-Means Clustering project exemplifies cutting-edge innovation in data science, leveraging quantum computing principles to elevate traditional machine learning techniques. Utilizing Qiskit, a leading quantum computing framework, the project demonstrates the power of quantum-enhanced K-Means clustering, a novel approach to unsupervised learning.

The algorithm features a unique quantum distance function, pushing the boundaries of computational efficiency by leveraging quantum phenomena. The Quantum K-Means function iteratively assigns data points to centroids, illustrating a tangible, real-world application of abstract quantum principles.

This project not only reflects my proficiency in Python and Qiskit but also underlines my pioneering spirit in integrating emerging technologies into practical applications. It offers recruiters a compelling testament to my ability to innovate at the intersection of quantum computing and data science.

2023

          A stimulating exploration into the realm of quantum computation, this project showcases the integration of the quantum phenomena with statistical simulation methods to estimate the mathematical constant Pi (π). This was accomplished by utilising quantum circuits in IBM's Qiskit library, coupled with the Monte Carlo method—a statistical technique famed for its random sampling to obtain numerical solutions.

          The project exhibits a skillful command of constructing and implementing a quantum circuit within a simulation environment. A unique blend of Hadamard, RX rotation, and controlled-Z gates was orchestrated to create a quantum circuit capable of generating random numbers. Hadamard gates were adeptly used to invoke superposition within the qubits, effectively creating a broad and balanced probability distribution. RX rotation gates rotated the qubits around the X-axis by a given angle, while the controlled-Z gates were employed to introduce entanglement between qubits, thereby interlinking their states.

          These quantum circuits produced random numbers between 0 and 1 by translating the binary output to a decimal number. Subsequently, pairs of these random numbers were treated as coordinates (x, y) to determine whether they fell within a unit circle—a crucial step in the Monte Carlo simulation for Pi estimation.

          Two experimental settings were meticulously designed and executed. The first setup employed 6 qubits and generated 20,000 data points, resulting in a Pi estimate of 3.2076. In contrast, the second configuration involved 5 qubits with 500 data points, leading to a Pi approximation of 3.104. Despite the discrepancy from the actual value of Pi (~3.14159), these results illuminate the impact of the number of qubits and data points on the accuracy of quantum computations.

          This endeavor epitomizes a multi-faceted mastery of critical skills like quantum computing principles, understanding and implementation of quantum gates, and the adept use of quantum superposition and entanglement in performing complex simulations.

          Such a project is instrumental in unveiling the potential of quantum computing for intricate computations, promising groundbreaking implications for fields like cryptography, numerical methods, and statistical simulations. As a passionate student specializing in this domain, this project attests to the advanced knowledge and practical abilities in quantum computing, setting a robust foundation for future explorations and innovations in this compelling area.

2023