{"id":869,"date":"2025-09-08T14:43:56","date_gmt":"2025-09-08T06:43:56","guid":{"rendered":"https:\/\/qtml2025.cqt.sg\/?page_id=869"},"modified":"2025-11-14T15:20:07","modified_gmt":"2025-11-14T07:20:07","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/qtml2025.cqt.sg\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"869\" class=\"elementor elementor-869\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a03989 e-con-full e-flex e-con e-parent\" data-id=\"1a03989\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-13ab188 e-flex e-con-boxed e-con e-child\" data-id=\"13ab188\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4fdf64b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4fdf64b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Accepted Papers<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-299e403 e-flex e-con-boxed e-con e-parent\" data-id=\"299e403\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6430294 elementor-widget elementor-widget-spacer\" data-id=\"6430294\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-652a80b e-flex e-con-boxed e-con e-parent\" data-id=\"652a80b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7ef1048 elementor-widget elementor-widget-heading\" data-id=\"7ef1048\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Accepted Papers Preparation Instructions<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dfeec57 elementor-widget elementor-widget-text-editor\" data-id=\"dfeec57\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<style>\n .extra-space {\n     margin-left: 50px;\n}\n<\/style>\n<ul>\n \t<li>Submitted talks will generally take 15 minutes, except from highlighted <p>submitted talks, which will take 20 minutes.<\/li>\n<\/ul>\n<ul>\n \t<li>Please make sure your slides are available on the venue&#8217;s laptop on the morning <p>of the day of your talk.<\/li>\n<\/ul>\n<ul>\n \t<li>If you are a first-time presenter, you will find many guides online that help you <p>prepare an impactful talk. A few important things to keep mind are:<\/li>\n \t<li class=\"extra-space\">Spend a lot of time on introducing and contextualizing your problem. <p>Most people overestimate the knowledge of their audience.<\/li>\n \t<li class=\"extra-space\">Limit jargon and equations to situations where you really need them.<\/li>\n \t<li class=\"extra-space\">Focus on the main finding of your work (this often hurts because there <p>are so many interesting things to share).<\/li>\n \t<li class=\"extra-space\">Prepare a talk for 10 minutes (you will likely use up 15 minutes).<\/li>\n \t<li class=\"extra-space\">Practice your talk, even if it feels silly.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-038d95e e-flex e-con-boxed e-con e-parent\" data-id=\"038d95e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a1357c elementor-widget elementor-widget-spacer\" data-id=\"4a1357c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-34d968c9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"34d968c9\" data-element_type=\"section\" data-e-type=\"section\" id=\"topics\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5a2dff3e\" data-id=\"5a2dff3e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-663ade94 animated-slow elementor-widget__width-initial elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"663ade94\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Accepted Papers<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-cba3ab9 e-flex e-con-boxed e-con e-parent\" data-id=\"cba3ab9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b8ad07 elementor-widget elementor-widget-spacer\" data-id=\"7b8ad07\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a1b3a19 e-flex e-con-boxed e-con e-parent\" data-id=\"a1b3a19\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a8581e elementor-widget elementor-widget-html\" data-id=\"3a8581e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<html>\r\n<head>\r\n<style>\r\ntable, th, td {\r\n  border: 3px solid black;\r\n  border-collapse: collapse;\r\n}\r\n<\/style>\r\n<\/head>\r\n<body>\r\n\r\n\r\n<table style=\"width:100%\">\r\n  <tr>\r\n    <th style=\"background-color: #1F1B55;text-align: left;color: white;\">Authors<\/th>\r\n    <th style=\"background-color: #1F1B55;text-align: left;color: white;\">Title<\/th> \r\n    <th style=\"background-color: #1F1B55;text-align: left;color: white;\">Category<\/th>\r\n  <\/tr>\r\n  <tr>\r\n    <td style=\"color: black;font-size: 14px;\">Andris Ambainis, Joao F. Doriguello and Debbie Huey Chih Lim<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms for Online Learning of MDPs under a Generative Model<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Highlight Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td style=\"color: black;font-size: 14px;\">\r\nStephen Jordan, Noah Shutty, Mary Wootters, Adam Zalcman, Alexander Schmidhuber, Robbie King, Sergei Isakov, Tanuj Khattar and Ryan Babbush<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Decoded Quantum Interferometry<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Highlight Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td style=\"color: black;font-size: 14px;\">\r\nArjan Cornelissen, Joao F. Doriguello, Alessandro Luongo and Ewin Tang<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Do you know what q-means?<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Highlight Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n   <td style=\"color: black;font-size: 14px;\">\r\nCasper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko and Ryu Hayakawa<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum computing and persistence in TDA<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Highlight Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td style=\"color: black;font-size: 14px;\">Martin Larocca, Maxwell West, Marco Cerezo, Frederic Sauvage, Roy Forestano, Nathan Killoran and David Wierichs<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nA good basis allows for classical shadows with arbitrary group representations<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n   <td style=\"color: black;font-size: 14px;\">Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>A PAC-Bayesian approach to generalization for quantum models<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td style=\"color: black;font-size: 14px;\">\r\nEric Anschuetz<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nA Unified Theory of Quantum Neural Network Loss Landscapes<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n  <td style=\"color: black;font-size: 14px;\">Hela Mhiri, Ricard Puig, Manuel Rudolph, Sacha Lerch, Thiparat Chotibut, Supanut Thanasilp and Zoe Holmes<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nA unifying account of warm start guarantees for patches of quantum landscape<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n<td style=\"color: black;font-size: 14px;\">Akitada Sakurai, Aoi Hayashi, William Munro and Kae Nemoto<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>An efficient approach to realize Quantum Random Features<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nNatansh Mathur, Brian Coyle, Nishant Jain, Snehal Raj, Akshat Tandon, Jasper Krauser and Rainer Stoessel<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n  <td style=\"color: black;font-size: 14px;\">\r\nFrederic Sauvage, Pranav Kalidindi, Frederic Rapp and Martin Larocca<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Designing quantum machine learning models for graphss<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n  <td style=\"color: black;font-size: 14px;\">Yuxuan Du, Min-Hsiu Hsieh and Dacheng Tao<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Efficient learning for linear properties of bounded-gate quantum circuits<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nSacha Lerch, Ricard Puig, Manuel Rudolph, Armando Angrisani, Tyson Jones, Supanut Thanasilp, Marco Cerezo and Zoe Holmes<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Efficient quantum-enhanced classical simulation for patches of quantum landscapes<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nMelvin Strobl, Emre Sahin, Lucas van der Horst, Eileen Kuehn, Achim Streit and Ben Jaderberg<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Fourier Fingerprints of Ansatzes in Quantum Machine Learning<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n  <td style=\"color: black;font-size: 14px;\">\r\nJohn Kallaugher and Daniel Liang<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nHamiltonian Locality Testing via Trotterized Postselection<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nMatthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner and Ryan Sweke<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Interactive proofs for verifying (quantum) learning and testing<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nAlice Barthe, Jens Eisert, Bryce Fuller, Elies Gil-Fuster, Michele Grossi, Zo\u00eb Holmes, Sofi\u00e8ne Jerbi, Johannes Jakob Meyer, Erik Recio-Armengol, Mehrad Sahebi, Seongwook Shin, Yudai Suzuki and Ryan Sweke<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>Kernel-based Dequantization of Quantum Machine Learning<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr>\r\n  <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nJosep Lumbreras, Mikhail Terekhov and Marco Tomamichel<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nLearning pure quantum states (almost) without regret<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n <td style=\"color: black;font-size: 14px;\">\r\nYixian Qiu, Lirand\u00eb Pira and Patrick Rebentrost<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nLearning Quantum States with Tunable Loss Functions<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nVishnu Iyer<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nMildly-Interacting Fermionic Unitaries are Efficiently Learnable<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nAdri\u00e1n P\u00e9rez-Salinas, Patrick Emonts, Jordi Tura Brugu\u00e9s and Vedran Dunjko<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nMultiple-basis representation of quantum states<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nDhrumil Patel and Mark Wilde<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nNatural gradient and parameter estimation for quantum Boltzmann machines<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nZihao Li, Changhao Yi, You Zhou and Huangjun Zhu<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nNearly query-optimal classical shadow estimation of unitary channels<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nSayantan Pramanik, Chaitanya Murti, Chiranjib Bhattacharyya and M Girish Chandra<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nOn the Cost of Training Adversarially-Robust Quantum Models<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr><\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nJonathan Allcock, Miklos Santha, Pei Yuan and Shengyu Zhang<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nOn the dynamical Lie algebras of quantum approximate optimization algorithms<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr><\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nManuel Rudolph, Armando Angrisani, Tyson Jones, Yanting Teng, Alexander Schmidhuber, Antonio Anna Mele, Marco Cerezo, Hsin-Yuang Huang and Zoe Holmes<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nPauli Propagation: A computational framework for simulating quantum systems<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nL\u00e9o Monbroussou, Beatrice Polacchi, Verena Yacoub, Eliott Z. Mamon, Hugo Thomas, Eugenio Caruccio, Giovanni Rodari, Francesco Hoch, Gonzalo Carvacho, Nicolo Spagnolo, Taira Giordani, Mattia Bossi, Abhiram Rajan, Niki Di Giano, Riccardo Albiero, Francesco Ceccarelli, Roberto Osellame, Ulysse Chabaud, Fabio Sciarrino and Elham Kashefi<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nPolynomial Speed-Up in Photonic Neural Networks via Adaptive State Injection<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr><\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nWilliam J. Huggins, Tanuj Khattar and Nathan Wiebe<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nProductionizing Quantum Mass Production<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nCaesnan Leditto, Angus Southwell, Behnam Tonekaboni, Muhammad Usman and Kavan Modi<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum HodgeRank: Topology-Based Rank Aggregation on Quantum Computers<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nNicholas Rubin, Guanghao Low, Robbie King, Eugene DePrince, Alec White, Ryan Babbush, Dominic Berry and Rolando Somma<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum simulation with sum-of-squares spectral amplification<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nAlexander Schmidhuber, Ryan O'Donnell, Robin Kothari and Ryan Babbush<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuartic quantum speedups for planted inference<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <\/tr><tr>\r\n      <\/tr><tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nEvan Peters<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nSample importance in data-driven decoding<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nChangwon Lee, Tak Hur and Daniel Kyungdeock Park<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nScalable Neural Decoders for Practical Real-Time Quantum Error Correction<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nHugo Thomas, Pierre-Emmanuel Emeriau and Ulysse Chabaud<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nShedding light on classical shadows<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nXiufan Li, Soumik Adhikary and Patrick Rebentrost<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nStoCQS: stochastic strategy for Ansatz tree construction in Krylov-based linear solver<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nAndr\u00e9 Ferreira-Martins, Renato M. S. Farias, Giancarlo Camilo, Thiago O. Maciel, Allan Tosta, Ruge Lin, Abdulla Alhajri, Tobias Haug and Leandro Aolitak<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nVariational quantum algorithms with exact geodesic transport<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n      <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMatteo Antonio Inajetovic, Petros Wallden and Anna Pappa<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nVerifiable End-to-End Delegated Variational Quantum Algorithms<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nArthur Rattew, Po-Wei Huang, Naixu Guo, Lirand\u00eb Pira and Patrick Rebentrost<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nAccelerating Inference for Multilayer Convolutional Neural Networks with Quantum Computers<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nQing Liu, Zihao Li, Xiao Yuan, Huangjun Zhu and You Zhou<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nAuxiliary-Free Replica Shadows: Efficient Estimation of Multiple Nonlinear Quantum Properties<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nRichard East, Quanlong Wang, Razin Shaikh, Lia Yeh, Boldizs\u00e1r Po\u00f3r and Bob Coecke<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nBeyond Penrose tensor diagrams with the ZX-calculus: Applications to quantum computing, QML, condensed matter physics, and quantum gravity<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nAiden Rosebush, Alexander Greenwood and Li Qian<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nMachine Learning Derived Entanglement Witnesses with Trainable Measurements<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nPaolo Braccia, N. L. Diaz, Martin Larocca, M. Cerezo and Diego Garc\u00eda-Mart\u00edne<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nOptimal Haar random fermionic linear optics circuits<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n             <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nAlice Barthe, Mahtab Yaghubi, Michele Grossi and Vedran Dunjko<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum Advantage in Learning Quantum Dynamics<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n             <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMaximilian Fr\u00f6hlich<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum Circuit simulation with a local time-dependent variational principle<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n             <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMingrui Jing, Erdong Huang, Xiao Shi, Shengyu Zhang and Xin Wang<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum Recurrent Embedding Neural Network<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n             <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nJosep Lumbreras, Ruo Cheng Huang, Yanglin Hu, Mile Gu and Marco Tomamichel<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum state-agnostic work extraction (almost) without dissipation<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n             <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nNana Liu, Michele Minverini, Dhrumil Patel and Mark Wilde<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nQuantum thermodynamics, semidefinite optimization, and quantum Boltzmann machines<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMarco Ballarin, Juan Jos\u00e9 Garc\u00eda-Ripoll, David Hayes and Michael Lubasch<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nScalable, hardware-efficient and noise-aware multivariate quantum state preparation<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMatthias C. Caro, Preksha Naik and Joseph Slote<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nTesting classical properties from quantum data<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nMarcel Hinsche, Jens Eisert and Jose Carrasco<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nThe abelian state hidden subgroup problem: Learning stabilizer groups and beyond<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nDaniel Liang and Vishnu Iyer<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nTolerant Testing of Stabilizer States with Mixed State Inputs<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n       <tr>\r\n<td style=\"color: black;font-size: 14px;\">\r\nYuxuan Yan, Muzhou Ma, You Zhou and Xiongfeng Ma<\/td>\r\n    <td style=\"color: black;font-size: 14px;\"><b>\r\nVariational LOCC-assisted quantum circuits for long-range entangled states<\/td>\r\n    <td style=\"color: black;font-size: 14px;\">Late Accepted Talk<\/td>\r\n  <\/tr><tr>\r\n<\/table>\r\n\r\n<\/body>\r\n<\/html>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-39aaae2 e-flex e-con-boxed e-con e-parent\" data-id=\"39aaae2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8646a3e elementor-widget elementor-widget-spacer\" data-id=\"8646a3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div 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data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.quantinuum.com\/\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"56\" src=\"https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/10\/Quantinuum-Logo__horizontal-black-300x56.png\" class=\"attachment-medium size-medium wp-image-1511\" alt=\"\" srcset=\"https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/10\/Quantinuum-Logo__horizontal-black-300x56.png 300w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/10\/Quantinuum-Logo__horizontal-black-768x143.png 768w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/10\/Quantinuum-Logo__horizontal-black.png 851w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4e98f0 elementor-widget elementor-widget-image\" data-id=\"d4e98f0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.xanadu.ai\/\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"77\" src=\"https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-300x77.png\" class=\"attachment-medium size-medium wp-image-1186\" alt=\"\" srcset=\"https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-300x77.png 300w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-1024x262.png 1024w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-768x196.png 768w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-1536x393.png 1536w, https:\/\/qtml2025.cqt.sg\/wp-content\/uploads\/2025\/09\/Xanadu-Logo-Landscape-3-2048x523.png 2048w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Accepted Papers Accepted Papers Preparation Instructions Submitted talks will generally take 15 minutes, except from highlighted submitted talks, which will [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":506,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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