Piperno, S.; Vittori, G.; Windridge, D.; Rosato, A.; Panella, M.

Classical to quantum knowledge distillation: a study on the impact of hybridization

Conference paper

Piperno, S., Vittori, G., Windridge, D., Rosato, A. and Panella, M. 2025. Classical to quantum knowledge distillation: a study on the impact of hybridization. 2025 International Joint Conference on Neural Networks. Rome, Italy 30 Jun - 05 Jul 2025 IEEE. https://doi.org/10.1109/ijcnn64981.2025.11227730

ISBN
Type	Conference paper
Title	Classical to quantum knowledge distillation: a study on the impact of hybridization
Authors	Piperno, S., Vittori, G., Windridge, D., Rosato, A. and Panella, M.
Abstract	Knowledge distillation (KD) is a widely explored technique in classical machine learning, in which a smaller or more efficient model is trained to mimic the behavior of a larger, more complex model. In this study, we extend the concept of knowledge distillation from classical architectures to quantum architectures, with the goal of improving the training of quantum models while potentially reducing the number of parameters compared to their classical counterparts. Given the inherent challenges in training quantum neural networks, leveraging knowledge from well-established classical models could provide valuable insights and advantages, particularly in terms of model efficiency and performance. In this work we explore the potential benefits of this approach, evaluating a hybrid quantum model against a nonhybrid quantum baseline. While the proposed study is still in the preliminary stage, it aims to set the scene for further investigation into the most appropriate architecture for classical-to-quantum KD in order to enhance the development and optimization of quantum neural networks more generally.
Keywords	quantum machine learning
Sustainable Development Goals	9 Industry, innovation and infrastructure
Middlesex University Theme	Creativity, Culture & Enterprise
Research Group	Artificial Intelligence group
Conference	2025 International Joint Conference on Neural Networks
Proceedings Title	2025 International Joint Conference on Neural Networks (IJCNN)
ISSN	2161-4393
Electronic	2161-4407
Electronic	9798331510428
Paperback	9798331510435
Publisher	IEEE
Publication dates
Print	30 Jun 2025
Online	14 Nov 2025
Publication process dates
Accepted	17 Apr 2025
Deposited	07 Jul 2025
Output status	Published
Accepted author manuscript	IJCNN25_Camera_Ready__ID_6162_Classical_to_Quantum_Knowledge_Distillation__a_Study_on_the_Impact_of_Hybridization__Copy_ noq.pdf License CC BY 4.0 File Access Level Open
Copyright Statement	For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) license to any Accepted Manuscript version arising.
Digital Object Identifier (DOI)	https://doi.org/10.1109/ijcnn64981.2025.11227730
Web address (URL) of conference proceedings	https://doi.org/10.1109/IJCNN64981.2025

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Khan, A., Windridge, D. and Kittler, J. 2014. Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation. IEEE Transactions on Cybernetics. 44 (10), pp. 1910-1923. https://doi.org/10.1109/TCYB.2014.2299955

Domain anomaly detection in machine perception: a system architecture and taxonomy

Kittler, J., Christmas, W., De Campos, T., Windridge, D., Yan, F., Illingworth, J. and Osman, M. 2014. Domain anomaly detection in machine perception: a system architecture and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36 (5), pp. 845-859. https://doi.org/10.1109/TPAMI.2013.209

A saliency-based framework for 2D-3D registration

Brown, M., Guillemaut, J. and Windridge, D. 2014. A saliency-based framework for 2D-3D registration. 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014). Lisbon, Portugal 05 - 08 Jan 2014 SCITEPRESS - Science and Technology Publications. pp. 265-273 https://doi.org/10.5220/0004675402650273

Supervised selective kernel fusion for membrane protein prediction

Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. 2014. Supervised selective kernel fusion for membrane protein prediction. Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. (ed.) 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. pp. 98-109 https://doi.org/10.1007/978-3-319-09192-1_9

Challenges in designing an online healthcare platform for personalised patient analytics

Poh, N., Tirunagari, S. and Windridge, D. 2014. Challenges in designing an online healthcare platform for personalised patient analytics. 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD). Orlando, FL., USA 09 - 12 Dec 2014 IEEE. pp. 1-6 https://doi.org/10.1109/CIBD.2014.7011526

Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses

Tirunagari, S., Poh, N., Aliabadi, K., Windridge, D. and Cooke, D. 2014. Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Orlando, FL., USA 09 - 12 Dec 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 304-309 https://doi.org/10.1109/CIDM.2014.7008682

Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs

Chernousova, E., Levdik, P., Tatarchuk, A., Mottl, V. and Windridge, D. 2014. Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs. 22nd International Conference on Pattern Recognition ICPR 2014. Stockholm, Sweden 24 - 28 Aug 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 3654-3659 https://doi.org/10.1109/ICPR.2014.628

Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection

Chernousova, E., Razin, N., Krasotkina, O., Mottl, V. and Windridge, D. 2014. Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection. in: Aleskerov, F., Goldengorin, B. and Pardalos, P. (ed.) Clusters, Orders, and Trees: Methods and Applications: In Honor of Boris Mirkin's 70th Birthday New York Springer.

Automatic annotation of tennis games: an integration of audio, vision, and learning

Yan, F., Kittler, J., Windridge, D., Christmas, W., Mikolajczyk, K., Cox, S. and Huang, Q. 2014. Automatic annotation of tennis games: an integration of audio, vision, and learning. Image and Vision Computing. 32 (11), pp. 896-903. https://doi.org/10.1016/j.imavis.2014.08.004

A kernel-based framework for medical big-data analytics

Windridge, D. and Bober, M. 2014. A kernel-based framework for medical big-data analytics. in: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges Springer. pp. 197-208

Characterizing driver intention via hierarchical perception-action modeling

Windridge, D., Shaukat, A. and Hollnagel, E. 2013. Characterizing driver intention via hierarchical perception-action modeling. IEEE Transactions on Human-Machine Systems. 43 (1), pp. 17-31. https://doi.org/10.1109/TSMCA.2012.2216868

Trained eyes: experience promotes adaptive gaze control in dynamic and uncertain visual environments

Taya, S., Windridge, D. and Osman, M. 2013. Trained eyes: experience promotes adaptive gaze control in dynamic and uncertain visual environments. PLoS ONE. 8 (8). https://doi.org/10.1371/journal.pone.0071371

High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP)

Abbey, C., Hope, C., Sterr, A., Elangovan, P., Geades, N., Windridge, D., Young, K., Wells, K. and Mello-Thoms, C. 2013. High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP). SPIE Proceedings Vol. 8673. https://doi.org/10.1117/12.2007557

Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene

Taya, S., Windridge, D. and Osman, M. 2012. Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene. PLoS ONE. 7 (6). https://doi.org/10.1371/journal.pone.0039060

Automatic annotation of court games with structured output learning

Yan, F., Kittler, J., Mikolajczyk, K. and Windridge, D. 2012. Automatic annotation of court games with structured output learning. 21st International Conference on Pattern Recognition. Tsukuba, Japan 11 - 15 Nov 2012 IEEE. pp. 3577-3580 https://doi.org/https://ieeexplore.ieee.org/document/6460938

Application of the multi-modal relevance vector machine to the problem of protein secondary structure prediction

Razin, N., Sungurov, D., Mottl, V., Torshin, I., Sulimova, V., Seredin, O. and Windridge, D. 2012. Application of the multi-modal relevance vector machine to the problem of protein secondary structure prediction. 7th IAPR International Conference on Pattern Recognition in Bioinformatics. Tokyo, Japan 08 - 10 Nov 2012 Springer. pp. 153-165 https://doi.org/10.1007/978-3-642-34123-6_14

Anomaly detection and knowledge transfer in automatic sports video annotation

Almajai, I., Yan, F., De Campos, T., Khan, A., Christmas, W., Windridge, D. and Kittler, J. 2011. Anomaly detection and knowledge transfer in automatic sports video annotation. in: Weinshall, D., Anemüller, J. and Gool, L. (ed.) Detection and Identification of Rare Audio-visual Cues Springer. pp. 109-117

An evaluation of bags-of-words and spatio-temporal shapes for action recognition

de Campos, T., Barnard, M., Mikolajczyk, K., Kittler, J., Yan, F., Christmas, W. and Windridge, D. 2011. An evaluation of bags-of-words and spatio-temporal shapes for action recognition. 2011 IEEE Workshop on Applications of Computer Vision (WACV). Kona, HI, USA 05 - 07 Jan 2011 IEEE. https://doi.org/10.1109/WACV.2011.5711524

A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets

Panov, M., Tatarchuk, A., Mottl, V. and Windridge, D. 2011. A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets. 10th International Workshop on Multiple Classifier Systems. Naples, Italy 15 - 17 Jun 2011 Springer. https://doi.org/10.1007/978-3-642-21557-5_15

Ball event recognition using HMM for automatic tennis annotation

Almajai, I., Kittler, J., De Campos, T., Christmas, W., Yan, F., Windridge, D. and Khan, A. 2010. Ball event recognition using HMM for automatic tennis annotation. 2010 IEEE International Conference on Image Processing. Hong Kong, China 26 - 29 Sep 2010 IEEE. https://doi.org/10.1109/ICIP.2010.5652415

Adaptive, perception-action-based cognitive modelling of human driving behaviour using control, gaze and signal inputs

Shaukat, A., Windridge, D., Hollnagel, E., Macchi, L. and Kittler, J. 2010. Adaptive, perception-action-based cognitive modelling of human driving behaviour using control, gaze and signal inputs. Brain Inspired Cognitive Systems - BICS 2010. Madrid, Spain 14 - 16 Jul 2010

A support kernel machine for supervised selective combining of diverse pattern-recognition modalities

Tatarchuk, A., Urlov, E., Mottl, V. and Windridge, D. 2010. A support kernel machine for supervised selective combining of diverse pattern-recognition modalities. 9th International Workshop on Multiple Classifier Systems. Cairo, Egypt 07 - 09 Apr 2010 Springer. https://doi.org/10.1007/978-3-642-12127-2_17

Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution

Poh, N., Windridge, D., Mottl, V., Tatarchuk, A. and Eliseyev, A. 2010. Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Transactions on Information Forensics and Security. 5 (3), pp. 461-469. https://doi.org/10.1109/TIFS.2010.2053535

A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures

Shevchenko, M., Windridge, D. and Kittler, J. 2009. A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures. Image and Vision Computing. 27 (11), pp. 1702-1714. https://doi.org/10.1016/j.imavis.2008.12.002

An entropy-based approach to the hierarchical acquisition of perception-action capabilities

Windridge, D., Shevchenko, M. and Kittler, J. 2008. An entropy-based approach to the hierarchical acquisition of perception-action capabilities. 4th International Workshop on Cognitive Vision. Santorini, Greece 12 May 2008 Springer. https://doi.org/10.1007/978-3-540-92781-5_7

Cognitive learning with automatic goal acquisition

Kittler, J., Shevchenko, M. and Windridge, D. 2006. Cognitive learning with automatic goal acquisition. 3rd European Starting AI Researcher Symposium. Riva del Garda, Italy 28 - 29 Aug 2006 IOS Press. https://doi.org/10.5555/1565192.1565195

A memory architecture and contextual reasoning framework for cognitive vision

Kittler, J., Christmas, W.J., Kostin, A., Yan, F., Kolonias, I. and Windridge, D. 2005. A memory architecture and contextual reasoning framework for cognitive vision. 14th Scandinavian Conference on Image Analysis. Joensuu, Finland 19 - 22 Jun 2005 Springer. https://doi.org/10.1007/11499145_36

A linguistic feature vector for the visual interpretation of sign language

Bowden, R., Windridge, D., Kadir, T., Zisserman, A. and Brady, M. 2004. A linguistic feature vector for the visual interpretation of sign language. 8th European Conference on Computer Vision. Prague, Czech Republic 11 - 14 May 2004 Springer. https://doi.org/10.1007/978-3-540-24670-1_30

A general strategy for hidden markov chain parameterisation in composite feature-spaces

Windridge, D., Bowden, R. and Kittler, J. 2004. A general strategy for hidden markov chain parameterisation in composite feature-spaces. Joint IAPR International Workshops, SSPR 2004 and SPR 2004. Lisbon, Portugal 18 - 20 Aug 2004 Springer. pp. 1069-1077 https://doi.org/10.1007/978-3-540-27868-9_118

A morphologically optimal strategy for classifier combination: Multiple expert fusion as a tomographic process

Windridge, D. and Kittler, J. 2003. A morphologically optimal strategy for classifier combination: Multiple expert fusion as a tomographic process. IEEE Transactions on Pattern Analysis and Machine Intelligence. 25 (3), pp. 343-353. https://doi.org/10.1109/TPAMI.2003.1182097