|
10:30
|
ADVANCE TUTORIAL: Learning theory for quantum machines
-
Hsin-Yuan Huang
(Google Quantum AI, MIT)
Zoe Holmes
(EPFL)
(500/1-001 - Main Auditorium)
|
|
10:30
|
BASIC TUTORIAL for Beginner (Part I)
-Dr
Michele Grossi
(CERN)
Elisa Bäumer
(until 13:15)
(61/1-009 - Room C)
|
|
|
08:45
|
OPENING
- Dr
Michele Grossi
(CERN)
Alberto Di Meglio
(CERN)
|
|
09:00
|
KEYNOTE: A General Message Belief Propagation Framework for Quantum Computations
- Prof.
Max Welling
(University of Amsterdam)
|
|
10:00
|
INVITED TALK: Better than classical? The subtle art of benchmarking quantum models
- Dr
Nathan Killoran
(Xanadu)
|
|
10:45
|
--- Coffe break ---
|
|
11:15
|
Quantum Learning and Quantum Advantage
-Prof.
Minh Ha Quang
(RIKEN Center for Advanced Intelligence Project)
(until 13:15)
|
|
11:15
|
On quantum backpropagation, information reuse, and cheating measurement collapse
-
Amira Abbas
(University of Amsterdam/QuSoft)
|
|
12:00
|
Classical Verification of Quantum Learning
-
Marcel Hinsche
(Freie Universität Berlin)
|
|
12:30
|
Learning bounds and guarantees for testing (quantum) hypotheses
-
Evan Peters
(University of Waterloo/Perimeter)
|
|
12:45
|
Exponential separations between classical and quantum learners
-
Casper GYURIK
(Leiden)
|
|
13:00
|
Classical simulations of noisy variational quantum circuits
-
Enrico Fontana
(University of Strathclyde)
|
|
|
09:00
|
Architectures for QML 1
-
Oriel Orphee Moira Kiss
(Universite de Geneve (CH))
(until 10:45)
|
|
09:00
|
Time-series quantum reservoir computing with weak and projective measurements
-
Pere Mujal
(ICFO)
|
|
09:15
|
Let Quantum Neural Networks Choose Their Own Frequencies
-
Ben Jadeberg
(PASQAL)
|
|
09:30
|
Extending Graph Transformers with Quantum Computed Aggregation
-
Slimane Thabet
(PASQAL - Sorbonne University)
|
|
09:45
|
Hierarchical quantum circuit representations for neural architecture search
-
Matt Lourens
(Stellenbosch University)
|
|
10:00
|
QResNet: a variational entanglement skipping algorithm
-
Giulio Crognaletti
(University of Trieste)
|
|
10:15
|
A General Approach for Dropout in Quantum Neural Networks
-
Francesco Scala
(Università degli Studi di Pavia)
|
|
10:30
|
Applying Genetic Algorithms to Optimize the Generalization Ability of Variational Quantum Circuits
-
Darya Martyniuk
(Freie Universitaet Berlin, Fraunhofer Gesellschaft)
|
|
10:45
|
--- Coffe break ---
|
|
11:15
|
INVITED TALK: A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits
- Dr
Marco Cerezo
(Los Alamos National Laboratory)
|
|
|
09:00
|
Quantum Learning and Shadows
-
Tobias Haug
(TII)
(until 10:45)
|
|
09:00
|
Shadows of quantum machine learning
-
Sofiene Jerbi
(Freie Universität Berlin)
|
|
09:30
|
Post-Variational Quantum Neural Networks
-
Po-wei Huang
(Centre for Quantum Technologies)
|
|
09:45
|
Neural–Shadow Quantum State Tomography
-
Pooya Ronagh
(University of Waterloo & 1QBit)
|
|
10:15
|
Efficient information recovery from Pauli noise via classical shadow
-
Yifei Chen
(Institute for Quantum Computing, Baidu)
|
|
10:30
|
Learning t-doped stabiliser states
-
Aliosha Hamma
(Università di Napoli Federico II)
|
|
10:45
|
--- Coffee break ---
|
|
11:15
|
INVITED TALK:
- Prof.
Natalia Ares
(University of Oxford)
|
|
|
09:00
|
Quantum Algorithms
-Mr
Massimiliano Incudini
(University of Verona)
(until 10:45)
|
|
09:00
|
Quadratic Speedup in Quantum Zero-Sum Games via Single-Call Mirror-Prox Matrix Methods
-
Francisca Vasconcelos
|
|
09:30
|
Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits
-
Alessandro Luongo
(Centre for Quantum Technologies)
|
|
10:00
|
Quantum Distance Calculation for ε-Graph Construction
-
Naomi Mona CHMIELEWSKI
(EDF Lab)
|
|
10:15
|
Gibbs Sampling of Periodic Potentials on a Quantum Computer
-
Pooya Ronagh
(University of Waterloo & 1QBit)
|
|
10:45
|
--- Coffee Break ---
|
|
11:15
|
INVITED TALK: Topics in quantum topological data analysis
-
Vedran Dunjko
(Leiden University)
|
|
|
09:00
|
INVITED TALK: The signal and the noise: learning with random quantum circuits and other agents of chaos
- Dr
Yihui QUEK
(Harvard University)
|
|
09:30
|
Gradients and Landscape Theory
-
Amira Abbas
(University of Amsterdam/QuSoft)
(until 10:45)
|
|
09:30
|
Analyzing variational quantum landscapes with information content
-
Adrian Perez Salinas
(Lorentz Institute - Leiden University)
|
|
09:45
|
The landscape of QAOA Max-Cut Lie algebras
-
Martin Larocca
(Los Alamos National Lab)
|
|
10:00
|
Training robust quantum classifiers based on Lipschitz bounds
-
Julian Berberich
(University of Stuttgart)
|
|
10:30
|
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
-
Koki Chinzei
(Fujitsu Limited)
|
|
10:45
|
Logistics updates
|
|
10:50
|
--- Coffee Break ---
|
|
11:15
|
INVITED TALK: Approximate Autonomous Quantum Error Correction with Reinforcement Learning
- Dr
Clemens Gneiting
(Riken)
|
|
|
13:15
|
--- LUNCH Restaurant 1 ---
|
|
14:45
|
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 18:00)
|
|
14:45
|
Contribution
-
Sevag Gharibian
|
|
14:45
|
BASIC TUTORIAL for Beginner (Part I)
-
Elisa Bäumer
(until 18:00)
(61/1-009 - Room C)
|
|
|
13:15
|
--- LUNCH ---
|
|
14:45
|
Quantum Models and Data
-
Diego Garcia-Martin
(Los Alamos National Laboratory)
(until 16:00)
|
|
14:45
|
Non-IID Quantum Federated Learning with One-shot Communication Complexity
-
haimeng Zhao
(Tsinghua University)
|
|
15:00
|
Quantum models and data through a precomputation lens
-
Jarrod Mclean
(Google Quantum AI)
|
|
15:30
|
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
-
Xinbiaong Wha
(Wuhan University)
|
|
16:00
|
Generalisation
-Dr
Diego Garcia-Martin
(Los Alamos National Laboratory)
(until 17:30)
|
|
16:00
|
Transition role of entangled data in quantum machine learning
-
Xinbiaong Wha
(Wuhan University)
|
|
16:30
|
The power and limitations of learning quantum dynamics incoherently
-
Sofiene Jerbi
(Freie Universität Berlin)
|
|
17:00
|
Understanding generalization with quantum geometry
-
Tobias Haug
(TII)
|
|
17:15
|
Understanding quantum machine learning also requires rethinking generalization
-
Elies Gil-Fuster
(reie Universität Berlin, Fraunhofer HHI Berlin)
|
|
17:30
|
WELCOME: CERN SCIENCE GATEWAY
(until 19:00)
|
|
|
12:00
|
Symmetry and Geometric QML
-Dr
Supanut Thanasilp
(EPFL)
(until 13:15)
|
|
12:00
|
Equivariant Quantum Models
-
Martina Larocca
(Los Alamos National Laboratory)
|
|
12:15
|
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images
-
Su Yeon Chang
(EPFL - Ecole Polytechnique Federale Lausanne (CH))
|
|
12:30
|
Symmetry-invariant quantum machine learning force fields
-
Isabel Nha Minh LE
(IBM Research Europe - Zurich and Technical University of Munich)
|
|
13:00
|
Homogenous space expressibility of parametrized quantum circuits
-
Rahul Arvind
(Institute for High Performance Computing, A*STAR)
|
|
13:15
|
--- LUNCH ---
|
|
14:45
|
Trainability of Quantum Architectures
-Dr
Martina Larocca
(Los Alamos National Laboratory)
(until 17:00)
|
|
14:45
|
Trainability barriers and opportunities in quantum generative modeling
-
Manuel Rudolph
(EPFL)
|
|
15:15
|
On the Sample Complexity of Quantum Boltzmann Machine Learning
-
Luuk Coopmans
(Quantinuum)
|
|
15:45
|
On the Absence of Barren Plateaus in Quantum Generative Adversarial Networks
- Dr
Christa Zoufal
(IBM Quantum Europe)
|
|
16:15
|
Deep quantum neural networks form Gaussian processes
-
Diego Garcia-Martin
(Los Alamos National Laboratory)
|
|
16:45
|
Here comes the SU(N) multivariate quantum gates and gradients
-
Roeland WIERSEMA
(University of Waterloo & Vector Institute)
|
|
17:00
|
Poster Session
|
|
|
12:00
|
Machine Learning for Quantum Science
-Prof.
Antonio Mandarino
(ICTQT - University of Gdansk)
(until 13:15)
|
|
12:00
|
Machine learning continuously monitored systems: estimating parameters
-
Matias Bilkis
(Computer Vision Center)
|
|
12:15
|
Deep Learning of Quantum Correlations for Quantum Parameter Estimation of Continuously Monitored Systems
-
Enrico Rinaldi
(Quantinuum K. K.)
|
|
12:30
|
Channel tomography for quantum noise characterization and mitigation
-
Simone Roncallo
(Università degli studi di Pavia)
|
|
12:45
|
Explainable Representation Learning of Small Quantum States
-
Felix Frohnert
(Leiden University)
|
|
13:15
|
--- LUNCH ---
|
|
14:45
|
Experimental Implementations
-Dr
Francesco Tacchino
(IBM Quantum)
(until 15:45)
|
|
14:45
|
Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor
-
Slimane Thabet
(PASQAL - Sorbonne University)
|
|
15:15
|
Variational quantum algorithms implemented on a general-purpose single-photon-based quantum computing platform
-
Alexia salavrakos
(Quandela)
|
|
15:45
|
Architecture for QML 3
-Dr
Francesco Tacchino
(IBM Quantum)
(until 17:00)
|
|
15:45
|
Variational Quantum Time Evolution without the Quantum Geometric Tensor
-
Julien Gacon
(IBM EPFL)
|
|
16:00
|
Quantum Similarity Testing with Convolutional Neural Networks
-
Yan Zhu
(The University of Hong Kong)
|
|
16:15
|
Dimension reduction in quantum stochastic modelling
-
Chengran Yang
(Centre for Quantum Technologies, National University of Singapore)
|
|
16:30
|
Quantum Fourier Networks for Solving Parametric PDEs
-
Natansh Mathur
Jonas Landman
(University of Edinburgh / QC Ware)
|
|
17:00
|
INDUSTRY SESSION
-Dr
Michele Grossi
(CERN)
(until 18:45)
|
|
17:00
|
ESA
-
Bertrand Le Saux
(European Space Agency)
|
|
17:15
|
Google
-
Jarrod McClean
(Google AI Quantum)
|
|
17:30
|
IBM
-
Christa Zoufal
(IBM Quantum Europe)
|
|
17:45
|
INTEL
-
Gian Giacomo Guerreschi
(Intel)
|
|
18:00
|
IONQ
-
Masako Yamada
|
|
18:15
|
NASA
-
Davide Venturelli
(NASA)
|
|
18:30
|
PASQAL
- Dr
Panagiotis Barkoutsos
(PASQAL)
|
|
18:45
|
Walk to Restaurant 2
|
|
19:00
|
Social Dinner
(until 22:30)
|
|
|
12:00
|
Quantum Kernels
-Dr
Christa Zoufal
(IBM Quantum Europe)
(until 13:15)
|
|
12:00
|
A Topological Features Based Quantum Kernel
- Mr
Massimiliano Incudini
(University of Verona)
|
|
12:15
|
Expressivity and Generalization Ability of Trace-induced Quantum Kernels
-
Beng Yee Gan
(Centre for Quantum Technologies)
|
|
12:45
|
A Multi-Class Quantum Kernel-Based Classifier
-
Shivani Pillay
(University of KwaZulu Natal)
|
|
13:00
|
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
-
Tak Hur
(Yonsei University)
|
|
13:15
|
--- LUNCH ---
|
|
14:45
|
INVITED TALK: Accelerating Discovery in Particle Physics with AI
-
Jennifer Ngadiuba
(FNAL)
|
|
15:30
|
QML for Physics
-Dr
Sofia Vallecorsa
(CERN)
(until 17:00)
|
|
15:30
|
Quantum anomaly detection in the latent space of proton collision events at the LHC
-
Vasilis Belis
(ETH Zurich (CH))
|
|
15:45
|
Quantum data learning for quantum simulations in high-energy physics
- Dr
Lento Nagano
(University of Tokyo (JP))
|
|
16:00
|
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
-
Jinzhao Sun
(Imperial college)
|
|
16:15
|
Detection of quantum phase transitions with quantum machine learning techniques
-
Antonio Mandarino
(ICTQT - University of Gdansk)
|
|
16:30
|
Simulating dynamics of large quantum systems on small quantum devices using circuit knitting
-
Gian Gentinetta
(EPFL)
|
|
16:45
|
Complete quantum-inspired framework for simulations of flows past immersed bodies
-
Egor Tiunov
(Technology Innovation Institute, Abu Dhabi)
|
|
17:00
|
Poster Session
|
|
|
12:00
|
Reinforcement Learning and Robust Learning
-
Sofiene Jerbi
(Freie Universität Berlin)
(until 13:02)
|
|
12:00
|
Quantum adaptive agents with efficient long-term memories
-
Thomas Elliott
(University of Manchester)
|
|
12:30
|
Talk cancelled: Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
-
Friederike Metz
(EPFL)
|
|
12:31
|
Quantum machine learning with enhanced adversarial robustness
-
Maxwell West
(The University of Melbourne)
|
|
12:47
|
Quantum algorithm for robust optimization via stochastic-gradient online learning
-
Debbie Huey Chih LIM
(University of Latvia)
|
|
13:05
|
--- Lunch ---
|
|
14:30
|
Quantum Monte Carlo
-Prof.
David Windridge
(Middlesex University, London, UK)
(until 15:15)
|
|
14:30
|
Quantum Computing Quantum Monte Carlo
-
Jinzhao Sun
(Imperial college)
|
|
15:00
|
Quantum Metropolis-Hastings algorithm with the target distribution calculated by quantum Monte Carlo integration
-
Koichi Miyamoto
(Osaka University)
|
|
15:15
|
Quantum Optimization
-Prof.
David Windridge
(Middlesex University, London, UK)
(until 15:45)
|
|
15:15
|
Quantum optimization of Binary Neural Networks
-
Pietro Torta
(SISSA)
|
|
15:30
|
Performance Analysis and Comparative Study of Quantum Approximate Optimization Algorithm Variants
-
Kostas Blekos
(University of Patras)
|
|
15:45
|
Quantum Reservoir Computing
-Prof.
David Windridge
(Middlesex University, London, UK)
(until 16:15)
|
|
15:45
|
Hybrid quantum-classical reservoir computing for solving chaotic systems
-
Filip Wudraski
(USRA)
|
|
16:00
|
Next Generation Quantum Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics
-
Chotibut Thiparat
(Chulalongkorn University)
|
|
16:15
|
Closing words
|
|
