Muhammad Talha Rahim is a PhD student at the Qatar Center for Quantum Computing (QC2), Hamad Bin Khalifa University. With a technical foundation in Electrical Engineering from NUST, Pakistan (2019), he transitioned into the quantum domain during his Master’s at Kyung Hee University (2023).
His previous work focused on quantum metrology and communication, exploring the fundamental limits of measurement and information transfer. Currently, his research at HBKU aims to develop error-mitigated solutions for quantum sensing and communication, leveraging his international background to address the critical challenges of noise and decoherence in quantum systems.

Rakesh Saini is a PhD student at the Qatar Center for Quantum Computing, Hamad Bin Khalifa University, under the supervision of Dr. Saif Al-Kuwari. His research focuses on quantum optimization in the NISQ (Noisy Intermediate-Scale Quantum) era, encompassing algorithmic design and performance analysis, mainly using the Quantum Approximate Optimization Algorithm (QAOA) for constrained combinatorial problems. He has also worked on quantum image encryption and quantum machine learning using variational quantum circuits. His previous research includes quantum Darwinism, quantum circuit architecture design, and quantum key distribution protocols demonstrated on IBM Quantum hardware. He is an IBM Qiskit Advocate and IBM Certified Associate Developer in Quantum Computation.

Dennis Lima has experience in variational quantum algorithms, particularly Variational Quantum Eigensolvers (VQE), Hamiltonian compression techniques for VQE, and molecular simulations using DFT and Hartree-Fock (HF) methods with PySCF. His work also includes developing Quantum Genetic Algorithms (QGA) and conducting simulations for heterogeneous catalysis. Dennis is especially interested in advancing Hamiltonian preparation and quantum eigensolvers for molecular simulations, with current applications focused on the Haber-Bosch process. These methods can be easily adapted to other chemical systems of interest. His previous research experiences include quantum walks, experimental optics, and pseudo-unitary quantum mechanics.

Mughees Ahmed Khan is a PhD researcher at the College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar. His research is focused on the theoretical foundations of quantum communication, with particular emphasis on distributed quantum systems and the realization of quantum repeater networks in hybrid systems. By exploring these frontiers, his work contributes to the advancement of next-generation quantum technologies that aim to revolutionize secure communication and quantum networking. Mughees earned his Master’s degree in Physics from COMSATS University Islamabad, Pakistan, where he developed a strong academic foundation in theoretical and applied physics. His current work reflects a dedication to both fundamental research and its technological applications, positioning him at the intersection of quantum theory and engineering innovation.

Asad Ali holds a BS and MPhil in Physics and is currently a PhD student in Computer Science and Engineering at Hamad Bin Khalifa University, where his research focuses on quantum information science and quantum optics. Prior to this, he spent two years as a non-degree research scholar at the University of Electro-Communications in Tokyo, working in experimental quantum optics. His research background includes studies of quantum correlations in multi-qubit systems, and he is currently engaged in multiple projects, including quantum key distribution, quantum batteries, and quantum correlations in condensed matter systems such as the Bose–Hubbard model and Heisenberg spin chains. His current primary research focus is on quantum sensing, particularly the development of quantum gravimeters, where he is building large-momentum-transfer (LMT)-based models enhanced by shortcut-to-adiabaticity protocols to improve sensitivity and robustness.

Asma Al-Othni is a PhD student at Hamad Bin Khalifa University’s Qatar Center for Quantum Computing. Her current research focuses on Quantum Generative AI, specifically in the areas of Large Language Models (LLMs) and Transformers. She received her bachelor’s degree in Computer Engineering from Qatar University in 2018 and her master’s degree in Cybersecurity from Hamad Bin Khalifa University in 2025, where her research focused on Quantum Generative Adversarial Networks.

Concurrently, Asma works as a Computer Engineer at the Ministry of Environment and Climate Change. In this role, she is responsible for the cybersecurity of the ministry’s IT infrastructure, drawing upon her experience in systems and networking. Additionally, she contributes to initiatives aimed at integrating Generative and Agentic AI within the ministry’s operational framework, bridging her research to aid the ministry’s digital evolution in alignment with Qatar’s national digital transformation goals.

Syed Muhammad Arslan Anis is a PhD student at Hamad Bin Khalifa University (HBKU), specializing in Quantum Communication with a focus on Quantum Key Distribution (QKD) and Device-Independent Cryptography. His research explores the intersection of quantum communication protocols and cryptographic security. His academic journey is marked by a strong foundation in applied cryptography, quantum computation, and communication technologies, complemented by interdisciplinary collaborations. His goal is to advance scalable, secure, and practical quantum communication systems that can be deployed in real-world settings.

Salman Wani holds a bachelor’s degree in physics and mathematics and a master’s in physics from the University of Kashmir. After graduation, he worked as a Junior Scientist at the Canadian Quantum Research Center, contributing to projects at the interface of quantum information and fundamental physics. He is currently pursuing a PhD at Hamad Bin Khalifa University (HBKU), where his research centers on quantum sensing with a particular focus on quantum speed limits and their role in enhancing metrological performance. Salman’s work bridges foundational theory and practical sensing, aiming to translate limits on quantum dynamics into improved protocols and performance bounds.