Programme de la rencontre

Mercredi 27 mai

10h55  Mot d'ouverture (Salon A)

11h05  Danijela Markovic, Laboratoire Albert Fert, CNRS, France (Salon A)
            Quantum neuromorphic computing with superconducting circuits

12h05  Lunch (4 canards)

13h30  Logan Wright, Yale University, USA (Salon A)
            On the possibility of a virtuous cycle between photonics and computing

14h30  Ari Boon, Polytechnique Montréal (Salon A)
            Generalised All-Optical Cat Correction

14h55  Pause-café (Salon C)

15h40  Cunlu Zhou, Université de Sherbrooke (Salon A)
             Unlocking Quantum Computing's Power through Learning and Optimization

16h30  Quantum Ecosystem session (Salon A)

            - Juliette Goeffrion, Analyste calcul quantique, Calcul Québec
               Quantum Computing with HPC and NISQ Devices

            - Hélène Fortier, Agente de programme, Partenariats en recherche et en technologie, CRSNG
               The new defense strategy: The Government of Canada continues to support the development of quantum research and innovation

            - Jérôme Cabana, Conseillé sénior - Dévelppement des affaires, Mitacs
               Mitacs Globalink Research Award : Financial support for international academic collaborations

17h00  Poster session with refreshments (Salon C)

19h30  INTRIQ dinner (4 canards)

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Jeudi 28 mai

9h00   Max Hays, MIT, USA (Salon A)
             Harmonics in Josephson Junction Circuits

10h00  Félix Pellerin, Université de Montréal (Salon A)
            Non-Markovian quantum walks with engineered reservoir using optical fiber loop networks           

10h25  Pause-café (Salon C)

11h00  Robert Stockill, Co-Founder and CTO at QphoX, Netherland (Salon A)
            Optical interfaces for scalable, networked quantum computation

12h00  Lunch (4 canards)

13h30  Jacob Biamonte, École de technologie supérieure (Salon A)
            Tensor network normal forms

14h20  Aleksandr Berezutskii, Université de Sherbrooke (Salon A)
            Tensor-Network Decoding for Multi-Qubit Quantum LDPC Codes

14h45  Pause-café (Salon C)

15h15  Abhijeet Alase, Concordia University (Salon A)
           Efficient quantum algorithm for solving differential equations with Fourier nonlinearity via Koopman linearization

16h05  Jean-Baptiste Waring, École de technologie supérieure (Salon A)
             Robust GHZ State Preparation via Majority-Voted Boundary Measurements

16h25  Mot de clôture (Salon A)

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Conférencière invitée et conférenciers invités

Danijela Markovic, PhD

Chercheuse, Laboratoire Albert Fert, CNRS/Thales, France
Quantum neuromorphic computing with superconducting circuits
Neuromorphic computing aims to implement neural-network–like information processing directly in hardware. Beyond conventional, isomorphic architectures that mimic the topology of neurons interconnected through synapses, non-isomorphic approaches harness more general physical systems and their intrinsic dynamics to perform computation. In this framework, input data are encoded in one of the control parameters of a physical system whose nonlinear response, governed by tunable parameters, enables complex transformations without explicitly reproducing neural network structures. Nonlinearity, which is essential for information processing, can arise from the intrinsic system dynamics, the encoding of input data, and, in quantum systems, from the measurement process through quantum back-action.
Key challenges in the field include identifying how to harness the natural evolution of a physical system for useful computation, understanding the physical origins of computational expressivity, and developing efficient training strategies adapted to quantum hardware. In this talk, I will present our recent experimental and numerical investigations of these questions using parametrically coupled bosonic modes implemented with superconducting circuits. I will discuss how encoding, control parameters, and measured observables shape the system dynamics [Dudas, npj Quant. Info., (2023); Carles, PRApplied (2026)], together with the training strategies we have explored, including model-based approaches such as backpropagation [Dudas, Sci. Rep., (2026)], and ongoing efforts towards physics-based approaches such as equilibrium propagation. These results highlight how quantum dynamics can be leveraged for neuromorphic computation.‍

Logan Wright

Professeur, Yale University, États-Unis
On the possibility of a virtuous cycle between photonics and computing
Are we at the dawn of a new era for photonics, or merely the peak of the latest vacuous fad? A few signs (and plenty of hype) suggest that the relationship between photonics, computation, and the economy could change radically over the next decade, with photonics becoming more centrally involved in computers, and computers, as the substrate of artificial intelligence, becoming more centrally involved in pretty much everything. In this talk, I'll outline how this revolution could occur, why it would (if it actually occurs) be perhaps the single most significant development in photonics in my lifetime, how it could naturally segue into scalable quantum photonic processors, and finally, why and where it is likely to fail. I will then discuss how we as a field can improve the odds of success, and why we should be optimistic about a bright photonic future either way.

Max Hays, PhD

Chercheur, Massachusetts Institute of Technology, États-Unis
Harmonics in Josephson Junction Circuits
‍Josephson tunnel junctions are essential elements of superconducting quantum circuits. While it is typically assumed that these junctions possess a 2π-periodic sinusoidal potential, higher-order “harmonic” corrections can drastically modify the overall circuit properties.
In this talk, I will discuss two avenues of research in our group related to harmonics. In the first, we investigate the source of unanticipated harmonics in standard tunnel junctions. Two potential sources are the intrinsic Andreev processes intrinsic to the Josephson junction and the inductance of the metallic traces connecting the junction to other circuit elements. In our recent work [Kim et al., Nature Physics (2026)], we developed a method to distinguish between these two sources using superconducting quantum interference devices (SQUIDs). The observed scaling of the second harmonic with Josephson-junction size indicates that it is due almost entirely to the trace inductance in our devices. These results inform the design of next-generation superconducting circuits for quantum information processing and the investigation of the supercurrent diode effect.
The second avenue of research involves leveraging harmonics to realize a noise-resilient qubit. In our recent theoretical work [Hays et al., PRX Quantum (2025)], we engineered harmonic amplitudes to create a periodic potential with two non-degenerate minima. The qubit, which we dub “harmonium”, is formed from the lowest-energy states of each minimum. Bit-flip protection of the qubit arises due to the localization of each qubit state to their respective minima, while phase-flip protection can be understood by considering the circuit within the Born-Oppenheimer approximation. We will discuss the operating principles of this qubit and progress towards experimental realization.

Robert Stockill, PhD

Co-fondateur et directeur de la technologie à QphoX, Pays-Bas
Optical interfaces for scalable, networked quantum computation
While rapid progress continues towards quantum processors with the capacity for real impact, processor sizes remain constrained by the stringent requirements for manipulating, storing and measuring quantum information at scale. This task is only made more complex by the extreme cryogenic environments many qubits require. To this end - photonic interfaces can reshape how these systems scale, via ultra-low heat-load qubit control and readout, and ultimately by interconnecting previously isolated quantum systems via room temperature optical networks. At the same time, these interfaces must conform to demanding specifications to efficiently interconvert signals down to the single photon level. In this talk I will cover how QphoX is developing the interfaces required to scale quantum computing - and discuss the outstanding challenges and waypoints towards the realisation of distributed quantum datacentres.

Conférencières et conférencier de l'écosystème quantique

Hélène Fortier

Agente de programme, Partenariats en recherche et en technologie, CRSNG
The new defense strategy: The Government of Canada continues to support the development of quantum research and innovation
Discover how the Government of Canada is supporting the advancement of quantum research through NSERC Alliance Grants: The Alliance Quantum grants delivered through this call for proposals will support projects that advance the development and adoption of quantum technologies in Canada through partnerships between university researchers and organizations from the private, public or not-for-profit sectors, requiring no cash contribution from the partners.

Jérôme Cabana

Conseillé sénior - Développement des affaires, Mitacs
Mitacs Globalink Research Award : Financial support for international academic collaborations
Get up-to-date on Mitacs Globalink Research Award (GRA), and more specifically its Quantum Stream, which provides funding for student internships at a university outside Canada, or to host interns coming from abroad.

Juliette Goeffrion

Analyste informatique quantique, Calcul Québec
Quantum Computing with HPC and NISQ Devices
Calcul Québec is ahigh performance computing (HPC) center that hosts a 24-qubit superconductingquantum computer, MonarQ, alongside its traditional computing infrastructure.In this talk, I will give an honest overview of quantum computing in 2026, highlightingthe important role of classical HPC.  I will discuss the limitations ofcurrent noisy intermediate-scale quantum (NISQ) devices, the rapid evolution ofclassical simulation methods, and what can realistically be done with a smallquantum computer such as MonarQ.

Conférenciers INTRIQ

Abhijeet Alase

Professeur, Université Concordia
Efficient quantum algorithm for solving differential equations with Fourier nonlinearity via Koopman linearization
Quantum algorithms offer an exponential advantage with respect to the number of dependent variables for solving certain nonlinear ordinary differential equations (ODEs). These algorithms typically begin by transforming the original nonlinear ODE into a higher-dimensional linear ODE using a linearization technique, most commonly Carleman linearization. Existing works restrict their analysis to ODEs where the nonlinearities are polynomial functions of the dependent variables, significantly limiting their applicability. In this work we construct an efficient quantum algorithm for solving ODEs with ‘Fourier’ nonlinear terms. To tackle the Fourier nonlinear term, which is not expressible as a finite sum of polynomials of u, our algorithm employs a generalization of the Carleman linearization technique known as Koopman linearization. We also make other methodological advances towards relaxing the stringent dissipativity condition required for efficient solution extraction and towards integrated readout of classical quantities from the solution state. Our results open avenues to the development of efficient quantum algorithms for a significantly wider class of high-dimensional nonlinear ODEs, thereby broadening the scope of their applications.

Aleksandr Berezutskii

Doctorant, Université de Sherbrooke
Directeur: Stéfanos Kourtis
Tensor-Network Decoding For Multi-Qubit Quantum LDPC Codes
Protecting quantum information from noise requires efficient decoding algorithms for quantum error-correcting codes. Quantum low-density parity-check (LDPC) codes encode multiple logical qubits with sparse parity checks, offering a dramatically better ratio of logical to physical qubits than the surface code. However, exact maximum likelihood decoding requires optimizing over 4k logical classes which is exponentially large in the number of encoded qubits k. This makes exact decoding infeasible in the general case. We introduce a code-agnostic tensor-network decoder for CSS quantum error-correcting codes that operates in this multi-qubit regime. The decoder represents the posterior probability distribution over Pauli errors as a matrix product state (MPS), enforces the code’s stabilizer and logical constraints via sequential matrix product operator (MPO) applications, and marginalizes over the physical degrees of freedom. We validate the decoder on several code families of increasing complexity. The decoder achieves logical failure rates at the same order of magnitude as state-of-the-art specialized decoders on these codes without any code-specific tuning, establishing it as a practical benchmarking tool for new code families. The full pipeline is implemented in the open-source Python library mdopt.

Ari Boon

Doctorant, Polytechnique Montréal
Directeur: Nicolas Quesada
Generalised All-Optical Cat Correction
We have generalised an all-optical telecorrection protocol for the higher orders of the cat code, and show that with these higher orders we can achieve target performance at substantially reduced iteration counts at the cost of a higher mean photon-number. We also introduce a probabilistic scheme for correcting deformation of the state, which highlights two interesting abilities of telecorrection: to encode new sets of transformations, and to change the basis of the code. We find that for a target channel fidelity of 99.9% over a channel with 1 dB of loss, a third-order cat code requires 70 times fewer telecorrection iterations than a first-order one, at a cost of a 3.6-fold increase in mean photon-number.
https://arxiv.org/abs/2603.03263

Cunlu Zhou

Professeur, Université de Sherbrooke
Unlocking Quantum Computing's Power through Learning and Optimization
Quantum computing promises to revolutionize computation by solving problems and enabling discoveries that are impractical for classical computers alone. Despite rapid progress in quantum hardware, from noisy intermediate-scale quantum (NISQ) processors with hundreds of physical qubits to emerging early fault-tolerant quantum (EFTQ) architectures with potentially hundreds of logical qubits and millions of logical gates, realizing this promise will ultimately depend on developing algorithms and enabling tools that can effectively harness limited and imperfect quantum resources.

In this talk, I will discuss how learning and optimization can serve as two main engines for unlocking the power of quantum computing. I will present some recent results on classical shadows, error mitigation, and generative learning of optimal quantum measurements, highlighting how these developments can lead to more efficient, noise-resilient, and practically useful quantum algorithms.

Félix Pellerin

Doctorant, Université de Montréal
Directeur: Philippe St-Jean
Non-Markovian quantum walks with engineered reservoir using optical fiber loop networks
We report an experimental platform for simulating open quantum dynamics using coupled optical fiber loops with fully engineered environments. By implementing an analog of the Wigner–Weisskopf model, a photonic mode (effective two-level system) is coupled to a programmable bath with tunable spectral density, realized via electro-optic modulation. This enables controlled exploration of non-Markovian effects, including tailored decay dynamics and Lamb shifts, in quantitative agreement with theory. Leveraging this control, we map the system to a quantum walk on a Su–Schrieffer–Heeger (SSH) lattice with site-dependent dissipation and extract the topological winding number. We find that the invariant remains robust for sub-Ohmic bath spectra, demonstrating resilience of topological features under structured environmental coupling. Our results establish fiber-loop networks as a versatile platform for studying decoherence, engineered reservoirs, and the interplay between topology and dissipation in quantum photonic systems.

Jacob Biamonte

Professeur, École de technologie supérieure
Tensor network normal forms
We introduce tensor-guards as a primitive semantic layer for tensor network graphical calculi. Guard collapse induces sector invariants that recover tensor-network contraction semantics for counting and satisfiability. The Biamonte–Clark–Jaksch and ZX/W/scalar normal forms emerge as scalar-enriched compositions of guards, while a third algebraic normal form arises from complementary halves of a shared collapsed guard structure.

Jean-Baptiste Waring

Doctorant, École de technologie supérieure
Directeur: Christophe Père
Robust GHZ State Preparation via Majority-Voted Boundary Measurements
Preparing high-fidelity Greenberger-Horne-Zeilinger (GHZ) states on noisy quantum hardware remains challenging due to cumulative gate errors and decoherence. We introduce Group-Majority-Voting (Group-MV), a dynamic-circuit protocol that partitions arbitrary coupling graphs, prepares local GHZ states in parallel, and fuses them via majority-voted mid-circuit measurements. The majority vote over redundant boundary links mitigates measurement errors that would otherwise propagate through classical feedforward. We evaluate Group-MV on simulated Heavy-hex and Grid topologies for 30 through 60 qubits under a realistic noise regime. Group-MV generalizes to arbitrary GHZ sizes on arbitrary coupling topologies, achieving 2.4x higher fidelity than the Line Dynamic method while tracking the unitary baseline within 3%.

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Session d'affiches

Abhinav Sinha

Doctorante, Université McGill
Directeur: Kai Wang
Fisher Optimized Multiplane Light Conversion for Quantum Parameter Estimation
We propose a self-optimizing photonic neural network based on multiplane light conversion (MPLC) for quantum parameter estimation. Unlike static mode sorters, our system adaptively learns measurement strategies by maximizing Classical Fisher Information (CFI) using a simultaneous perturbation stochastic approximation algorithm. We demonstrate this on the two-point source separation problem. Our approach achieves near-optimal precision (reaching the Quantum Fisher Information limit) and maintains robustness against centroid misalignment, outperforming standard direct imaging and spatial mode demultiplexing methods.

Aditya Chugh

Étudiant à la maîtrise, Université McGill
Directrice: Tami Pereg-Barnea
Titre à venir

Charles Khoury

Stagiaire, Université de Sherbrooke
Directeur: Stéfanos Kourtis
Titre à venir

Guanyi Heng

Doctorant, École de technologie supérieure
Directeur: Jacob Biamonte
Title to be announced

Ilya Iakoub

Étudiant à la maîtrise, Université de Montréal
Directeur: Richard MacKenzie
Topological edge states in one dimensional insulators as exceptional points of the Hamiltonian
We provide a physically insightful derivation of Bulk-Boundary Correspondence for one dimensional semi-infinite chains. To do so, we analytically continue the Bloch Hamiltonian and interpret states with zeros in its sublattices as (not necessarily topological) edge states. In the analytically continued Bloch Hamiltonian, chiral symmetry leads to the existence of exceptional points corresponding to topological edge states. Through this insight, the quantization of the Berry phase can be attributed to the presence of exceptional points in the analytically continued Hamiltonian. Finally, we derive winding numbers that count the numbers of topological and non-topological edge states. This winding is, contrary to the Zak phase, independent of the choice of unit cell.

Isaac Lagaud

Étudiant à la maîtrise, Université d'Ottawa
Directeur: Louis Gaudreau
Exploring Alternative Layered Materials as Gate Dielectrics for 2D Material Based Devices
The performance and scalability of two-dimensional (2D) based quantum devices are strongly influenced by the choice of gate dielectric. In gate-defined quantum devices high-κ dielectrics improve electrostatic tunability, and reduce gate leakage. Hexagonal boron nitride (hBN), a 2D layered material, has become a widely used dielectric due to the clean interface it forms with 2D materials and its wide band gap. However, its relatively low dielectric constant (κ ≈ 2.5–4) [1] limits the gate capacitance, and incidentally the charge carrier density.
This project aims to explore Lanthanum OxyBromide (LaOBr) as an alternative crystalline layered dielectric. Its properties such as a high dielectric constant, large band gap, and its compatibility with van der Waals heterostructures [2] makes it a promising material to overcome the limitations of hBN while preserving the benefits of a 2D-2D interface.
To evaluate LaOBr as a suitable gate dielectric, we fabricated 2D-based field-effect devices and characterized key electrical properties, focusing on the gate leakage current, device carrier mobility, gate dielectric breakdown, and dielectric constant. This work will prompt the study of other layered high k dielectrics as alternatives to hBN, providing additional tuning knobs for heterostructure fabrication.
[1] J. Boddison-Chouinard, et al. npj 2D Mater Appl 7, 50 (2023)
[2] A. Soll et al ACS Nano 2024, 18, 15, 10397–10406 (2024)

Jérémy Peltier

Doctorant, Université de Montréal
Directeur: Philippe St-Jean
Anomalous Quantum Hall Effect for Light
We report an anomalous Hall effect for light confined in a silicon-based photonic crystal. A pseudo-magnetic field is induced through a spatial deformation of a honeycomb lattice. We further observe a polarization-dependent transverse drift through the implementation of an artificial electric field.

Justin Bourdignon

Étudiant à la maîtrise, Université McGill
Directeur: Kai Wang
Fisher-Information Mapping of Photodetector Operating Regimes for Dual-Parameter Thermal Sensing
Thermal sensing is much harder when emissivity is not known, since increasing the temperature and increasing the emissivity can both increase the measured signal. In this work, I use a Fisher information model to study where different photodetectors are useful for estimating both temperature and greybody emissivity. The input to the model is a detector quantum efficiency curve, which can also include other wavelength-dependent effects such as filters, lenses, or atmospheric transmission. For each detector, I compute the Fisher matrix over a range of temperatures and emissivities, then plot quantities such as the diagonal matrix elements, determinant, singular values, inverse condition number, ellipse angle, and the marginalized temperature information. These maps show where the detector has strong temperature sensitivity, and where the temperature-emissivity degeneracy becomes a problem. I apply the method to representative Si CCD and InGaAs response curves to show how the useful thermal sensing regime depends strongly on the spectral band of the detector. The goal is to build a simple framework for comparing sensors and identifying useful operating regions.

Kylian Lionnet

Stagiaire, Université de Montréal
Directeur: Richard MacKenzie
A study of new types of states in generalized SSH systems
The Su–Schrieffer–Heeger (SSH) model is a fundamental example of topology in one-dimensional lattices. When extended to include longer-range hopping (SSH-N models), the structure of eigenstates becomes significantly more complex and remains only partially understood.
We analyze these generalized models using Bloch theory and numerical methods to determine their band structures and eigenmodes. We show that both the number and nature of eigenstates depend strongly on the unit cell geometry and coupling parameters.
Unlike the standard SSH model, extended hopping leads to new classes of solutions, including additional bulk states and exponentially localized modes. These results provide a framework for engineering novel quantum states in one-dimensional systems.

Lorraine Tsitsi Majiri

‍Étudiante à la maîtrise, Université de Sherbrooke
Directeur: Stéfanos Kourtis
Titre à venir

Michael Caouette-Mansour

Doctorant, Université McGill
Directeur: Jack Sankey
High Mode Matching Fiber Fabry Perot Cavity
We optimize the fiber/optical cavity interfaces to improve the coupling between the cavity mode and the fiber mode. This aims to address a significant source of loss in quantum communications and to enhance measurements using Fabry-Perot cavities coupled to optical fibers.
Our method involves measuring the glass-air reflection inside the fiber during its preparation, before the deposition of the mirror. This information, combined with surface profilometry, allows us to predict the coupling.
Based on our results with single-mode fiber, we predict a coupling efficiency exceeding 95% on the flat side of a plano-convex cavity. As a result, this coupling will no longer be a limiting factor in the quantum efficiency of these systems.

Mohamed Amine Kabraoui

Doctorant, Université d'Ottawa
Directeur: Louis Gaudreau
Towards Electrostatistically Enabled Single-Photon Emitters in WSe₂ Using Graphite Nanopore Gating

Nicolas Levasseur

Doctorant, Université de Montréal
Directeur: Richard MacKenzie
Étude de la chaîne de Su-Schrieffer-Heeger (SSH) avec un soliton parfaitement localisé
On étudie l’impact sur les états et énergies propres du modèle SSH de l’ajout d’un soliton parfaitement localisé à la frontière entre deux configurations topologiques. On observe l’apparition d’états d’interfaces de hautes (k imaginaire) et de basses (k complexe) énergies dans le cas infini. Pour le cas fini, on observe que les états de bord du modèle SSH usuel peuvent s’hybrider avec ces nouveaux états. On trouve aussi les points critiques entre les différentes configuration du système. On finit par une étude numérique de l’ajout de bruit au système.

Omid Hosseinzadeh

Doctorant, Polytechnique Montréal
Directeur: Stéphane Kéna-Cohen
Intensity squeezed single photon sources at room temperature from organic molecules

Pacôme Gasnier

Stagiaire, École de technologie supérieure
Directeur: Jacob Biamonte
Titre à venir

Piotr Jakuc

Stagiaire, Université McGill
Directeur: Thomas Szkopek
Building an Ultra-High Vacuum System for Optoelectronic Characterization of Alkali-Doped Graphene
Extreme alkali doping in graphene is a promising path toward correlated electron behaviour such as superconductivity, with largely unexplored flat-band physics near the van Hove singularity. That said, understanding alkali intercalation, diffusion, and desorption in graphene remains an open area of study. We present the development of an operando Raman and hyperspectral imaging platform to probe alkali-doped graphene. Alkali (K+, Rb+, Cs+) doping will be achieved with getter deposition sources. The system guides an external laser into an ultra-high vacuum chamber, with a secondary imaging path which enables precise laser alignment onto the sample. Mechanical stabilization reduced sample vibrations from approximately 30 μm to 1 μm. The system will measure Raman spectra at 355 nm and 532 nm excitation, and 400-1000nm hyperspectral reflectance to assess doping uniformity and diffusion dynamics. The system will also be fitted with a cryostat and a heating stage to enable temperature-dependent studies, alongside 4-contact resistance measurements to correlate optical signatures with transport. Future work includes implementing low-energy electron diffraction and angle-resolved photoemission spectroscopy to probe Kekulé order and band structure. More broadly, the system will be useful in the study of a wide variety of materials at extreme charge density, including fullerenes, fullertubes, and 2D materials in general.

Polina Blinova

Doctorant, Université McGill
Directeur: Kay Wang
Beyond the Squeezing Spectrum: Output-Field Quantum Fisher Information in Parametric Optical Sensors
Squeezed light is a central resource for quantum-enhanced sensing, but the squeezing spectrum alone does not determine how much information is available about a physical parameter. We analyze parameter sensing in an optical parametric oscillator where the input field is vacuum. Using quantum Fisher information, we evaluate how the full frequency-dependent output covariance matrix changes under an infinitesimal intra-cavity parameter perturbation and identify how information is distributed across correlated frequency pairs. This framework separates three notions that are often implicitly connected but are not generally equivalent: maximum squeezing, enhanced spectral response, and optimal parameter sensitivity. We show that the operating point with the strongest squeezing is not necessarily the most informative one, and that enhanced response features such as operating at the exceptional point do not by themselves determine the achievable sensing performance. Our results provide design principles for parametric squeezed-light sensors beyond optimizing the squeezing spectrum alone.

Samuel Wolski

Doctorant, Université de Sherbrooke
Directeur: Mathieu Juan
Characterizing disordered superconductor CPWs under magnetic field

Shaghayegh Laktarash

Doctorante, Polytechnique
Directeur: Sébastien Francoeur
‍New Photoluminescence Peaks in Carbon-Implanted Germanium: Evidence for Excitons Bound to Isoelectronic Centers
We present a photoluminescence (PL) study of bulk germaniumimplanted with carbon ions at doses between 2×10¹¹ and 1×10¹⁴ at/cm² andenergies of 20–250 keV, followed by rapid thermal annealing (RTA) attemperatures from 200 to 500°C. Low-temperature PL measurements at 3.5 K revealnew spectral features, labeled C726, C737, C738, and C739, that appear only inhigh-dose samples after RTA at 300–400°C. These peaks saturate quickly withexcitation power, which points to bound exciton recombination at isoelectroniccenters introduced by carbon. Their dependence on dose, implantation energy,and annealing conditions suggests the formation of distinct carbon-relateddefect complexes in the Ge lattice. Power- and temperature-dependentmeasurements are ongoing to further characterize these centers.