Projets novateurs réalisés

Generation of Squeezed States in Erbium-Doped Fiber for Quantum-Enhanced Dual-Comb Spectroscopy

This project focuses on improving the sensitivity of advanced laser measurement tools, known as dual-comb spectrometers, by using quantum mechanics to reduce noise below standard physical limits. During a research internship at the University of Colorado Boulder, the student will learn to generate “squeezed” states of light and aim to adapt this cutting-edge technology to cost-effective fiber lasers, making high-precision sensing more widely accessible for applications like environmental monitoring. This collaboration benefits both institutions by combining the University of Colorado’s world-class experimental facilities in quantum optics with Université Laval’s expertise in signal processing, ultimately allowing the latter to import rare engineering knowledge to build Québec’s first quantum-enhanced spectroscopy setup.

Technical and Business Interns working within cross functional teams to commercialize AI-powered solutions

The intern listed (Divena Raina) on this particular application will work alongside the Government of Alberta on the Smart Document Extraction Agent team. The goal of a Government of Alberta Redaction Assistant would be to empower the government to handle sensitive information and access requests with greater eff iciency and security.
? Focus: using the SDP application template to create an Automated PII Redaction Tool. The main reason for the project is to automate the identification and masking of Personally Identifiable Information (PII) in high-volume, unstructured public sector documents, such as those related to Freedom of Information and Protection of Privacy (FOIP) requests. This automation replaces the current manual, time-consuming, and error-prone redaction process, directly addressing the growing volume of digital data and the increasing regulatory burden under new privacy legislation.
? Value: The Value of the project is substantial in terms of financial savings, risk mitigation, and operational eff iciency. The automation of redaction provides financial benefit by freeing up highly skilled FOIP analysts and records management off icers from repetitive, manual tasks, allowing them to focus on complex policy interpretation and disclosure decisions. The solution brings value to citizens by ensuring the GoA is compliant with the Protection of Privacy Act (PPA), drastically reducing the risk of accidental PII disclosure (data breach risk).
The intern listed (Nicholas Chin) on this particular application will be working alongside the Government of Alberta team to streamline the deployment of “Smart Document Extraction Agents” using Machine Learning. The goal of a Government of Alberta Redaction Assistant would be to empower the government to handle sensitive information and access requests with greater eff iciency and security..
? Focus: using the SDP application template to create an Automated PII Redaction Tool. The main reason for the project is to automate the identification and masking of Personally Identifiable Information (PII) in high-volume, unstructured public sector documents, such as those related to Freedom of Information and Protection of Privacy (FOIP) requests. This automation replaces the current manual, time-consuming, and error-prone redaction process, directly addressing the growing volume of digital data and the increasing regulatory burden under new privacy legislation.
? Value: The Value of the project is substantial in terms of financial savings, risk mitigation, and operational eff iciency. The automation of redaction provides financial benefit by freeing up highly skilled FOIP analysts and records management off icers from repetitive, manual tasks, allowing them to focus on complex policy interpretation and disclosure decisions. The solution brings value to citizens by ensuring the GoA is compliant with the Protection of Privacy Act (PPA), drastically reducing the risk of accidental PII disclosure (data breach risk).
The intern listed (Syra Singh) on this particular application will be working alongside the AltaForge team to streamline the product management and product marketing eff orts for AltaForge, which is AltaML’s proprietary AI Agent platform. The goal of this platform is to consolidate Agentic AI solutions built by AltaML.
? Focus: The main reason for this project is to standardize Agentic AI solutions, such as the “Smart Document Extraction Agents”, into a client-facing application that allows the client to interact with, observe the performance of, and view key performance indicators related to their solution. This proprietary platform allows for standardizing how AltaML creates and delivers AI solutions for diff erent clients, rectifying the ineff iciencies of developing bespoke solutions.
? Value: The value of this project lies in the standardization of how AltaML develops and delivers secure, observable, and managed AI solutions for their clients. Furthermore, it brings value across all AltaML’s clients by serving as a governance layer for AI Agents provisioned for clients with focus on transparency, robustness, and clear metrics that relay an AI Agent’s performance to key stakeholders through KPI dashboards
The interns listed (Joseph Zhang, Anderson Yang) on this particular application will be working alongside the AltaForge team to develop features for AltaForge, which is AltaML’s proprietary AI Agent platform. The goal of this platform is to consolidate Agentic AI solutions built by AltaML.
? Focus: The main reason for this project is to take a real-world problem and deliver a solution where parts of it can be built as reusable IP for AltaForge
? Value: The value of this project lies in the development of a reusable IP that will bring value across many more AltaML clients.

New Perspectives in Quantum Materials: Floquet Circuits and Magnetic Aspects of Hyperbolic Lattices

This project aims to develop new driving protocols and investigate the exotic physical properties of hyperbolic quantum materials using time-periodically modulated (“Floquet”) electrical circuits under magnetic driving. By leveraging these programmable circuits, we will explore how curvature and periodic modulation influence energy flow, spectral features, and effective magnetic behavior in synthetic hyperbolic lattices. The collaboration combines the University of Saskatchewan’s groundbreaking expertise in synthetic hyperbolic materials and hyperbolic band theory with the University of Würzburg’s world-leading capabilities in circuit-based quantum material simulation. Together, the partnership will advance the fundamental understanding of hyperbolic quantum systems while strengthening international ties and supporting future innovations in quantum science and technology.

QV Studio – Validate 2026 – Anne

Simulation of quantum systems is important for modern technologies. However, obtaining quantum solutions is known to be harder than we can expect to accomplish with any efficient algorithm. The discovery of new technologies is highly reliant on improving existing simulation techniques. Our proposal is to radically reinvent how simulations of quantum problems is performed. We have generated new simulation techniques that offer rapidly convergent solutions based on quantum information principles, and we will apply them to systems of interest for quantum chemistry, biology, and the construction of quantum computers.
There are very few companies in Canada that work directly with the simulation of quantum materials. We pledge to work collaboratively with the few existing companies that are in this area and expand their capabilities to bring practical and relevant technologies to market. Partnering with the QV Studio will allow for efficient dissemination of critical research results to combat some of the outstanding challenges that modern society faces.

QV Studio – Validate 2026 – Suyash

This project investigates whether it is possible to use today’s commercial semiconductor technologies to build next generation of quantum devices and the electronics needed to control them at extremely low temperatures. Early research suggests this may be possible in modern semiconductor processes, offering a promising path toward more accessible, scalable quantum hardware. The project has potential to impact multiple sectors including quantum computing, precision sensing and metrology, semiconductor manufacturing, defense and aerospace, and secure communications—by enabling scalable, low-power quantum–classical hardware built directly in commercial CMOS technologies. The key question—and the purpose of working with QV Studio—is to determine whether this scientific insight can become a practical, high-impact startup idea. QV Studio’s validation program will help assess real industry needs, explore potential applications in quantum computing and sensing, and evaluate whether this approach can solve meaningful problems in the quantum technology ecosystem. The work requires a combination of expertise in quantum technologies, semiconductor design, and market and product validation to understand whether this concept can evolve into a viable commercial venture.

QV Studio – Validate 2026 – Naveen

The Inelastic Cooper-Pair Tunneling Amplifier (ICTA) is a DC-powered superconducting amplifier that achieves quantum-limited noise without the microwave pump tones required by all other quantum-limited amplifiers, vastly simplifying cryogenic setups and enabling scalable qubit readout with a 10 GHz gain-bandwidth product and potential operation up to THz frequencies. The purpose of this project is to evaluate the commercial viability of the ICTA through targeted market research. This involves assessing key factors such as the overall market size and projected growth for superconducting microwave amplifiers in quantum computing applications., which is part of the broader superconducting quantum computing sector. Potential customers could include quantum computing companies (e.g., IBM, Google Quantum AI, or Rigetti), research institutions, and emerging startups focused on scalable qubit systems, where low-noise amplifiers like ICTA address critical pain points in signal readout and integration.

Market research would also examine competitors, such as established players developing similar quantum-limited amplifiers—e.g., Silent Waves, ScalinQ, Arctic Instruments, Qubic Inc., Quantum Microwave. These companies have been raising money to scale superconducting microwave amplifiers for quantum computers, or traditional Josephson parametric amplifiers that require complex microwave pumps. Barriers to entry, including high R&D costs, cryogenic infrastructure needs, and intellectual property from ongoing research, would be analyzed alongside opportunities like the quantum computing market’s expansion. Ultimately, this feasibility study could determine pricing strategies, partnership potential, and scalability for bringing ICTA from lab prototypes to market-ready products, potentially disrupting the field by enabling denser, more efficient quantum processors.

QV Studio – Validate 2026 – Jiang

This project will help transform a laboratory-built 3D imaging technology into a market-ready product. I have developed a fast, non-contact camera–projector system that captures 3D surface information even when objects are moving. Unlike most existing 3D scanners, my approach has been experimentally demonstrated to achieve the world’s highest speed of up to 150,000 frames per second, operating in real time and handling complex surfaces such as shiny metal and plastics. These capabilities are attractive for applications such as quantum hardware production and advanced manufacturing, where tiny structures on wafers and chips must be inspected quickly and without damage, and for industrial packaging, where blow-moulded bottles and other products move rapidly on production lines and small shape defects can lead to waste, recalls, and quality problems.

During the L2M–QV Studio Validate program, as an intern, I will work with QVstudio to identify the most promising early markets, talk with potential users, translate technical performance into clear value propositions and simple use cases, and refine the technical roadmap based on real applications. For example, extending the method to the challenging case of transparent or translucent objects is a potential technical upgrade. The project will also refine a compact prototype, define basic product requirements such as size, ease of use, and expected price, and outline a go-to-market plan and revenue model that fit the needs of Canadian and international customers.

The work will further explore collaboration and commercialization pathways with industrial partners, helping QVstudio test partnership and channel strategies. For the partner organization, this Validate project will reduce uncertainty around where and how to launch the technology, provide a first set of engaged industrial contacts and realistic pilot opportunities, and build the foundation for a future spin-off company focused on 3D imaging solutions that improve quality, reduce waste, and increase productivity in quantum-related advanced manufacturing.

Étude des attaquants dits couverts dans un protocole distribué soucieux de la vie privée.

Nous sommes dans un contexte où un très grand nombre de données, souvent personnelles, sont produites et stockées à travers le monde. Chaque continent, et parfois chaque pays, possède ses propres lois encadrant la protection des données, comme le RGPD en Europe. Ainsi pour faire des calculs sur l’ensemble de ces données il faut utiliser des algorithmes distribués et soucieux de la vie privée. Dans notre cas, nous utilisons du chiffrement homomorphe. Il permet d’effectuer des opérations directement sur des données chiffrées sans avoir à les déchiffrer préalablement.
Dans mes travaux de première année de thèse, nous avons supposé des attaquants ayant des capacités très limitées. Pourtant il existe, dans le monde actuel, des adversaires bien plus puissants et malveillants. Le but de ma mobilité à l’UQÀM serait de s’intéresser à des attaquants dits couverts, c’est-à-dire capables de dévier du protocole initial à la condition de ne pas se faire remarquer. En d’autres termes, l’objectif de ce travail est de concevoir des attaques où l’adversaire triche de façon invisible aux yeux des autres participants.

Autonomous Tethered Navigation of a Drywall-Sanding Mobile Manipulator

Nowadays, many building contractors use modular construction, where various parts of a building are partially or completely built on an assembly line and then assembled on-site. Building interior modules often involve finishing plasterboard walls, including closing joints between panels and hiding fasteners or defects.

To automate this task, mobile manipulators, equipped with a robotic arm, a sanding tool, and a vacuum system, are promising solutions. However, these systems are highly energy-demanding, and relying solely on batteries severely limits their autonomy and operational efficiency. A practical alternative is to power the robot through a tethered cable, ensuring continuous energy supply. This approach introduces unique navigation challenges: the cable can become entangled around obstacles or end up under the robot’s wheels, compromising safety and mission success.

This project investigates the development of a tether-aware navigation architecture for mobile robots. The goal is to enable autonomous movement while preventing cable entanglement and minimizing contact with obstacles. Building on previous work in surface identification, sanding tool control and autonomous scanning and navigation, this research focuses on integrating a dynamic cable model with global and local path planning strategies.

Vision 2050 Project

International Conservation Models & Regional Conservation Program Analysis for Georgian Bay

Georgian Bay is an ecologically significant coastal region facing increasing pressures from development, climate change, invasive species, and fragmented governance. These challenges parallel those experienced globally in other large coastal systems. To support long-term, evidence-based environmental planning, this project will evaluate successful conservation and coastal-management models from around the world and synthesize lessons that can be adapted to Georgian Bay. Examining established international frameworks such as governance structures, financing tools, and community or Indigenous stewardship approaches will prevent duplication of effort and provide Vision 2050 with tested, scalable strategies tailored to the Bay’s unique socio-ecological context.

In parallel, the project will produce the first consolidated overview of conservation and environmental management initiatives currently active across eastern and northern Georgian Bay. Although many governments, First Nations, conservation authorities, NGOs, and community organizations are undertaking valuable stewardship work, their efforts often operate independently. A coordinated regional understanding is needed to highlight strengths, gaps, overlaps, and opportunities for collaboration.

Using applied research methods, the intern will: conduct an expanded global literature review; identify 8-10 international case studies; perform comparative policy analysis; gather materials from local conservation stakeholders; create a structured and searchable program inventory; and code initiatives thematically to assess their alignment with Vision 2050 priorities. Findings from both workstreams will be synthesized into practical recommendations to support coordinated, long-term conservation planning.

The project will produce four main deliverables:
1. A research and policy paper evaluating international conservation and coastal-management models.
2. A comparative matrix summarizing strengths, weaknesses, and transferable practices.
3. A consolidated inventory of conservation initiatives across eastern and northern Georgian Bay.
4. A strengths-gaps-opportunities analysis and policy brief to inform Vision 2050.

Together, these outputs will equip the Georgian Bay Association with the strategic insight needed to guide region-wide environmental planning and support collaborative, future-focused stewardship.

Analyse et structuration d’un processus d’innovation lié aux montages de projets de R&D

Le projet consiste à améliorer une démarche interne permettant de mieux comprendre et organiser des enjeux d’innovation dans divers contextes. La stagiaire participera à l’analyse, à la documentation et à l’optimisation des outils afin d’appuyer les parties prenantes engagées.

Projet d’innovation – Agent conversationnel pour Power BI

Ce projet vise à développer une plateforme conversationnelle permettant d’interroger des données structurées dans Power BI à l’aide du langage naturel. L’objectif est de simplifier l’accès aux données financières et de gestion de l’entreprise, actuellement statiques et difficiles à exploiter sans expertise technique.
L’innovation repose sur deux composantes principales :
– Un back-end capable de traiter des requêtes DAX (langage de Power BI), de les transmettre aux datasets Power BI, puis de retourner les résultats de manière exploitable.
– Un agent conversationnel en front-end, entraîné à comprendre un dataset spécifique et à générer automatiquement des requêtes DAX en réponse à des questions formulées en langage naturel.
L’agent sera intégré à des outils collaboratifs comme Microsoft Teams, afin d’en faciliter l’adoption par les équipes internes et de favoriser une prise de décision rapide et autonome.

Rôle du stagiaire :
– Participer au développement du back-end (API, gestion des requêtes DAX, intégration avec Power BI).
– Contribuer à l’entraînement et à l’intégration du modèle conversationnel.
– Réaliser des tests fonctionnels à partir de cas concrets.
– Aider à l’intégration dans Microsoft Teams via Microsoft Graph.
Méthodologies et technologies :
– Intelligence artificielle (modèles génératifs, NLP)
– Langages : Python, TypeScript
– Requêtes DAX, APIs REST, Power BI Embedded
-Intégration avec la suite Microsoft 365