SI INTERPOSER PLATFORM FOR QUANTUM APPLICATIONS

Global transition to a digital society has billions using microelectronic technology in their day-to-day activities. The increasing demand for miniaturization, speed, and reliability must be satisfied with a compact combination of multiple microchips. The technical constraints are quickly surpassing the capabilities of conventional circuit boards. Thus, silicon interposers, a high-cost, high-performance packaging solution for integrating […]

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Design, synthesis and charaterization of new p-AQM macromolecules for electronics applications

This project focuses on synthesizing a new class of conjugated polymers incorporating stable, quinoidal units that enhance electronic properties, targeting applications in organic field-effect transistors (OFETs), organic solar cells, and organic electrochemical transistors (OECTs). By designing polymers that feature reduced bond-length alternation, these materials exhibit lower band gaps and high charge carrier mobilities, essential for […]

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Distributed Quantum Algorithms

Quantum advantages designate situations where processing qubits of information solves a task significantly more efficiently than processing classical bits of information in some basic abstract scenario. Our understanding of quantum advantages for distributed computing is limited. In particular, it is not well understood whether quantum information can deal with issues inherent to networks such as […]

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Enhancing Wildfire Detection and Prediction with Deep Learning and Quantum Machine Learning

Wildland fires in Canada pose significant risks, causing extensive damage to ecosystems, property, and human life. The record-breaking 2023 wildfire season, which devastated 18 million hectares, underscores the urgent need for improved detection and mitigation strategies. Recent advancements in deep learning have demonstrated strong potential in early wildfire detection and fire spread prediction, providing critical […]

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Controlled Self-Injection Techniques for Enhanced Laser Dynamics in Silicon Photonic Systems

The growing demand for high-performance computing (HPC), artificial intelligence (AI), and cloud applications is pushing traditional semiconductor technologies to their limits. This project advances silicon photonics, which uses light for faster, more efficient, and scalable data transmission, making it critical for next-generation computing and communication systems. Focusing on hybrid quantum light sources and nonlinear optical […]

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The application of graphene thin film membranes in solar harvesting for production of water and recovery of nutrients from urine

This project will graphene thin films using for water purification using solar evaporation. We will utilize an intercalation-assisted technique to prepare surfactant-free graphene dispersions. We will fabricate large-area graphene films and deposit them on filter paper through vacuum filtration, followed by thermal treatment to enhance their stability and optical properties. These films will be examined […]

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Proofs of Quantum Knowledge: Theory and Applications

A quantum proof of knowledge (QPoK) is a protocol in quantum computing that allows one party (the prover) to convince another party (the verifier) that they possess certain knowledge without revealing the knowledge itself. Our research proposal aims to advance the science of QPoKs by developing both theoretical foundations and practical applications. We will explore […]

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Surface Nanoscale Axial Photonics for quantum-compatible optical devices

There is a significant ongoing effort in using photonic technologies to implement quantum information processing and communications. This requires proper supporting devices, such as single photon sources, quantum-compatible delay lines, ultra-high-efficiency detectors, and others. This project proposes to fabricate, using Surface Nanoscale Axial Photonics (SNAP) technology ultra-low-loss photonic devices that could be used to create […]

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Quantum-Hybridized Cloud Integration for Next-Generation Security and Performance

The main goal of this research endeavor is the development of a hybrid cloud infrastructure that incorporates quantum computing techniques into its design in order to increase the security, scalability, and level of usability of existing cloud computing systems. This specifically means integrating the more sophisticated aspects of quantum computing, such as quantum cryptography and […]

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Optical detection of free carriers in 2D materials

This project will focus on the optical detection of free carriers in 2D materials. The insights gained will enable the extraction of carrier numbers from the absorption and emission spectra of 2D crystals subjected to high magnetic fields. Understanding the optical responses of low-dimensional, many-body systems is crucial for advancing future optoelectronic devices in quantum […]

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Enhancing atomic quantum memory through collective atomic behaviours

Quantum memories are key components in the development of a quantum network. Among their many uses, these memories will facilitate the synchronization of quantum signals at repeater nodes, which are a crucial technology for extending the long-distance reach of quantum communications. Quantum memories facilitate the transfer of quantum information from electromagnetic signals into matter-based quantum […]

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Employing Quantum Machine Learning for Improved Deepfake Audio Detection

This project aims to research and develop on building a real-time deepfake audio detection system that is capable of distinguishing between authentic and spoofed audio voices with the help of Quantum Machine Learning (QML). The primary goal is to identify the limitations of existing classical ML techniques and explore how QML can improve the different […]

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