Quantum Algorithms, Machine Learning, and Foundations

ORAL · VIR-G01 · ID: VIR-G01







Presentations

  • Oral-Virtual

    Publication: Title: Hybrid Lattice Surgery: Non-Clifford Gates via Non-Abelian Surface Codes
    Authors: Sheng-Jie Huang; Alison Warman; Sakura Schafer-Nameki; Yanzhu Chen
    arXiv:2510.20890

    Presenters

    • Alison Warman

      • University of Oxford

    Authors

    • Alison Warman

      • University of Oxford
    • Sheng-Jie Huang

      • Max Planck Institute for the Physics of Complex Systems
    • Sakura Schafer-Nameki

    • Yanzhu Chen

      • Florida State University

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  • Oral-Virtual

    Publication: From Wavefunctional Entanglement to Entangled Wavefunctional Degrees of Freedom by Aniruddha Bhattacharya.
    Current Status: With author, after first round of peer-review; a revised manuscript will be re-submitted, shortly. Journal: Physical Review A. arXiv preprint: https://arxiv.org/abs/2507.04650

    Presenters

    • Aniruddha Bhattacharya

      • Georgia Institute of Technology

    Authors

    • Aniruddha Bhattacharya

      • Georgia Institute of Technology

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  • Oral-Virtual

    Publication: Variational Quantum Annealing for Quantum Chemistry (arXiv:2503.15473)

    Presenters

    • Ka Wa Yip

      • Northeastern University

    Authors

    • Ka Wa Yip

      • Northeastern University
    • Kubra Yeter-Aydeniz

    • Sijia Dong

      • Northeastern University

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  • Oral-Virtual · Withdrawn

    Publication: Miller, JA., Guillozet-Bongaarts, A., Gibbons, LE., et al. (2017). "Neuropathological and transcriptomic characteristics of the aged brain." eLife 6:e31126.
    DOI: https://doi.org/10.7554/eLife.31126
    Allen Institute for Brain Science (2016). "Aging, Dementia and Traumatic Brain Injury Study Documentation."URL: https://aging.brain-map.org/

    ANÁLISIS BASELINE Y SELECCIÓN DE GENES
    RNA-Seq Preprocessing y Control de Calidad
    3. Love, MI., Huber, W., Anders, S. (2014). "Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2." Genome Biology 15:550.
    DOI: https://doi.org/10.1186/s13059-014-0550-8
    Risso, D., Ngai, J., Speed, TP., Dudoit, S. (2014). "Normalization of RNA-seq data using factor analysis of control genes or samples." Nature Biotechnology 32:896–902.
    DOI: https://doi.org/10.1038/nbt.2931

    CONSTRUCCIÓN DE REDES DE CO-EXPRESIÓN GÉNICA
    Langfelder, P., Horvath, S. (2008). "WGCNA: an R package for weighted correlation network analysis." BMC Bioinformatics 9:559.
    DOI: https://doi.org/10.1186/1471-2105-9-559
    Miller, JA., Oldham, MC., Geschwind, DH. (2008). "A Systems Level Analysis of Transcriptional Changes in Alzheimer's Disease and Normal Aging." Journal of Neuroscience 28(6):1410–1420.
    Oldham, MC., Konopka, G., Iwamoto, K., et al. (2008). "Functional organization of the transcriptome in human brain." Nature Neuroscience 11:1271–1282.
    DOI: https://doi.org/10.1038/nn.2207

    GRAPH NEURAL NETWORKS (GNNs) EN GENÓMICA
    Zhang, Xiao-Meng and Liang, Li and Liu, Lin and Tang, Ming-Jing (2021). "Graph Neural Networks and Their Current Applications in Bioinformatics." Frontiers in Genetics 12:690049.
    DOI: https://doi.org/10.3389/fgene.2021.690049
    QUANTUM MACHINE LEARNING (Componente Cuántico)
    Schuld, M., Killoran, N. (2019). "Quantum Machine Learning in Feature Hilbert Spaces." Physical Review Letters 122:040504.
    DOI: https://doi.org/10.1103/PhysRevLett.122.040504
    Huang, HY., Broughton, M., Mohseni, M., et al. (2021). "Power of data in quantum machine learning." Nature Communications 12:2631.
    DOI: https://doi.org/10.1038/s41467-021-22539-9

    INTERPRETABILIDAD Y DESCUBRIMIENTO DE BIOMARCADORES
    Lundberg, S. M., & Lee, S. (2017). A unified approach to interpreting model predictions. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1705.07874

    Presenters

    • David Castillo Salazar

      • Universidad Tecnológica Indoamérica (UTI)

    Authors

    • David Castillo Salazar

      • Universidad Tecnológica Indoamérica (UTI)
    • Saravana Prakash Thirumuruganandham

      • sit.health

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  • Oral-Virtual

    Publication: 1. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=cDOs5BMAAAAJ&sortby=pubdate&citation_for_view=cDOs5BMAAAAJ:ufrVoPGSRksC

    2. The initial work was presented at NGISE conference with limited results

    Presenters

    • Arati Sahoo

      • Unisys India Pvt. Ltd

    Authors

    • Salvatore Sinno

    • Markus Bertl

    • Arati Sahoo

      • Unisys India Pvt. Ltd
    • Bhavika Bhalgamiya

      • Unisys
    • Thomas Groß

    • Nicholas Chancellor

    • Arati Sahoo

      • Unisys India Pvt. Ltd

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  • Oral-In-person

    Publication: Higuchi, H., Tseng, S.-Y., Tsutsui, S., Sueishi, N., Iwakiri, H., Zhu, M., "Fixing Divergence in Carleman Linearization via Analytical Continuation," manuscript in preparation, QunaSys Inc. (2025).

    Presenters

    • Mingshuo Zhu

      • QunaSys Inc.

    Authors

    • Mingshuo Zhu

      • QunaSys Inc.
    • Hayato Higuchi

      • QunaSys Inc.
    • Shoichiro Tsutsui

      • QunaSys Inc.
    • hokuto iwakiri

      • QunaSys Inc.
    • Shih-Yen Tseng

    • Naohisa Sueishi

    View abstract →