Media Summary: Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract: Authors: Adrián Pérez-Salinas, Patrick Emonts, Jordi Tura Brugués and Vedran Dunjko Abstract: Classical simulation of Authors: Sacha Lerch, Ricard Puig, Manuel Rudolph, Armando Angrisani, Tyson Jones, Supanut Thanasilp, Marco Cerezo and ...

Qtml 2025 Efficient Quantum State - Detailed Analysis & Overview

Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract: Authors: Adrián Pérez-Salinas, Patrick Emonts, Jordi Tura Brugués and Vedran Dunjko Abstract: Classical simulation of Authors: Sacha Lerch, Ricard Puig, Manuel Rudolph, Armando Angrisani, Tyson Jones, Supanut Thanasilp, Marco Cerezo and ... Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Authors: Nicholas Rubin, Guanghao Low, Robbie King, Eugene DePrince, Alec White, Ryan Babbush, Dominic Berry and ... Authors: Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner and Ryan Sweke Abstract: We ...

Speaker: Joseph Bowles Abstract: I will show how Fourier analysis can be used to construct Authors: Nana Liu, Michele Minverini, Dhrumil Patel and Mark Wilde Abstract: In Speaker: Zane Rossi Abstract: Methods in the design and analysis of Authors: Jonathan Allcock, Miklos Santha, Pei Yuan and Shengyu Zhang Abstract: Dynamical Lie algebras (DLAs) have emerged ... Authors: Aiden Rosebush, Alexander Greenwood and Li Qian Abstract: We propose a machine learning based approach to ... Speaker: Seth Lloyd Abstract: When a physical system gets information from the outside world, processes that information, and ...

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QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks
QTML 2025: Multiple-Basis Representation Of Quantum States
QTML 2025: Efficient quantum-enhanced classical simulation for patches of quantum landscapes
QTML 2025: Quantum Generative Modeling Beyond the NISQ Era
QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models
QTML 2025:  Quantum Simulation By Sum Of Squares Spectral Amplification
QTML 2025: Interactive proofs for verifying (quantum) learning and testing
QTML 2025: Scalable quantum machine learning models in Fourier space
QTML 2025: Quantum thermodynamics and semi-definite optimization
QTML 2025: Modern techniques in quantum algorithms
QTML 2025: On the dynamical Lie algebras of quantum approximate optimization algorithms
QTML 2025: A Universal Script for Machine Learning Derived Entanglement Witnesses
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QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks

QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks

Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract:

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 simulation of

QTML 2025: Efficient quantum-enhanced classical simulation for patches of quantum landscapes

QTML 2025: Efficient quantum-enhanced classical simulation for patches of quantum landscapes

Authors: Sacha Lerch, Ricard Puig, Manuel Rudolph, Armando Angrisani, Tyson Jones, Supanut Thanasilp, Marco Cerezo and ...

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 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:  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: Interactive proofs for verifying (quantum) learning and testing

QTML 2025: Interactive proofs for verifying (quantum) learning and testing

Authors: Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner and Ryan Sweke Abstract: We ...

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 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: Modern techniques in quantum algorithms

QTML 2025: Modern techniques in quantum algorithms

Speaker: Zane Rossi Abstract: Methods in the design and analysis of

QTML 2025: On the dynamical Lie algebras of quantum approximate optimization algorithms

QTML 2025: On the dynamical Lie algebras of quantum approximate optimization algorithms

Authors: Jonathan Allcock, Miklos Santha, Pei Yuan and Shengyu Zhang Abstract: Dynamical Lie algebras (DLAs) have emerged ...

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 learning based approach to ...

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 ...