Media Summary: Authors: Andris Ambainis, Joao F. Doriguello and Debbie Huey Chih Lim Abstract: We propose novel classical and Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Speaker: Kouhei Nakaji Abstract: The convergence of artificial intelligence (AI) and

Qtml 2025 Quantum Generative Modeling - Detailed Analysis & Overview

Authors: Andris Ambainis, Joao F. Doriguello and Debbie Huey Chih Lim Abstract: We propose novel classical and Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Speaker: Kouhei Nakaji Abstract: The convergence of artificial intelligence (AI) and Speaker: Seth Lloyd Abstract: When a physical system gets information from the outside world, processes that information, and ... Authors: Nicholas Rubin, Guanghao Low, Robbie King, Eugene DePrince, Alec White, Ryan Babbush, Dominic Berry and ... Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of

Speaker: Joseph Bowles Abstract: I will show how Fourier analysis can be used to construct Authors: Mingrui Jing, Erdong Huang, Xiao Shi, Shengyu Zhang and Xin Wang Abstract: Speaker: Matthias Caro Abstract: In this tutorial, we will explore how techniques from property testing and interactive proofs can be ... Authors: Adrián Pérez-Salinas, Patrick Emonts, Jordi Tura Brugués and Vedran Dunjko Abstract: Classical Authors: Nana Liu, Michele Minverini, Dhrumil Patel and Mark Wilde Abstract: In Authors: Stephen Jordan, Noah Shutty, Mary Wootters, Adam Zalcman, Alexander Schmidhuber, Robbie King, Sergei Isakov, ...

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QTML 2025: Quantum Generative Modeling Beyond the NISQ Era
QTML 2025: A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms
QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models
QTML 2025: AI for Quantum: Toward AI-Enhanced Quantum Computing Applications
QTML 2025: Quantum world models for a quantum world
QTML 2025:  Quantum Simulation By Sum Of Squares Spectral Amplification
QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations
QTML 2025: Scalable quantum machine learning models in Fourier space
QTML 2025: Quantum Recurrent Embedding Neural Network
QTML 2025: Testing and Verification for Quantum Learning
QTML 2025: Multiple-Basis Representation Of Quantum States
QTML 2025: Quantum thermodynamics and semi-definite optimization
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QTML 2025: Quantum Generative Modeling Beyond the NISQ Era

QTML 2025: Quantum Generative Modeling Beyond the NISQ Era

Speaker: Michele Grossi Abstract:

QTML 2025: A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms

QTML 2025: A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms

Authors: Andris Ambainis, Joao F. Doriguello and Debbie Huey Chih Lim Abstract: We propose novel classical and

QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ...

QTML 2025: AI for Quantum: Toward AI-Enhanced Quantum Computing Applications

QTML 2025: AI for Quantum: Toward AI-Enhanced Quantum Computing Applications

Speaker: Kouhei Nakaji Abstract: The convergence of artificial intelligence (AI) and

QTML 2025: Quantum world models for a quantum world

QTML 2025: Quantum world models for a quantum world

Speaker: Seth Lloyd Abstract: When a physical system gets information from the outside world, processes that information, and ...

QTML 2025:  Quantum Simulation By Sum Of Squares Spectral Amplification

QTML 2025: Quantum Simulation By Sum Of Squares Spectral Amplification

Authors: Nicholas Rubin, Guanghao Low, Robbie King, Eugene DePrince, Alec White, Ryan Babbush, Dominic Berry and ...

QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations

QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations

Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of

QTML 2025: Scalable quantum machine learning models in Fourier space

QTML 2025: Scalable quantum machine learning models in Fourier space

Speaker: Joseph Bowles Abstract: I will show how Fourier analysis can be used to construct

QTML 2025: Quantum Recurrent Embedding Neural Network

QTML 2025: Quantum Recurrent Embedding Neural Network

Authors: Mingrui Jing, Erdong Huang, Xiao Shi, Shengyu Zhang and Xin Wang Abstract:

QTML 2025: Testing and Verification for Quantum Learning

QTML 2025: Testing and Verification for Quantum Learning

Speaker: Matthias Caro Abstract: In this tutorial, we will explore how techniques from property testing and interactive proofs can be ...

QTML 2025: Multiple-Basis Representation Of Quantum States

QTML 2025: Multiple-Basis Representation Of Quantum States

Authors: Adrián Pérez-Salinas, Patrick Emonts, Jordi Tura Brugués and Vedran Dunjko Abstract: Classical

QTML 2025: Quantum thermodynamics and semi-definite optimization

QTML 2025: Quantum thermodynamics and semi-definite optimization

Authors: Nana Liu, Michele Minverini, Dhrumil Patel and Mark Wilde Abstract: In

QTML 2025: Decoded Quantum Interferometry

QTML 2025: Decoded Quantum Interferometry

Authors: Stephen Jordan, Noah Shutty, Mary Wootters, Adam Zalcman, Alexander Schmidhuber, Robbie King, Sergei Isakov, ...