Quantum Techniques in Machine Learning (QTML conference 2023)

from Sunday, November 19, 2023 (10:30 AM) to Friday, November 24, 2023 (5:00 PM)
CERN (500/1-001)

        : Sessions
    /     : Talks
        : Breaks
Nov 19, 2023
Nov 20, 2023
Nov 21, 2023
Nov 22, 2023
Nov 23, 2023
Nov 24, 2023
AM
10:30 AM ADVANCE TUTORIAL: Learning theory for quantum machines - Hsin-Yuan Huang (Google Quantum AI, MIT) Zoe Holmes (EPFL)   (500/1-001 - Main Auditorium)
10:30 AM
BASIC TUTORIAL for Beginner (Part I) -Dr Michele Grossi (CERN) Elisa Bäumer (until 1:15 PM) (61/1-009 - Room C)
8:45 AM OPENING - Dr Michele Grossi (CERN) Alberto Di Meglio (CERN)   (500/1-001 - Main Auditorium)
9:00 AM KEYNOTE: A General Message Belief Propagation Framework for Quantum Computations - Prof. Max Welling (University of Amsterdam)   (500/1-001 - Main Auditorium)
10:00 AM INVITED TALK: Better than classical? The subtle art of benchmarking quantum models - Dr Nathan Killoran (Xanadu)   (500/1-001 - Main Auditorium)
10:45 AM --- Coffe break ---
11:15 AM
Quantum Learning and Quantum Advantage -Prof. Minh Ha Quang (RIKEN Center for Advanced Intelligence Project) (until 1:15 PM) (500/1-001 - Main Auditorium)
11:15 AM On quantum backpropagation, information reuse, and cheating measurement collapse - Amira Abbas (University of Amsterdam/QuSoft)   (500/1-001 - Main Auditorium)
12:00 PM Classical Verification of Quantum Learning - Marcel Hinsche (Freie Universität Berlin)   (500/1-001 - Main Auditorium)
12:30 PM Learning bounds and guarantees for testing (quantum) hypotheses - Evan Peters (University of Waterloo/Perimeter)   (500/1-001 - Main Auditorium)
12:45 PM Exponential separations between classical and quantum learners - Casper GYURIK (Leiden)   (500/1-001 - Main Auditorium)
1:00 PM Classical simulations of noisy variational quantum circuits - Enrico Fontana (University of Strathclyde)   (500/1-001 - Main Auditorium)
9:00 AM
Architectures for QML 1 - Oriel Orphee Moira Kiss (Universite de Geneve (CH)) (until 10:45 AM) (500/1-001 - Main Auditorium)
9:00 AM Time-series quantum reservoir computing with weak and projective measurements - Pere Mujal (ICFO)   (500/1-001 - Main Auditorium)
9:15 AM Let Quantum Neural Networks Choose Their Own Frequencies - Ben Jadeberg (PASQAL)   (500/1-001 - Main Auditorium)
9:30 AM Extending Graph Transformers with Quantum Computed Aggregation - Slimane Thabet (PASQAL - Sorbonne University)   (500/1-001 - Main Auditorium)
9:45 AM Hierarchical quantum circuit representations for neural architecture search - Matt Lourens (Stellenbosch University)   (500/1-001 - Main Auditorium)
10:00 AM QResNet: a variational entanglement skipping algorithm - Giulio Crognaletti (University of Trieste)   (500/1-001 - Main Auditorium)
10:15 AM A General Approach for Dropout in Quantum Neural Networks - Francesco Scala (Università degli Studi di Pavia)   (500/1-001 - Main Auditorium)
10:30 AM Applying Genetic Algorithms to Optimize the Generalization Ability of Variational Quantum Circuits - Darya Martyniuk (Freie Universitaet Berlin, Fraunhofer Gesellschaft)   (500/1-001 - Main Auditorium)
10:45 AM --- Coffe break ---
11:15 AM INVITED TALK: A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits - Dr Marco Cerezo (Los Alamos National Laboratory)   (500/1-001 - Main Auditorium)
9:00 AM
Quantum Learning and Shadows - Tobias Haug (TII) (until 10:45 AM) (500/1-001 - Main Auditorium)
9:00 AM Shadows of quantum machine learning - Sofiene Jerbi (Freie Universität Berlin)   (500/1-001 - Main Auditorium)
9:30 AM Post-Variational Quantum Neural Networks - Po-wei Huang (Centre for Quantum Technologies)   (500/1-001 - Main Auditorium)
9:45 AM Neural–Shadow Quantum State Tomography - Pooya Ronagh (University of Waterloo & 1QBit)   (500/1-001 - Main Auditorium)
10:15 AM Efficient information recovery from Pauli noise via classical shadow - Yifei Chen (Institute for Quantum Computing, Baidu)   (500/1-001 - Main Auditorium)
10:30 AM Learning t-doped stabiliser states - Aliosha Hamma (Università di Napoli Federico II)   (500/1-001 - Main Auditorium)
10:45 AM --- Coffee break ---
11:15 AM INVITED TALK: - Prof. Natalia Ares (University of Oxford)   (500/1-001 - Main Auditorium)
9:00 AM
Quantum Algorithms -Mr Massimiliano Incudini (University of Verona) (until 10:45 AM) (500/1-001 - Main Auditorium)
9:00 AM Quadratic Speedup in Quantum Zero-Sum Games via Single-Call Mirror-Prox Matrix Methods - Francisca Vasconcelos   (500/1-001 - Main Auditorium)
9:30 AM Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits - Alessandro Luongo (Centre for Quantum Technologies)   (500/1-001 - Main Auditorium)
10:00 AM Quantum Distance Calculation for ε-Graph Construction - Naomi Mona CHMIELEWSKI (EDF Lab)   (500/1-001 - Main Auditorium)
10:15 AM Gibbs Sampling of Periodic Potentials on a Quantum Computer - Pooya Ronagh (University of Waterloo & 1QBit)   (500/1-001 - Main Auditorium)
10:45 AM --- Coffee Break ---
11:15 AM INVITED TALK: Topics in quantum topological data analysis - Vedran Dunjko (Leiden University)   (500/1-001 - Main Auditorium)
9:00 AM INVITED TALK: The signal and the noise: learning with random quantum circuits and other agents of chaos - Dr Yihui QUEK (Harvard University)   (500/1-001 - Main Auditorium)
9:30 AM
Gradients and Landscape Theory - Amira Abbas (University of Amsterdam/QuSoft) (until 10:45 AM) (500/1-001 - Main Auditorium)
9:30 AM Analyzing variational quantum landscapes with information content - Adrian Perez Salinas (Lorentz Institute - Leiden University)   (500/1-001 - Main Auditorium)
9:45 AM The landscape of QAOA Max-Cut Lie algebras - Martin Larocca (Los Alamos National Lab)   (500/1-001 - Main Auditorium)
10:00 AM Training robust quantum classifiers based on Lipschitz bounds - Julian Berberich (University of Stuttgart)   (500/1-001 - Main Auditorium)
10:30 AM Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data - Koki Chinzei (Fujitsu Limited)   (500/1-001 - Main Auditorium)
10:45 AM Logistics updates   (500/1-001 - Main Auditorium)
10:50 AM --- Coffee Break ---
11:15 AM INVITED TALK: Approximate Autonomous Quantum Error Correction with Reinforcement Learning - Dr Clemens Gneiting (Riken)   (500/1-001 - Main Auditorium)
PM
1:15 PM --- LUNCH Restaurant 1 ---
2:45 PM
ADVANCE TUTORIAL: Quantum algorithms – what’s quantum complexity theory got to do with it? -Prof. Alessandra Di Pierro (University of Verona) Prof. Sevag Gharibian (until 6:00 PM) (500/1-001 - Main Auditorium)
2:45 PM Contribution - Sevag Gharibian   (500/1-001 - Main Auditorium)
2:45 PM
BASIC TUTORIAL for Beginner (Part I) - Elisa Bäumer (until 6:00 PM) (61/1-009 - Room C)
1:15 PM --- LUNCH ---
2:45 PM
Quantum Models and Data - Diego Garcia-Martin (Los Alamos National Laboratory) (until 4:00 PM) (500/1-001 - Main Auditorium)
2:45 PM Non-IID Quantum Federated Learning with One-shot Communication Complexity - haimeng Zhao (Tsinghua University)   (500/1-001 - Main Auditorium)
3:00 PM Quantum models and data through a precomputation lens - Jarrod Mclean (Google Quantum AI)   (500/1-001 - Main Auditorium)
3:30 PM Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification - Xinbiaong Wha (Wuhan University)   (500/1-001 - Main Auditorium)
4:00 PM
Generalisation -Dr Diego Garcia-Martin (Los Alamos National Laboratory) (until 5:30 PM) (500/1-001 - Main Auditorium)
4:00 PM Transition role of entangled data in quantum machine learning - Xinbiaong Wha (Wuhan University)   (500/1-001 - Main Auditorium)
4:30 PM The power and limitations of learning quantum dynamics incoherently - Sofiene Jerbi (Freie Universität Berlin)   (500/1-001 - Main Auditorium)
5:00 PM Understanding generalization with quantum geometry - Tobias Haug (TII)   (500/1-001 - Main Auditorium)
5:15 PM Understanding quantum machine learning also requires rethinking generalization - Elies Gil-Fuster (reie Universität Berlin, Fraunhofer HHI Berlin)   (500/1-001 - Main Auditorium)
5:30 PM
WELCOME: CERN SCIENCE GATEWAY (until 7:00 PM) ()
12:00 PM
Symmetry and Geometric QML -Dr Supanut Thanasilp (EPFL) (until 1:15 PM) (500/1-001 - Main Auditorium)
12:00 PM Equivariant Quantum Models - Martina Larocca (Los Alamos National Laboratory)   (500/1-001 - Main Auditorium)
12:15 PM Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images - Su Yeon Chang (EPFL - Ecole Polytechnique Federale Lausanne (CH))   (500/1-001 - Main Auditorium)
12:30 PM Symmetry-invariant quantum machine learning force fields - Isabel Nha Minh LE (IBM Research Europe - Zurich and Technical University of Munich)   (500/1-001 - Main Auditorium)
1:00 PM Homogenous space expressibility of parametrized quantum circuits - Rahul Arvind (Institute for High Performance Computing, A*STAR)   (500/1-001 - Main Auditorium)
1:15 PM --- LUNCH ---
2:45 PM
Trainability of Quantum Architectures -Dr Martina Larocca (Los Alamos National Laboratory) (until 5:00 PM) (500/1-001 - Main Auditorium)
2:45 PM Trainability barriers and opportunities in quantum generative modeling - Manuel Rudolph (EPFL)   (500/1-001 - Main Auditorium)
3:15 PM On the Sample Complexity of Quantum Boltzmann Machine Learning - Luuk Coopmans (Quantinuum)   (500/1-001 - Main Auditorium)
3:45 PM On the Absence of Barren Plateaus in Quantum Generative Adversarial Networks - Dr Christa Zoufal (IBM Quantum Europe)   (500/1-001 - Main Auditorium)
4:15 PM Deep quantum neural networks form Gaussian processes - Diego Garcia-Martin (Los Alamos National Laboratory)   (500/1-001 - Main Auditorium)
4:45 PM Here comes the SU(N) multivariate quantum gates and gradients - Roeland WIERSEMA (University of Waterloo & Vector Institute)   (500/1-001 - Main Auditorium)
5:00 PM Poster Session   ()
12:00 PM
Machine Learning for Quantum Science -Prof. Antonio Mandarino (ICTQT - University of Gdansk) (until 1:15 PM) (500/1-001 - Main Auditorium)
12:00 PM Machine learning continuously monitored systems: estimating parameters - Matias Bilkis (Computer Vision Center)   (500/1-001 - Main Auditorium)
12:15 PM Deep Learning of Quantum Correlations for Quantum Parameter Estimation of Continuously Monitored Systems - Enrico Rinaldi (Quantinuum K. K.)   (500/1-001 - Main Auditorium)
12:30 PM Channel tomography for quantum noise characterization and mitigation - Simone Roncallo (Università degli studi di Pavia)   (500/1-001 - Main Auditorium)
12:45 PM Explainable Representation Learning of Small Quantum States - Felix Frohnert (Leiden University)   (500/1-001 - Main Auditorium)
1:15 PM --- LUNCH ---
2:45 PM
Experimental Implementations -Dr Francesco Tacchino (IBM Quantum) (until 3:45 PM) (500/1-001 - Main Auditorium)
2:45 PM Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor - Slimane Thabet (PASQAL - Sorbonne University)   (500/1-001 - Main Auditorium)
3:15 PM Variational quantum algorithms implemented on a general-purpose single-photon-based quantum computing platform - Alexia salavrakos (Quandela)   (500/1-001 - Main Auditorium)
3:45 PM
Architecture for QML 3 -Dr Francesco Tacchino (IBM Quantum) (until 5:00 PM) (500/1-001 - Main Auditorium)
3:45 PM Variational Quantum Time Evolution without the Quantum Geometric Tensor - Julien Gacon (IBM EPFL)   (500/1-001 - Main Auditorium)
4:00 PM Quantum Similarity Testing with Convolutional Neural Networks - Yan Zhu (The University of Hong Kong)   (500/1-001 - Main Auditorium)
4:15 PM Dimension reduction in quantum stochastic modelling - Chengran Yang (Centre for Quantum Technologies, National University of Singapore)   (500/1-001 - Main Auditorium)
4:30 PM Quantum Fourier Networks for Solving Parametric PDEs - Natansh Mathur Jonas Landman (University of Edinburgh / QC Ware)   (500/1-001 - Main Auditorium)
5:00 PM
INDUSTRY SESSION -Dr Michele Grossi (CERN) (until 6:45 PM) (500/1-001 - Main Auditorium)
5:00 PM ESA - Bertrand Le Saux (European Space Agency)   (500/1-001 - Main Auditorium)
5:15 PM Google - Jarrod McClean (Google AI Quantum)   (500/1-001 - Main Auditorium)
5:30 PM IBM - Christa Zoufal (IBM Quantum Europe)   (500/1-001 - Main Auditorium)
5:45 PM INTEL - Gian Giacomo Guerreschi (Intel)   (500/1-001 - Main Auditorium)
6:00 PM IONQ - Masako Yamada   (500/1-001 - Main Auditorium)
6:15 PM NASA - Davide Venturelli (NASA)   (500/1-001 - Main Auditorium)
6:30 PM PASQAL - Dr Panagiotis Barkoutsos (PASQAL)   (500/1-001 - Main Auditorium)
6:45 PM Walk to Restaurant 2   (500/1-001 - Main Auditorium)
7:00 PM
Social Dinner (until 10:30 PM) (504)
12:00 PM
Quantum Kernels -Dr Christa Zoufal (IBM Quantum Europe) (until 1:15 PM) (500/1-001 - Main Auditorium)
12:00 PM A Topological Features Based Quantum Kernel - Mr Massimiliano Incudini (University of Verona)   (500/1-001 - Main Auditorium)
12:15 PM Expressivity and Generalization Ability of Trace-induced Quantum Kernels - Beng Yee Gan (Centre for Quantum Technologies)   (500/1-001 - Main Auditorium)
12:45 PM A Multi-Class Quantum Kernel-Based Classifier - Shivani Pillay (University of KwaZulu Natal)   (500/1-001 - Main Auditorium)
1:00 PM Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning - Tak Hur (Yonsei University)   (500/1-001 - Main Auditorium)
1:15 PM --- LUNCH ---
2:45 PM INVITED TALK: Accelerating Discovery in Particle Physics with AI - Jennifer Ngadiuba (FNAL)   (500/1-001 - Main Auditorium)
3:30 PM
QML for Physics -Dr Sofia Vallecorsa (CERN) (until 5:00 PM) (500/1-001 - Main Auditorium)
3:30 PM Quantum anomaly detection in the latent space of proton collision events at the LHC - Vasilis Belis (ETH Zurich (CH))   (500/1-001 - Main Auditorium)
3:45 PM Quantum data learning for quantum simulations in high-energy physics - Dr Lento Nagano (University of Tokyo (JP))   (500/1-001 - Main Auditorium)
4:00 PM Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding - Jinzhao Sun (Imperial college)   (500/1-001 - Main Auditorium)
4:15 PM Detection of quantum phase transitions with quantum machine learning techniques - Antonio Mandarino (ICTQT - University of Gdansk)   (500/1-001 - Main Auditorium)
4:30 PM Simulating dynamics of large quantum systems on small quantum devices using circuit knitting - Gian Gentinetta (EPFL)   (500/1-001 - Main Auditorium)
4:45 PM Complete quantum-inspired framework for simulations of flows past immersed bodies - Egor Tiunov (Technology Innovation Institute, Abu Dhabi)   (500/1-001 - Main Auditorium)
5:00 PM Poster Session   ()
12:00 PM
Reinforcement Learning and Robust Learning - Sofiene Jerbi (Freie Universität Berlin) (until 1:02 PM) (500/1-001 - Main Auditorium)
12:00 PM Quantum adaptive agents with efficient long-term memories - Thomas Elliott (University of Manchester)   (500/1-001 - Main Auditorium)
12:30 PM Talk cancelled: Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks - Friederike Metz (EPFL)   (500/1-001 - Main Auditorium)
12:31 PM Quantum machine learning with enhanced adversarial robustness - Maxwell West (The University of Melbourne)   (500/1-001 - Main Auditorium)
12:47 PM Quantum algorithm for robust optimization via stochastic-gradient online learning - Debbie Huey Chih LIM (University of Latvia)   (500/1-001 - Main Auditorium)
1:05 PM --- Lunch ---
2:30 PM
Quantum Monte Carlo -Prof. David Windridge (Middlesex University, London, UK) (until 3:15 PM) (500/1-001 - Main Auditorium)
2:30 PM Quantum Computing Quantum Monte Carlo - Jinzhao Sun (Imperial college)   (500/1-001 - Main Auditorium)
3:00 PM Quantum Metropolis-Hastings algorithm with the target distribution calculated by quantum Monte Carlo integration - Koichi Miyamoto (Osaka University)   (500/1-001 - Main Auditorium)
3:15 PM
Quantum Optimization -Prof. David Windridge (Middlesex University, London, UK) (until 3:45 PM) (500/1-001 - Main Auditorium)
3:15 PM Quantum optimization of Binary Neural Networks - Pietro Torta (SISSA)   (500/1-001 - Main Auditorium)
3:30 PM Performance Analysis and Comparative Study of Quantum Approximate Optimization Algorithm Variants - Kostas Blekos (University of Patras)   (500/1-001 - Main Auditorium)
3:45 PM
Quantum Reservoir Computing -Prof. David Windridge (Middlesex University, London, UK) (until 4:15 PM) (500/1-001 - Main Auditorium)
3:45 PM Hybrid quantum-classical reservoir computing for solving chaotic systems - Filip Wudraski (USRA)   (500/1-001 - Main Auditorium)
4:00 PM Next Generation Quantum Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics - Chotibut Thiparat (Chulalongkorn University)   (500/1-001 - Main Auditorium)
4:15 PM Closing words   (500/1-001 - Main Auditorium)