Media Summary: Speaker: Matthias Caro Abstract: In this tutorial, we will explore how techniques from property Speaker: Kouhei Nakaji Abstract: The convergence of artificial intelligence (AI) and Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ...

Qtml 2025 Testing And Verification For Quantum Learning - Detailed Analysis & Overview

Speaker: Matthias Caro Abstract: In this tutorial, we will explore how techniques from property Speaker: Kouhei Nakaji Abstract: The convergence of artificial intelligence (AI) and Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of Authors: Aiden Rosebush, Alexander Greenwood and Li Qian Abstract: We propose a machine Speaker: Joseph Bowles Abstract: I will show how Fourier analysis can be used to construct

Authors: Melvin Strobl, Emre Sahin, Lucas van der Horst, Eileen Kuehn, Achim Streit and Ben Jaderberg Abstract: The training of ... Authors: Sayantan Pramanik, Chaitanya Murti, Chiranjib Bhattacharyya and M Girish Chandra Abstract: In this paper, we Authors: Natansh Mathur, Brian Coyle, Nishant Jain, Snehal Raj, Akshat Tandon, Jasper Krauser and Rainer Stoessel Abstract: ... Authors: Mingrui Jing, Erdong Huang, Xiao Shi, Shengyu Zhang and Xin Wang Abstract: Authors: Nicholas Rubin, Guanghao Low, Robbie King, Eugene DePrince, Alec White, Ryan Babbush, Dominic Berry and ... Authors: William J. Huggins, Tanuj Khattar and Nathan Wiebe Abstract: For many practical applications of

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QTML 2025: Testing and Verification for Quantum Learning
QTML 2025: Quantum Generative Modeling Beyond the NISQ Era
QTML 2025: AI for Quantum: Toward AI-Enhanced Quantum Computing Applications
QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models
QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations
QTML 2025: A Universal Script for Machine Learning Derived Entanglement Witnesses
QTML 2025: Scalable quantum machine learning models in Fourier space
QTML 2025: Fourier Fingerprints of Ansatzes in Quantum Machine Learning
QTML 2025: On The Cost Of Training (Adversarially-Robust) Quantum Models
QTML 2025: Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
QTML 2025: Quantum Recurrent Embedding Neural Network
QTML 2025:  Quantum Simulation By Sum Of Squares Spectral Amplification
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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

QTML 2025: Quantum Generative Modeling Beyond the NISQ Era

QTML 2025: Quantum Generative Modeling Beyond the NISQ Era

Speaker: Michele Grossi Abstract:

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: 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: 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

Sponsored
QTML 2025: A Universal Script for Machine Learning Derived Entanglement Witnesses

QTML 2025: A Universal Script for Machine Learning Derived Entanglement Witnesses

Authors: Aiden Rosebush, Alexander Greenwood and Li Qian Abstract: We propose a machine

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: Fourier Fingerprints of Ansatzes in Quantum Machine Learning

QTML 2025: Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Authors: Melvin Strobl, Emre Sahin, Lucas van der Horst, Eileen Kuehn, Achim Streit and Ben Jaderberg Abstract: The training of ...

QTML 2025: On The Cost Of Training (Adversarially-Robust) Quantum Models

QTML 2025: On The Cost Of Training (Adversarially-Robust) Quantum Models

Authors: Sayantan Pramanik, Chaitanya Murti, Chiranjib Bhattacharyya and M Girish Chandra Abstract: In this paper, we

QTML 2025: Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection

QTML 2025: Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection

Authors: Natansh Mathur, Brian Coyle, Nishant Jain, Snehal Raj, Akshat Tandon, Jasper Krauser and Rainer Stoessel Abstract: ...

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:  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: Productionizing Quantum Mass Production

QTML 2025: Productionizing Quantum Mass Production

Authors: William J. Huggins, Tanuj Khattar and Nathan Wiebe Abstract: For many practical applications of