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QTML 2024 Conference

24–29 Nov 2024
University of Melbourne
Australia/Melbourne timezone

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Session

Posters

26 Nov 2024, 16:00
Carrillo Gantner Theatre (University of Melbourne)

Carrillo Gantner Theatre

University of Melbourne

Sidney Myer Asia Centre, Swanston St, University of Melbourne VIC 3010, Australia

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There are no materials yet.
227. 2D and 3D Representation Learning on Gate-based Quantum Computers
Dr Vladislav Golyanik (MPI for Informatics)
Quantum variational circuits
Poster

This abstract is based on a work in progress that introduces a new type of neural field for visual computing with components compatible with gate-based quantum hardware or simulators. We propose a Quantum Neural Field Network (QNF-Net) expecting as input a query coordinate (of different dimensionality depending on the problem) and, optionally, a latent variable value. It outputs the...
66. A Hybrid Classical-Quantum Fined Tuned BERT for Text Classification
Quantum machine learning algorithms
Poster
83. A Hybrid Quantum Neural Network for Split Learning
Hevish Cowlessur (University of Melbourne)
Quantum machine learning algorithms
Poster
98. A new approach for the QERC based on AE
Chaimae El Bouazizi (Okinawa Institute of Science and Technology)
Data encoding and processing in quantum systems
Poster
136. A quantum ensemble method for quantum binary classifiers
Emiliano Tolotti (University of Trento)
Quantum machine learning algorithms
Poster
93. A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
Dean Brand (Stellenbosch University)
Quantum machine learning algorithms
Poster
30. Accelerated variational quantum eigensolver with joint Bell measurement
Chenfeng Cao (Hong Kong University of Science and Technology)
Quantum variational circuits
Poster
287. Accelerating physical systems with Imagination Models
Arindam Saha (PhD)
Other
Late Poster
76. Adiabatic and Evolutionary Algorithms for training Variational Quantum Algorithms
Ernesto Acosta Martín (Dpt Computer Science and AI. University of Granada. Spain)
Quantum variational circuits
Poster
108. Advantages of quantum support vector machine in cross-domain classification of quantum states
Vivek Balasaheb Sabale (Indian Institute of Technology Jodhpur)
Quantum machine learning algorithms
Poster
145. Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
Petros Georgiou (University of Birmingham)
Quantum learning theory
Poster
299. Algorithms for quantum causal discovery
Jasleen Kaur (Macquarie University)
Other
Late Poster
224. Alz-QNet: A Quantum Regression Network for Studying Alzheimer’s Gene Interactions
Neerav Sreekumar (Indian Institute of Technology, Tirupati)
Quantum machine learning algorithms
Poster
298. An Algorithmic Framework for Local Approximations of Parametrized Quantum Circuits via RKHS Methods
Lars Simon (Bundesdruckerei GmbH)
Other
Late Poster
61. An error-mitigated photonic quantum circuit Born machine
Alexia Salavrakos (Quandela, 7 Rue Léonard de Vinci, 91300 Massy, France)
Quantum variational circuits
Poster
24. An inductive bias from quantum mechanics: learning order effects with non-commuting measurements
Kaitlin Gili (Tufts University)
Quantum machine learning algorithms
Poster
81. Analyzing Ranking Data on Higher-Order Networks Using Quantum Computers
Caesnan Leditto (Monash University)
Data encoding and processing in quantum systems
Poster
346. Application of Tensor Networks for Rapid Protein-Protein Docking
Junho Lee (Sungkyunkwan University)
Quantum-inspired machine learning
Late Poster
173. Approximated Quantum Spectral Clustering With Weighted Kernel PCA Method Based on Geometric Quantum Neural Network
Hyeong-Gyu Kim (Korea Advanced Institute of Science and Technology)
Quantum machine learning algorithms
Poster
31. Architectural patterns in NISQ-era quantum-enhanced AI systems
Mykhailo Klymenko (Dara61 CSIRO)
Quantum methods for machine learning tasks
Poster
237. Are Quantum Convolutional Neural Networks Actually Useful? Likely not!
Pablo Bermejo (Los Alamos National Laboratory)
Dequantization and classical simulation methods in QML
Poster
344. Asynchronous and Freshness Quantum Federated Learning in Heterogeneous Networks
Dr James Hoang (CSIRO Data61)
Quantum methods for machine learning tasks
Late Poster
254. Automatic Dimensionality Reduction for Quantum Classifiers
Vasilis Belis (ETH Zurich)
Quantum methods for machine learning tasks
Poster
239. Benchmarking Quantum Boltzmann Machines on physical Gibbs states
Enrico Rinaldi (Quantinuum)
Benchmarking quantum machine learning
Poster
141. Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jian Feng Kong (Institute of High Performance Computing, A*STAR)
Benchmarking quantum machine learning
Poster
134. Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice
Benchmarking quantum machine learning
Poster
148. Bootstrapping Classical Shadows for Neural Quantum State Tomography
Dr Bohdan Kulchytskyy (1QB Information Technologies, Inc.)
Quantum state reconstruction from data and tomography
Poster
221. Calibrating the role of entanglement in variational quantum circuits
Chris Nakhl (The University of Melbourne)
Benchmarking quantum machine learning
Poster
183. Challenges and Opportunities in Simple Quantum Generative Tasks
NIKOLAOS PALAIODIMOPOULOS (University of Kaiserslautern-Landau (RPTU))
Quantum variational circuits
Poster
353. Classical and Quantum Memory Characterisation of Process using Neural Networks
Abhinash Roy (Macquarie University)
Data encoding and processing in quantum systems
Late Poster
293. Classification of Quantum Correlations via Quantum inspired Machine Learning
Giuseppe Sergioli (University of Cagliari)
Other
Late Poster

In the rapidly developing field of information science,
accurately classifying quantum states is one
of the most important tasks to advance our understanding
and practical applications of quantum
technologies. Our work presents the PGM classifier,
a novel quantum-inspired classification algorithm
designed to address the complex problem of
quantum state discrimination. Unlike classical...
86. Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li (University of Melbourne)
Quantum machine learning algorithms
Poster
69. Contextual and Quantum Recurrent Models for Sequence Learning
Behnam Tonekaboni (Infleqtion Australia)
Quantum machine learning algorithms
Poster
197. Continuous-variable quantum computing and neural networks using the motional modes of trapped ions
Alexandre Cesar Ricardo (Federal University of São Carlos)
Quantum variational circuits
Poster
195. Data as a Consumable Resource
Dar Gilboa (Google)
Data encoding and processing in quantum systems
Poster
25. Data Clustering as a Quantum Computing Use-Case
Prof. Gerhard Hellstern (Cooperative State University of Baden-Württemberg)
Learning and optimisation
Poster
284. Deakin‘s Quantum ML Research: Quantum Federated Learning with Simple Data Encoding and Aggregation
Shiva Raj Pokhrel (Deakin University)
Other
Late Poster
7. Demonstration of quantum projective simulation on a single-photon-based quantum computer
Giacomo Franceschetto (ICFO - The Institute of Photonic Sciences)
Quantum machine learning algorithms
Poster
347. Designing Quantum Optimisation Algorithms with QuOp_MPI.
Edric Matwiejew (Pawsey Supercomputing Centre)
Learning and optimisation
Late Poster
290. Detecting and Classifying Tripartite Entanglement using Neural Networks
Arvind Arvind (Indian Institute of Science Education and Research Mohali)
Other
Late Poster
240. Detecting and Protecting Against Crosstalk With Reinforcement Learning
Bahar Goldozian
Machine learning for quantum experiments
Poster
96. Detecting Underdetermination in Parametrized Quantum Circuits
Marie Kempkes (Leiden University / Volkswagen AG)
Other
Poster
22. Development of a Novel Quantum Pre-processing Filter to Improve Image Classification
Farina Riaz (CSIRO)
Quantum variational circuits
Poster
87. Dimension reduction in quantum sampling of stochastic processes
Chengran Yang (School of Physical and MatheNanyang Quantum Hub, Nanyang Technological University)
Data encoding and processing in quantum systems
Poster
32. Discovering quantum phases of vortex matter with classical machine learning
Tapio Simula
Machine learning for quantum experiments
Poster
41. Dual frame optimization for informationally complete quantum measurements
Francesco Tacchino (IBM Quantum, IBM Research Europe - Zurich)
Quantum state reconstruction from data and tomography
Poster
343. Dual-rail encoding with phononic network in trapped ion system
Minhyeok Kang (Sungkyunkwan university)
Other
Late Poster
271. Efficient computation of the Gram matrix of eigenvectors for quantum kernel methods
Abhijeet Alase (University of Sydney)
Quantum methods for machine learning tasks
Poster
99. Efficient Learning for Bounded-gate Quantum Circuits with Incoherent Measurements
Yuxuan Du (Nanyang Technological University), Prof. Min-Hsiu Hsieh (Foxconn)
Quantum learning theory
Poster
300. Efficient Quantum Expectations Estimation via Hybrid Pauli Decomposition
dingjie lu (IHPC, Agency for Science, Technology and Research, Singapore)
Other
Late Poster
211. Efficient quantum recurrent reinforcement learning via quantum reservoir computing
Samuel Yen-Chi Chen (Wells Fargo)
Quantum variational circuits
Poster
50. Efficient Reinforcement Learning via Quantum Reward Encoding
Outongyi Lv (Shanghai Jiao Tong University), Yewei Yuan (Shanghai Jiao Tong University)
Quantum machine learning algorithms
Poster
101. Efficient VQE by Conditional Reinforcement Learning
DongHa Kim
Quantum variational circuits
Poster
85. Enforcing exact permutation and rotational symmetries in the application of quantum neural network on point cloud datasets
Zhelun Li (ICEPP, the university of Tokyo)
Quantum machine learning algorithms
Poster
194. Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization
Dr Leonardo Lavagna ((University of Rome "La Sapienza", Italy))
Quantum variational circuits
Poster
301. Enhancing the Efficiency of Credit Risk Classification Modeling using Quantum Machine Learning for sturdy decision making in Finance
Parvathy Gopakumar (Indian Institute of Information Technology Kottayam)
Quantum methods for machine learning tasks
Late Poster
217. Ensemble-learning error mitigation for variational quantum algorithms
Abolfazl Bayat (University of Electronic Science and Technology of China, Chengdu, China)
Quantum variational circuits
Poster
170. Entanglement Detection as a Positive and Unlabeled Learning Problem
Taisei Nohara (Hokkaido University)
Machine learning for quantum experiments
Poster
147. Entanglement-based attention for transformers
Poojith Umesh Rao (University van Amsterdam)
Quantum methods for machine learning tasks
Poster
56. Equivariant Quantum Neural Networks: Leveraging Data Symmetry for Enhanced Learning
Lázaro Raúl Diaz Lievano (Benemérita Universidad Autónoma de Puebla)
Quantum machine learning algorithms
Poster
116. Evaluation of derivatives using approximate generalized parameter shift rule
Vytautas Abramavicius
Quantum machine learning algorithms
Poster
5. Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
Ruslan Shaydulin (JPMorgan Chase)
Learning and optimisation
Poster
156. Exhaustive analysis on the role of quantumness in quantum reservoir computing
Pere Mujal (ICFO)
Data encoding and processing in quantum systems
Poster
263. Experimental quantum-enhanced kernels on a photonic processor
Iris Agresti (University of Vienna)
Quantum machine learning algorithms
Poster
109. Exploiting the Quantum Advantage for Satellite Image Processing
Soronzonbold Otgonbaatar
Benchmarking quantum machine learning
Poster
144. Exploring Quantum Generative Models: A Benchmark Analysis
Ms Natalia Muñoz Moruno (BCN Medtech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain)
Benchmarking quantum machine learning
Poster
59. Expressivity of deterministic quantum computation with one qubit
Yujin Kim (Yonsei University)
Quantum methods for machine learning tasks
Poster
286. Extended Abstract: Geodesic Algorithm for Unitary Gate Design with Time-Independent Hamiltonians
Dylan Lewis (University College London)
Other
Late Poster
191. Federated Quantum Machine Learning with Differential Privacy
Mr Rod Rofougaran (Cornell University)
Quantum machine learning algorithms
Poster
52. FHQNN: A Secure Framework for Federated Learning with Hybrid Quantum Neural Networks and Differential Privacy
Dr Alberto Marchisio (New York University Abu Dhabi)
Quantum machine learning algorithms
Poster
260. Filtering out noisy states for quantum neural networks
Anton Dekusar (IBM Research)
Quantum methods for machine learning tasks
Poster
27. First quantum machine learning applications on an on-site room-temperature quantum computer
Dr Nils Herrmann (Quantum Brilliance)
Benchmarking quantum machine learning
Poster
104. Generalization capacity of singular models in quantum state estimation
Hiroshi Yano (Keio University)
Quantum state reconstruction from data and tomography
Poster
332. Generalizing Fidelity and Bures-Wasserstein distance based on the Riemannian Geometry of the Bures-Wasserstein Manifold
Afham Afham (University of Technology Sydney)
Other
Late Poster
249. Generative Modeling of Quantum Distribution with Functional Flow Matching
Tak Hur (Yonsei University)
Machine learning for quantum experiments
Poster
222. Genetic Algorithms for Quantum Circuit Compilation in Data Loading and Machine Learning Applications
Floyd Creevey (The University of Melbourne)
Data encoding and processing in quantum systems
Poster
242. Graph Neural Networks on Quantum Computers
Yidong Liao (Centre for Quantum Software and Information, University of Technology Sydney, Sydney, NSW, Australia)
Quantum methods for machine learning tasks
Poster
112. Growing Circuit Analysis
Callum Duffy (University College London)
Learning and optimisation
Poster
292. Guided Graph Compression for Quantum Graph Neural Networks
Mikel Casals (Universitat Politècnica de Catalunya)
Other
Late Poster
234. How can we discover BQP-type protocols with geometric quantum machine learning?
Chukwudubem Umeano (University of Exeter)
Quantum learning theory
Poster
114. Hybrid quantum tensor networks for aeroelastic applications
M. Lautaro Hickmann (German Aerospace Center (DLR), Institute for AI Safety and Security)
Quantum machine learning algorithms
Poster
266. Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces
Dániel T. R. Nagy (HUN-REN Wigner Research Centre for Physics, Eötvös Loránd University)
Quantum methods for machine learning tasks
Poster
47. Hybrid Tree Tensor Networks for Quantum Simulation
Francesco Tacchino (IBM Quantum, IBM Research Europe - Zurich)
Quantum variational circuits
Poster
261. Incorporating quantum machine learning for the analysis of alterations in cloud droplet dimensions: A Novel Approach
Mrs Mukta Nivelkar (Veermata Jijabai Technological Institute, Mumbai)
Data encoding and processing in quantum systems
Poster
348. Integrated Photonics for Neuromorphic Computing
Dr Markus Rambach (University of Queensland)
Machine learning for quantum experiments
Late Poster
281. Integrating Xception Network and Multi-Class Variational Quantum Classifier for Diabetic Foot Ulcer Classification
Azadeh Alavi (RMIT University)
Quantum methods for machine learning tasks
Poster
252. iTrust: Ising Machines for Trust-Region Optimisation
Sayantan Pramanik (Tata Consultancy Services)
Learning and optimisation
Poster
166. Kerr quantum learning machine for bosonic modes
Deepesh Singh (University of Queensland)
Quantum variational circuits
Poster
265. Latent Style-based Quantum GAN for high-quality Image Generation
Su Yeon Chang (CERN)
Quantum machine learning algorithms
Poster
185. Learning complexity gradually in quantum machine learning models
Mr Erik Recio-Armengol (ICFO)
Learning and optimisation
Poster
74. Learning Continuous Probability Distributions with Parameterized Observables
Andrii Kurkin (Leiden Universiy)
Quantum machine learning algorithms
Poster
243. Learning Iterative Quantum Feature Maps
Nasa Matsumoto (Quantum Laboratory, Fujitsu Research, Fujitsu Limited)
Learning and optimisation
Poster
233. Learning multi-time quantum processes
Isobel Aloisio (Monash University)
Quantum learning theory
Poster
248. Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines
Cenk Tüysüz (DESY), Maria Demidik (DESY)
Quantum methods for machine learning tasks
Poster
159. Learning to Program Variational Quantum Circuits with Fast Weights
Samuel Yen-Chi Chen (Wells Fargo)
Quantum variational circuits
Poster
106. Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
Peiyong Wang (The University of Melbourne)
Quantum machine learning algorithms
Poster
63. Leveraging Quantum Contrastive Learning and Federated Averaging for Robust Out-of-Distribution Generalization
Asitha Kottahachchi Kankanamge Don (RMIT University, Melbourne)
Quantum-inspired machine learning
Poster
277. Leveraging SPD Matrices on Riemannian Manifolds in Quantum-Classical Hybrid Models for Structural Health Monitoring
Azadeh Alavi (RMIT University)
Quantum methods for machine learning tasks
Poster
33. Light-cone feature selection for quantum machine learning
Yudai Suzuki (Keio University)
Other
Poster
294. Machine Learning driven Real-Time Polarisation Control
Anurag Borah (University of Birmingham)
Other
Late Poster
291. Machine learning on quantum experimental data toward solving quantum many-body problems
Gyungmin Cho
Other
Late Poster
278. MaxSAT Quantum Error Correction Decoders: a new formulation and benchmark study
Dr Mohammadreza Noormandipour (Artificially Intelligence Lab, Nokia Bell Labs)
Benchmarking quantum machine learning
Poster
60. Memory Minimal Predictive Models for Quantum Processes
Dr Graeme Berk (Nanyang Technological University)
Data encoding and processing in quantum systems
Poster
158. Mind the QApp – An Application for Visualizing the Crux in Quantum Machine Learning
Melvin Strobl (Karlsruhe Institute of Technology)
Other
Poster
345. Mitigating Errors in Quantum Krylov Subspace Diagonalization
Gwonhak Lee (Sungkyunkwan University)
Other
Late Poster
127. Mitigation of Noisy Quantum Probability Densities using Machine Learning
Dr Enrico Rinaldi (Quantinuum and RIKEN)
Machine learning for quantum experiments
Poster
176. Mixture of experts for predicting properties of quantum data
Luis Ernesto Campos Espinoza (Skolkovo Institute of Science and Technology)
Quantum machine learning algorithms
Poster
117. Molecular Quantum Transformer
Yuichi Kamata (Quantum Laboratory, Fujitsu Research, Fujitsu Limited)
Quantum machine learning algorithms
Poster
51. Multi-class text classification with quantum circuits
Richard Wolf (Irish Center for High-End Computing)
Benchmarking quantum machine learning
Poster
187. Noise modelling and parameter extraction framework for the NISQ devices
Prof. Ilya Sinayskiy (University of KwaZulu-Natal, Durban, South Africa)
Learning and optimisation
Poster
168. Non-linear Activation using Variational Quantum Splines in Quantum Physics-Informed Neural Networks
Dr Apurva Tiwari (Ansys)
Quantum machine learning algorithms
Poster
228. Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
Mr Osama Ahmed (Imperial College London)
Learning and optimisation
Poster
122. Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning
Junghoon Park (Seoul National University)
Quantum machine learning algorithms
Poster
28. Parametric Matrix Models
Danny Jammooa (Facility for Rare Isotope Beams)
Quantum-inspired machine learning
Poster
113. Patch embedding and Skip mechanism in Quantum Reservoir Computing
Akitada Sakurai (Okinawa Institute of Science and Technology)
Data encoding and processing in quantum systems
Poster
8. Performance analysis of a filtering variational quantum algorithm
Gabriel Marin Sanchez (Quantinuum)
Quantum variational circuits
Poster
199. Performance and Benchmarking of Quantum Convolutional Neural Networks in the Astrophysical Signal Detection: Focus on Transient Gamma-Ray Bursts
Farida Farsian (INAF, Osservatorio Astrofisico di Catania)
Quantum-inspired machine learning
Poster
186. Performance of randomized estimators of the Hafnian of a nonnegative matrix
Alexey Uvarov (University of Toronto)
Learning and optimisation
Poster
210. Phase Diagram of the Semiclassical Boltzmann Machine at T = 0
Mr Nicolás Armando Cabrera Carpio (Federal University of São Carlos)
Other
Poster
230. Photonic machine learning for image classification
Martin Mauser
Quantum-inspired machine learning
Poster
68. Photonic quantum generative adversarial networks for classical data
Tigran Sedrakyan (Sorbonne Université CNRS, LIP6)
Quantum variational circuits
Poster
151. Physics-Informed Neural Networks for Simulating Open Quantum Systems
Shivani Pillay (University of KwaZulu Natal)
Machine learning for quantum experiments
Poster
272. Polynomial Quantum Speedup for Black-box Feature Selection
Dr Omar Shehab (IBM Quantum)
Quantum methods for machine learning tasks
Poster
171. Predicting Optimal Depth in Quantum Approximate Optimization Algorithm
Soumik Adhikary (Centre for Quantum Technologies, National University of Singapore)
Quantum variational circuits
Poster
184. Predicting properties of quantum systems by regression
Andrey Kardashin (Skolkovo Institute of Science and Technology)
Quantum machine learning algorithms
Poster
267. Problem-informed Graphical Quantum Generative Learning
Bence Bakó (HUN-REN Wigner Research Centre for Physics and Eötvös Loránd University)
Quantum methods for machine learning tasks
Poster
137. Pulsar anomaly detection: QOCSVM with CAE extracted features
Donovan Slabbert (Stellenbosch University)
Quantum methods for machine learning tasks
Poster
43. QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
Romina Yalovetzky (JPMorgan Chase)
Quantum methods for machine learning tasks
Poster
295. QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding
Chi-Sheng Chen
Other
Late Poster
306. QFLAT: Quantum Federated Learning with Adaptive Trust for Secure and Efficient IoV Networks: An Innovative Approach
Ahmed Alruwaili (Victoria University)
Quantum machine learning algorithms
Late Poster
105. Quadratic speed-ups in quantum kernelized binary classification
Mr Jungyun Lee (Yonsei University)
Quantum machine learning algorithms
Poster
15. Quantum AI for Classical Software and Classical AI for Quantum Software
Dr Shaukat Ali (Simula Research Laboratory and Oslo Metropolitan University, Oslo, Norway)
Quantum methods for machine learning tasks
Poster
150. Quantum Algorithm for Sparse Online Learning
Debbie Lim (University of Latvia)
Quantum machine learning algorithms
Poster
162. Quantum Algorithms for Branching Coefficients
Martin Larocca
Data encoding and processing in quantum systems
Poster
64. Quantum Annealing based Feature Selection in Machine Learning
Bharadwaj Chowdary Mummaneni (Fraunhofer IAO)
Quantum methods for machine learning tasks
Poster
288. Quantum Anomaly Detection Frameworks for Network Security
Moe Hdaib (Deakin University)
Other
Late Poster
276. Quantum approximated cloning-assisted density matrix exponentiation
Pablo Rodriguez-Grasa (University of the Basque Country)
Data encoding and processing in quantum systems
Poster
165. Quantum Apriori Algorithm
Amanda Gabriela Valério
Quantum machine learning algorithms
Poster
119. Quantum Circuit Optimisation For The Quantum Simulation Of Markovian Open Quantum Systems
Ian Joel David (University Of KwaZulu-Natal)
Learning and optimisation
Poster
149. Quantum Cognition Machine Learning
Dr Dario Villani
Quantum methods for machine learning tasks
Poster
133. Quantum convolutional neural networks for jet images classification
Hala Elhag (DESY and HU Berlin)
Quantum methods for machine learning tasks
Poster
111. Quantum Curriculum Learning
Quoc Hoan Tran (Quantum Laboratory, Fujitsu Limited)
Learning and optimisation
Poster
259. Quantum Data Parallelism in Quantum Neural Networks
Sixuan Wu
Quantum variational circuits
Poster
152. Quantum Deep Sets and Sequences
Vladimir Vargas Calderón (Zapata AI)
Quantum methods for machine learning tasks
Poster
48. Quantum diffusion models for quantum data learning in high-energy physics
Andrea Cacioppo (Sapienza Università di Roma and INFN Roma, Roma, Italy)
Quantum machine learning algorithms
Poster
280. Quantum Enhanced Sampling for Reinforcement Learning with energy based models
Arun Vellat Sadashivan (Jio Platforms Ltd.)
Quantum methods for machine learning tasks
Poster
57. Quantum Generative Adversarial Networks for Particle Identification in Proton Collisions
Lázaro Raúl Diaz Lievano (Benemérita Universidad Autónoma de Puebla)
Quantum machine learning algorithms
Poster
238. Quantum Generative Kernels for Stochastic Classification
Vladimir Rastunkov (IBM Quantum)
Quantum machine learning algorithms
Poster
19. Quantum Generative Learning for High-Resolution Medical Image Generation
Dr Amena Khatun (CSIRO)
Quantum machine learning algorithms
Poster
193. Quantum Generative Modeling via Straightforward State Preparation
Dr Leonardo Lavagna ((University of Rome "La Sapienza", Italy))
Quantum machine learning algorithms
Poster
44. Quantum Grey-box Modelling of Oxygen Effects on Metabolic Gene Expressions in E. coli
Kin Tung Michael Ho (Imperial College London)
Other
Poster
190. Quantum integration of decay processes at high-energy colliders
Jorge Martínez de Lejarza Samper (University of Valencia-IFIC-CSIC)
Quantum machine learning algorithms
Poster
245. Quantum kernel learning Model constructed with small data
Takao Tomono (Keio University)
Quantum methods for machine learning tasks
Poster
84. Quantum kernel machine learning with continuous variables
Laura Henderson (University of Queensland)
Quantum learning theory
Poster
12. Quantum Kernel Principal Components Analysis-Enabled Compact Readout of Chemiresistive Sensor Arrays
Zeheng Wang (CSIRO)
Quantum methods for machine learning tasks
Poster
258. Quantum Machine Learning Adapters
Snehal Raj (QC Ware Corp, LIP6, CNRS, Sorbonne University)
Quantum methods for machine learning tasks
Poster
131. Quantum machine learning for charged particle tracking in high energy physics
Matteo Argenton (University and INFN Ferrara)
Quantum machine learning algorithms
Poster
143. Quantum Machine Learning in Biomedical Applications: A Comparative Study
Miguel A. González Ballester (BCN Medtech, Dept. of Engineering, Universitat Pompeu Fabra, Barcelona, Spain;Quantic, Barcelona Supercomputing Center, Barcelona, Spain;;ICREA, Barcelona, Spain)
Benchmarking quantum machine learning
Poster
223. Quantum machine learning of graph-structured data
Kerstin Beer (Macquarie University, Sydney)
Quantum machine learning algorithms
Poster
58. Quantum noise modeling through Reinforcement Learning
Simone Bordoni (Sapienza universita di Roma, Technology innovation institute (Abu Dhabi))
Machine learning for quantum experiments
Poster
226. Quantum Policy Gradient in Reproducing Kernel Hilbert Space
Dr David Bossens (A*STAR)
Learning and optimisation
Poster
231. Quantum Privacy Aggregation of Teacher Ensembles for privacy preserving quantum machine learning
Huan-Hsin Tseng (Brookhaven National Laboratory)
Quantum machine learning algorithms
Poster
289. Quantum state and process tomography of reduced data sets via a feed-forward neural network
Kavita Dorai (Indian Institute of Science Education and Research IISER Mohali India)
Other
Late Poster
172. Quantum state preparation for multivariate functions
Matthias Rosenkranz (Quantinuum)
Data encoding and processing in quantum systems
Poster
18. Quantum Transfer Learning with Adversarial Robustness for Classification of High-Resolution Image Datasets
Dr Amena Khatun (CSIRO)
Quantum machine learning algorithms
Poster
269. Quantum vs. Classical Approaches: A Comparative Study of Crack Image Segmentation Techniques
Akshaya Srinivasan (Fraunhofer Institute for Industrial Mathematics ITWM)
Quantum methods for machine learning tasks
Poster
138. Quantum Walks Search as a Solution for Barren Plateaus in Quantum Machine Learning
Roberto Campos Ortiz (Universidad Complutense de Madrid)
Quantum methods for machine learning tasks
Poster
139. Quantum-enhanced convex regression
Dr Jannis Born (IBM Research), Juan Carlos Gonzalez Espitia (IBM Research - Politecnico di Milano)
Quantum methods for machine learning tasks
Poster
241. Quantum-Enhanced Spiking Neural Networks with Temporal Encoding
Ms Ria Khatoniar (Dept. of Comp. Sc. & Engg., Birla Institute of Technology and Science, Pilani - Goa Campus, India)
Data encoding and processing in quantum systems
Poster
305. Quantum-inspired framework for computational fluid dynamics
Raghavendra Peddinti (Technology Innovation Institute)
Quantum-inspired machine learning
Late Poster
232. Quantum-Inspired Tensor Networks for Semi-Supervised Anomaly Detection in Medical Imaging
Ema Puljak (CERN)
Quantum-inspired machine learning
Poster
251. Qudit system identification and control using graybox models
Yule Mayevsky-Mattiaccio (RMIT University)
Machine learning for quantum experiments
Poster
350. Real-Time Quantum Control with Reinforcement Learning: Integrating QPU and Classical Compute on the DGX Quantum Platform
Dean Poulus (Quantum Machines)
Machine learning for quantum experiments
Late Poster
283. Regularization Technique for Neural Network Training Using Variational Quantum Circuits
An Ning (Korea Advanced Institute of Science and Technology, Korea)
Other
Late Poster
71. Renormalization & Downsampling as a Classical Subroutine for Amplitude Amplification of Quantum States
Gabriel Escrig (Universidad Complutense de Madrid)
Quantum state reconstruction from data and tomography
Poster
89. Resource efficient transfer learning approach for error mitigation of quantum circuits at scale
Nuiok Dicaire (Q-CTRL)
Machine learning for quantum experiments
Poster
275. Robustness of dissipative quantum algorithms against noise-induced barren plateaus
Elias Zapusek (ETH Zürich)
Other
Poster
129. Role of data-embedding in equivariant quantum convolutional neural networks
Sreetama Das (Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche, Florence, Italy)
Quantum variational circuits
Poster
179. Routing quantum circuits with AlphaZero deep exploration
Marvin Richter (Chalmers University of Technology)
Machine learning for quantum experiments
Poster
123. Schmidt quantum compressor
Hyeondo Oh (Yonsei University)
Quantum methods for machine learning tasks
Poster
6. Shallow Quantum layer for 2D Hybrid Classifier
Jan Balewski (NERSC,Lawrence Berkeley National Laboratory)
Quantum machine learning algorithms
Poster
274. Sign Gradient Descent for Quantum Optimisation
Mr Thomas Crilly (University of Amsterdam)
Learning and optimisation
Poster
192. Simulated Annealing Using Quantum Inspired Algorithms
Eleanor Kedem (University of Cape Town)
Quantum-inspired machine learning
Poster
215. Single-shot Quantum Machine Learning
Erik Recio (ICFO)
Data encoding and processing in quantum systems
Poster
264. Structure-aware learning of word-embeddings using variational quantum circuits
Daphne Wang (University College London)
Quantum methods for machine learning tasks
Poster
253. Sub-universal variational circuits for combinatorial optimization problems
Lirandë Pira (University of Technology Sydney)
Quantum-inspired machine learning
Poster
220. Supervised Machine Learning Optimisation for Variational Quantum Algorithms
Akib Karim (CSIRO)
Learning and optimisation
Poster
200. Tensor networks based quantum optimization algorithm
Akshay Vishwanathan (Research Fellow, Nanyang Technological University)
Learning and optimisation
Poster
37. The Art of Data Encoding and Decoding for Quantum Time Series Analysis
Prof. Jacob Cybulski (Deakin University)
Quantum machine learning algorithms
Poster
285. Time series prediction with photonic quantum memristor
Michał Siemaszko (University of Warsaw)
Other
Late Poster
110. To Entanglement and Beyond: Explaining Superior Generalizability of Quantum Neural Networks
Junghoon Park (Seoul National University)
Learning and optimisation
Poster
236. Toward Large-Scale-Qubit Quantum Circuit Simulation in Quantum Machine Learning with cuTN-QSVM
Yun-Yuan Wang (NVIDIA)
Dequantization and classical simulation methods in QML
Poster
296. Towards Localized Surrogate models in Quantum Machine Learning for Cost Optimization and reduced Sample Complexity
Sreeraj Rajindran Nair (University of Technology Sydney (UTS))
Other
Late Poster
182. Training embedding quantum kernels with quantum neural networks
Pablo Rodriguez-Grasa (University of the Basque Country)
Quantum machine learning algorithms
Poster
4. Transforming Tinnitus Diagnosis: Integrating Technology and Biology for Improved Health Outcomes
Fahad Ahmad (University of Portsmouth), Dr Kashaf Junaid (Queen Mary University of London)
Quantum machine learning algorithms
Poster

Abstract
Tinnitus, a complex auditory disorder known as "ringing in the ears," affects approximately 15% of the global population, significantly impacting the quality of life. Traditional diagnostic methods for tinnitus vary in effectiveness, highlighting the need for precise, personalized diagnostic approaches. This study introduces the Tinnitus Detection-Diagnostic Support System (TDDSS),...
94. Uncertainty estimation in quantum extreme reservoir computation towards enabling reliable quantum machine learning
Mr Aoi Hayashi (SOKENDAI (the Graduate University for Advanced Studies), Okinawa Institute of Science and Technology, National Institute of Informatics)
Quantum machine learning algorithms
Poster
207. Understanding Generalization in Quantum Machine Learning with Margins
Tak Hur (Yonsei University)
Quantum learning theory
Poster
70. Unsupervised Beyond-Standard-Model Event Discovery at the LHC with a Novel Quantum Autoencoder
Mr Callum Duffy (University College London)
Quantum machine learning algorithms
Poster
121. Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Daniel Pranjic (Fraunhofer)
Benchmarking quantum machine learning
Poster
212. Using artificial intelligence for improving quantum channel discrimination
Dr Jaroslaw Miszczak (IITiS PAN)
Quantum variational circuits
Poster
46. Using Large Language Models to Assist Teaching Quantum Computing
Lars Krupp
Other
Poster
140. Using physics-informed quantum machine learning to solve nonlinear differential equations in latent spaces without costly grid evaluations
Annie Paine (PASQAL)
Quantum machine learning algorithms
Poster
67. Variational ansatz inspired by quantum imaginary time evolution
Xiaoyang Wang (Peking University)
Quantum variational circuits
Poster
178. Variational Quantum Algorithms in the era of NISQ devices
Daniil Rabinovich (Skolkovo Institute of Science and Technology)
Quantum variational circuits
Poster
132. Variational Quantum Circuit Decoupling
XIMING WANG (Nanyang Technological University)
Quantum variational circuits
Poster
219. Variational Quantum Machine Learning with Quantum Error Detection
Eromanga Adermann (Data61 / CSIRO)
Other
Poster
155. Variational quantum simulation: a case study for understanding warm starts
Marc Drudis (Epfl and IBM)
Quantum variational circuits
Poster
188. Variational state preparation with noisy trapped-ion quantum computers
Zakhar Saiapin
Quantum variational circuits
Poster
297. VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models
Ji Guan
Other
Late Poster
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