Co-Founder
Maryam Naeem
Quantum Lead
Quantum Information and Computation Quantum ML
Maryam Naeem is a quantum researcher and engineer with experience in Quantum Computing, Quantum Machine Learning, and Quantum Communication. She has worked across both academic and applied domains, contributing to research and development in emerging quantum technologies.
She previously served as a Marie Curie Doctoral Researcher at Eindhoven University of Technology (TU/e), Netherlands, where her work focused on quantum communication and information systems.
In industry, she held the role of Lead Quantum Artificial Intelligence Engineer at STEMIAC (Europe), where she led teams, supervised projects, and contributed to research in quantum enhanced machine learning and improvements to quantum algorithms.
Her research includes work on quantum-enhanced reinforcement learning, improvements to the HHL algorithm, continuous-variable Quantum Key Distribution (CV-QKD), and quantum teleportation protocols.
Through QlogiX, she aims to bridge the gap between quantum theory and practical implementation, building a foundation for applied quantum technologies in Pakistan.
M. Phil. Research
Cavity QED Based Quantum Teleportation Protocol
IEEE Quantum Week · 2024 · 14 citations
This work represents a foundational research effort in quantum communication, focusing on the physical realization of quantum teleportation using cavity quantum electrodynamics (QED) systems.
The research explores the development of a complete teleportation protocol by integrating key components required for practical implementation. This includes the generation of remote entanglement to establish a quantum communication channel, as well as the realization of fundamental quantum logic operations such as Controlled-NOT and Hadamard gates.
A major focus of this work is the modeling of atom-cavity interactions, enabling the transfer and manipulation of quantum states within controlled environments. The study further investigates how quantum states can be transmitted securely through entanglement-based communication mechanisms.
This research establishes a strong foundation in quantum information processing, quantum optics, and quantum communication systems, providing the theoretical and conceptual basis for the development of advanced quantum technologies and real-world applications. This work reflects a deep understanding of bridging theoretical quantum mechanics with experimentally realizable systems, which remains a critical challenge in the advancement of quantum technologies.
The research explores the development of a complete teleportation protocol by integrating key components required for practical implementation. This includes the generation of remote entanglement to establish a quantum communication channel, as well as the realization of fundamental quantum logic operations such as Controlled-NOT and Hadamard gates.
A major focus of this work is the modeling of atom-cavity interactions, enabling the transfer and manipulation of quantum states within controlled environments. The study further investigates how quantum states can be transmitted securely through entanglement-based communication mechanisms.
This research establishes a strong foundation in quantum information processing, quantum optics, and quantum communication systems, providing the theoretical and conceptual basis for the development of advanced quantum technologies and real-world applications. This work reflects a deep understanding of bridging theoretical quantum mechanics with experimentally realizable systems, which remains a critical challenge in the advancement of quantum technologies.
QKD
Quantum Comms
Security
Projects
Multidimensional Reconciliation for Continuous-Variable QKD
This project focuses on improving the performance of Continuous-Variable Quantum Key Distribution (CV-QKD) systems, particularly under low signal-to-noise conditions.
The work explores advanced reconciliation techniques, including multidimensional encoding and LDPC-based error correction, to enhance decoding efficiency and increase secure key generation rates.
Hybrid Quantum-Classical Reinforcement Learning using HHL Algorithm
Pending
This project integrates the Harrow-Hassidim-Lloyd (HHL) quantum algorithm with reinforcement learning frameworks to solve real-world decision-making problems.
By reformulating reinforcement learning models into linear systems, the HHL algorithm is used to compute value functions more efficiently, leveraging quantum parallelism for potential exponential speedup.
Improving the Efficiency of HHL-Based Learning Systems
Pending
This research addresses the practical limitations of the HHL algorithm, including challenges related to matrix sparsity, condition number, and scalability.
Various optimization strategies were explored to improve time complexity and enable more practical applications of quantum algorithms in machine learning.
Achievements & awards
Certificate of Appreciation
International Training Workshop on Quantum Computing and Quantum Information · OIC-COMSTECH
Certificate of Completion
Quantum Machine Learning Workshop 2026 · FUNDACJA - Quantum AI
Certificate of Completion
Quantum Artificial Intelligence Engineering Internship · STEMIAC
Skills & expertise
Quantum algorithms95%
Quantum ML88%
Quantum communication82%
Error correction76%
Qiskit90%
Research areas
Quantum computing
Quantum ML>
Quantum comms
Details
M. Phil. Research
Cavity QED Based Quantum Teleportation Protocol
IEEE Quantum Week · 2024 · 14 citations
This work represents a foundational research effort in quantum communication, focusing on the physical realization of quantum teleportation using cavity quantum electrodynamics (QED) systems.
The research explores the development of a complete teleportation protocol by integrating key components required for practical implementation. This includes the generation of remote entanglement to establish a quantum communication channel, as well as the realization of fundamental quantum logic operations such as Controlled-NOT and Hadamard gates.
A major focus of this work is the modeling of atom-cavity interactions, enabling the transfer and manipulation of quantum states within controlled environments. The study further investigates how quantum states can be transmitted securely through entanglement-based communication mechanisms.
This research establishes a strong foundation in quantum information processing, quantum optics, and quantum communication systems, providing the theoretical and conceptual basis for the development of advanced quantum technologies and real-world applications. This work reflects a deep understanding of bridging theoretical quantum mechanics with experimentally realizable systems, which remains a critical challenge in the advancement of quantum technologies.
The research explores the development of a complete teleportation protocol by integrating key components required for practical implementation. This includes the generation of remote entanglement to establish a quantum communication channel, as well as the realization of fundamental quantum logic operations such as Controlled-NOT and Hadamard gates.
A major focus of this work is the modeling of atom-cavity interactions, enabling the transfer and manipulation of quantum states within controlled environments. The study further investigates how quantum states can be transmitted securely through entanglement-based communication mechanisms.
This research establishes a strong foundation in quantum information processing, quantum optics, and quantum communication systems, providing the theoretical and conceptual basis for the development of advanced quantum technologies and real-world applications. This work reflects a deep understanding of bridging theoretical quantum mechanics with experimentally realizable systems, which remains a critical challenge in the advancement of quantum technologies.
QKD
Quantum Comms
Security
Projects
Multidimensional Reconciliation for Continuous-Variable QKD
This project focuses on improving the performance of Continuous-Variable Quantum Key Distribution (CV-QKD) systems, particularly under low signal-to-noise conditions.
The work explores advanced reconciliation techniques, including multidimensional encoding and LDPC-based error correction, to enhance decoding efficiency and increase secure key generation rates.
Hybrid Quantum-Classical Reinforcement Learning using HHL Algorithm
Pending
This project integrates the Harrow-Hassidim-Lloyd (HHL) quantum algorithm with reinforcement learning frameworks to solve real-world decision-making problems.
By reformulating reinforcement learning models into linear systems, the HHL algorithm is used to compute value functions more efficiently, leveraging quantum parallelism for potential exponential speedup.
Improving the Efficiency of HHL-Based Learning Systems
Pending
This research addresses the practical limitations of the HHL algorithm, including challenges related to matrix sparsity, condition number, and scalability.
Various optimization strategies were explored to improve time complexity and enable more practical applications of quantum algorithms in machine learning.
Achievements & awards
Certificate of Appreciation
International Training Workshop on Quantum Computing and Quantum Information · OIC-COMSTECH
Certificate of Completion
Quantum Machine Learning Workshop 2026 · FUNDACJA - Quantum AI
Certificate of Completion
Quantum Artificial Intelligence Engineering Internship · STEMIAC
Skills & expertise
Quantum algorithms95%
Quantum ML88%
Quantum communication82%
Error correction76%
Qiskit90%
Research areas
Quantum computing
Quantum ML>
Quantum comms
Details