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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

This project aims to improve the transparency and trustworthiness of AI systems in healthcare by using quantum-inspired agent-based modeling (ABM). By combining this with AI-based medical forecasting, the project will help create more reliable and ethical AI models that can handle complex medical data. The participating institutions will benefit by advancing their expertise in AI […]

Quantum entropy inequalities fundamentally limit how information can be distributed in a quantum system. However, it is an open problem to list and show all the entropy inequalities for the quantum setting beyond 3-party systems, which has proven extremely challenging both numerically and analytically. As the number of qubits we can experimentally initiate and control […]