69 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR7 papers
- Laboratoire de Recherche en InformatiqueFR6 papers
- CentraleSupélecFR5 papers
- Université Paris-SaclayFR5 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR4 papers
- École PolytechniqueFR3 papers
- Laboratoire Interdisciplinaire de PhysiqueFR3 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR3 papers
- Laboratoire Méthodes FormellesFR3 papers
- Argonne National LaboratoryUS2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Électricité de France (France)FR2 papers
39 papers
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
Eloi Lindas, Yannig Goude, Philippe Ciais
In a growing renewable based energy system, accurate and reliable wind power forecasts are crucial for grid stability, balancing supply and demand and market risk management. Even…
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Eloi Lindas, Yannig Goude, Philippe Ciais
Accurate prediction of non-dispatchable renewable energy sources is essential for grid stability and price prediction. Regional power supply forecasts are usually indirect through…
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler +1
Re-Identification systems (Re-ID) are crucial for public safety but face the challenge of having to adapt to environments that differ from their training distribution. Furthermore,…
CROSSCON: Cross-platform Open Security Stack for Connected Devices
Bruno Crispo, Marco Roveri, Sandro Pinto +8
The proliferation of Internet of Things (IoT) embedded devices is expected to reach 30 billion by 2030, creating a dynamic landscape where diverse devices must coexist. This presen…
Optimal Hadamard gate count for Clifford synthesis of Pauli rotations sequences
Vivien Vandaele, Simon Martiel, Simon Perdrix +1
The Clifford gate set is commonly used to perform universal quantum computation. In such setup the gate is typically much more expensive to implement in a fault-tolerant wa…
A graph-state based synthesis framework for Clifford isometries
Timothée Goubault de Brugière, Simon Martiel, Christophe Vuillot
We tackle the problem of Clifford isometry compilation, i.e, how to synthesize a Clifford isometry into an executable quantum circuit. We propose a simple framework for synthesis t…
Node-Type-Based Load-Balancing Routing for Parallel Generalized Fat-Trees
John Gliksberg, Jean-Noel Quintin, Pedro Javier Garcia
High-Performance Computing (HPC) clusters are made up of a variety of node types (usually compute, I/O, service, and GPGPU nodes) and applications don't use nodes of a different ty…
High-Quality Fault-Resiliency in Fat-Tree Networks (Extended Abstract)
John Gliksberg, Antoine Capra, Alexandre Louvet +2
Coupling regular topologies with optimized routing algorithms is key in pushing the performance of interconnection networks of HPC systems. In this paper we present Dmodc, a fast d…
QuDiet: A Classical Simulation Platform for Qubit-Qudit Hybrid Quantum Systems
Turbasu Chatterjee, Arnav Das, Subhayu Kumar Bala +3
In the recent years, numerous research advancements have extended the limit of classical simulation of quantum algorithms. Although, most of the state-of-the-art classical simulato…
A density-matrix renormalization group algorithm for simulating quantum circuits with a finite fidelity
Thomas Ayral, Thibaud Louvet, Yiqing Zhou +3
We develop a density-matrix renormalization group (DMRG) algorithm for the simulation of quantum circuits. This algorithm can be seen as the extension of time-dependent DMRG from t…
FFCNN: Fast FPGA based Acceleration for Convolution neural network inference
F. Keddous, H-N. Nguyen, A. Nakib
We present a new efficient OpenCL-based Accelerator for large scale Convolutional Neural Networks called Fast Inference on FPGAs for Convolution Neural Network (FFCNN). FFCNN is ba…
Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry
Mohammad Haidar, Marko J. Rančić, Thomas Ayral +2
Quantum Chemistry (QC) is one of the most promising applications of Quantum Computing. However, present quantum processing units (QPUs) are still subject to large errors. Therefore…
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence
Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…
Gaussian Elimination versus Greedy Methods for the Synthesis of Linear Reversible Circuits
Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron +2
Linear reversible circuits represent a subclass of reversible circuits with many applications in quantum computing. These circuits can be efficiently simulated by classical compute…
Decoding techniques applied to the compilation of CNOT circuits for NISQ architectures
Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron +2
Current proposals for quantum compilers require the synthesis and optimization of linear reversible circuits and among them CNOT circuits. Since these circuits represent a signific…
Reducing the Depth of Linear Reversible Quantum Circuits
Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron +2
In quantum computing the decoherence time of the qubits determines the computation time available and this time is very limited when using current hardware. In this paper we minimi…
Qurzon: A Prototype for a Divide and Conquer Based Quantum Compiler
Turbasu Chatterjee, Arnav Das, Shah Ishmam Mohtashim +2
When working with algorithms on quantum devices, quantum memory becomes a crucial bottleneck due to low qubit count in NISQ-era devices. In this context, the concept of `divide and…
Unraveling correlated material properties with noisy quantum computers: Natural orbitalized variational quantum eigensolving of extended impurity models within a slave-boson approach
Pauline Besserve, Thomas Ayral
We propose a method for computing space-resolved correlation properties of the two-dimensional Hubbard model within a quantum-classical embedding strategy that uses a Noisy, Interm…
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
Alfred Laugros, Alice Caplier, Matthieu Ospici
Synthetic corruptions gathered into a benchmark are frequently used to measure neural network robustness to distribution shifts. However, robustness to synthetic corruption benchma…
Phase polynomials synthesis algorithms for NISQ architectures and beyond
Vivien Vandaele, Simon Martiel, Timothée Goubault de Brugière
We present a framework for the synthesis of phase polynomials that addresses both cases of full connectivity and partial connectivity for NISQ architectures. In most cases, our alg…
Latent Space Data Assimilation by using Deep Learning
Mathis Peyron, Anthony Fillion, Selime Gürol +4
Performing Data Assimilation (DA) at a low cost is of prime concern in Earth system modeling, particularly at the time of big data where huge quantities of observations are availab…
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
Oliver Adams, Benjamin Galliot, Guillaume Wisniewski +11
This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a web front-end originally designed to provide access to the Kaldi automatic speech rec…
Quantum Divide and Compute: Exploring The Effect of Different Noise Sources
Thomas Ayral, François-Marie Le Régent, Zain Saleem +2
Our recent work (Ayral et al., 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)) showed the first implementation of the Quantum Divide and Compute (QDC) method, which a…
Benchmarking quantum co-processors in an application-centric, hardware-agnostic and scalable way
Simon Martiel, Thomas Ayral, Cyril Allouche
Existing protocols for benchmarking current quantum co-processors fail to meet the usual standards for assessing the performance of High-Performance-Computing platforms. After a sy…