30 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mateusz Trokielewicz14 · h 16
- A. Czajka10 · h 28
- P. Maciejewicz8 · h 14
- Grzegorz Rajchel-Mieldzio'c2 profiles5 · h 4
- Karolina Seweryn4 · h 5
- Michał Oszmaniec3 profiles4 · h 21
- Anna Wróblewska3 · h 3
- A. Srivastava2 · h 3
- Daniel McNulty2 · h 2
- Ewelina Bartuzi2 · h 5
- Maciej Lewenstein2 profiles2 · h 5
- Marcin Plodzie'n2 profiles2 · h 6
- Warsaw University of TechnologyPL18 papers
- Medical University of WarsawPL8 papers
- Center for Theoretical PhysicsPL5 papers
- Institute of Photonic SciencesES5 papers
- Polish Academy of SciencesPL5 papers
- Institució Catalana de Recerca i Estudis AvançatsES4 papers
- University of WarsawPL4 papers
- Jagiellonian UniversityPL3 papers
- AGH University of KrakowPL2 papers
- University of Bari Aldo MoroIT2 papers
- University of Notre DameUS2 papers
- Aalborg UniversityDK1 paper
35 papers
SLM-Conditioned Hierarchical Relation Routing for Labeled Property Graph Learning
Michal Podstawski
Labeled property graphs combine relational structure with heterogeneous textual and categorical properties attached to both nodes and relationships. Conventional graph neural netwo…
Privacy for Quantum Annealing. Attack on Spin Reversal Transformations in the case of cryptanalysis
Mateusz Leśniak, Michał Wroński
This paper demonstrates that applying spin reversal transformations (SRT), commonly known as a sufficient method for privacy enhancement in problems solved using quantum annealing,…
Entanglement classification and \emph{non-k}-separability certification via Greenberger-Horne-Zeilinger-class fidelity
Marcin Płodzień, Jan Chwedeńczuk, Maciej Lewenstein +1
Many-body quantum systems can be characterised using the notions of \emph{k}-separability and entanglement depth. A quantum state is \emph{k}-separable if it can be expressed as a…
Piquasso: A Photonic Quantum Computer Simulation Software Platform
Zoltán Kolarovszki, Tomasz Rybotycki, Péter Rakyta +10
We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. Piquasso can b…
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
Antonina Krajewska, Ewa Niewiadomska-Szynkiewicz
We present a novel method for matrix completion, specifically designed for matrices where one dimension is significantly larger than the other. Our Columns Selected Matrix Completi…
Optimal Fermionic Joint Measurements for Estimating Non-Commuting Majorana Observables
Daniel McNulty, Susane Calegari, Michał Oszmaniec
An important class of fermionic observables, relevant in tasks such as fermionic partial tomography and estimating energy levels of chemical Hamiltonians, are the binary measuremen…
A Simple and Efficient Joint Measurement Strategy for Estimating Fermionic Observables and Hamiltonians
Joanna Majsak, Daniel McNulty, Michał Oszmaniec
We propose a simple scheme to estimate fermionic observables and Hamiltonians relevant in quantum chemistry and correlated fermionic systems. Our approach is based on implementing…
Introduction to quantum entanglement in many-body systems
Anubhav Kumar Srivastava, Guillem Müller-Rigat, Maciej Lewenstein +1
The quantum mechanics formalism introduced new revolutionary concepts challenging our everyday perceptions. Arguably, quantum entanglement, which explains correlations that cannot…
Improving Object Detection Quality in Football Through Super-Resolution Techniques
Karolina Seweryn, Gabriel Chęć, Szymon Łukasik +1
This study explores the potential of super-resolution techniques in enhancing object detection accuracy in football. Given the sport's fast-paced nature and the critical importance…
Metrological robustness of high photon number optical cat states
Philipp Stammer, Tomás Fernández Martos, Maciej Lewenstein +1
In the domain of quantum metrology, cat states have demonstrated their utility despite their inherent fragility with respect to losses. Here, we introduce noise robust optical cat…
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives
Karolina Seweryn, Anna Wróblewska, Szymon Łukasik
Action scene understanding in soccer is a challenging task due to the complex and dynamic nature of the game, as well as the interactions between players. This article provides a c…
SoccerNet 2023 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +99
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…
Rényi-Holevo inequality from --Rényi relative entropies
Diego G. Bussandri, Grzegorz Rajchel-Mieldzioć, Pedro W. Lamberti +1
We investigate bounds in the transmission of classical information through quantum systems. Our focus lies in the generalized Holevo theorem, which provides a single-letter Holevo-…
Enhancing quantum state tomography via resource-efficient attention-based neural networks
Adriano Macarone Palmieri, Guillem Müller-Rigat, Anubhav Kumar Srivastava +3
Resource-efficient quantum state tomography is one of the key ingredients of future quantum technologies. In this work, we propose a new tomography protocol combining standard quan…
Improved simulation of quantum circuits dominated by free fermionic operations
Oliver Reardon-Smith, Michał Oszmaniec, Kamil Korzekwa
We present a classical algorithm for simulating universal quantum circuits composed of "free" nearest-neighbour matchgates or equivalently fermionic-linear-optical (FLO) gates, and…
Automating the Analysis of Institutional Design in International Agreements
Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn +4
This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements. The focus was to analyze the relat…
Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
Daniel Ziembicki, Anna Wróblewska, Karolina Seweryn
Despite recent breakthroughs in Machine Learning for Natural Language Processing, the Natural Language Inference (NLI) problems still constitute a challenge. To this purpose we con…
Botnet fingerprinting method based on anomaly detection in SMTP conversations
Piotr Bazydło, Krzysztof Lasota, Adam Kozakiewicz
The paper presents the results obtained during research on detection of unsolicited e-mails which are sent by botnets. The distinction from most of the existing solutions is the fa…
Thermal Features for Presentation Attack Detection in Hand Biometrics
Ewelina Bartuzi, Mateusz Trokielewicz
This paper proposes a method for utilizing thermal features of the hand for the purpose of presentation attack detection (PAD) that can be employed in a hand biometrics system's pi…
Iris recognition in cases of eye pathology
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This chapter provides insight on how iris recognition, one of the leading biometric identification technologies in the world, can be impacted by pathologies and illnesses present i…
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera
Mateusz Trokielewicz
This paper delivers a new database of iris images collected in visible light using a mobile phone's camera and presents results of experiments involving existing commercial and ope…
Iris and periocular recognition in arabian race horses using deep convolutional neural networks
Mateusz Trokielewicz, Mateusz Szadkowski
This paper presents a study devoted to recognizing horses by means of their iris and periocular features using deep convolutional neural networks (DCNNs). Identification of race ho…
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For…
Cataract influence on iris recognition performance
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents the experimental study revealing weaker performance of the automatic iris recognition methods for cataract-affected eyes when compared to healthy eyes. There is…