Quantum in Consumer Technology Workshop

 The Workshop on Quantum in Consumer Technology is the fourth workshop of its kind at IEEE Quantum Week.

It aims to discuss the current status, innovations, and future directions of Quantum Technologies.

The workshop will focus on interdisciplinary technologies, applications, manufacturing, and standards relevant to consumer products, services, systems, and architectures.

This workshop is organized by members of the Quantum in Consumer Technology Technical Committee from the IEEE Consumer Technology Society.

 The main objective of the workshop is to help bring about the widespread adoption of the Quantum Computing (QC) industry by encouraging the involvement of the consumer industry in the field. This will be achieved through the participation of industry practitioners, academics, and researchers in sessions and discussions about QC, where they will share their experiences, advances, and potential applications of QC to Consumer Technology (CT).

There are two primary goals for the workshop:

• To bring CT industry practitioners and researchers to IEEE Quantum Week to gain insight into QC and discuss its possible applications to CT.

• To expose the IEEE Quantum Week community to significant problems faced by the CT industry that could be better addressed with QC.

 Sessions

Session 1 - Quantum applications for Medicine, biomedical, and health:

This session will explore the growing use of quantum technologies in the medical and healthcare industries, particularly for diagnostics, drug discovery, and personalized medicine. It will cover ongoing research and applications of quantum computing, quantum sensing, and quantum-enhanced imaging, and their potential impact on biomedical research and healthcare. Speakers will discuss how quantum computing is used for complex simulations in drug discovery and genomic analysis, and how quantum sensors can improve imaging resolution and precision diagnostics. The session will also address challenges in integrating quantum solutions into existing medical infrastructures and the steps required for their practical implementation.

Moderator:  Himanshu Thapliyal, Rhines Endowed Quantum Informatics Professor, SMU Dallas

• Quantum Computing for Multiomics Data - Sonika Johri, Coherent Computing 

• Quantum Fusion: Igniting a Healthcare Revolution with AI, Quantum Computing, and Nano-Scale Sensing - John D. Mayfield, M.D. Ph.D. M.Sc., Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging 

• Panel on Quantum for Healthcare (Sonika Johri, John D. Mayfield, Rafael Sotelo and Himanshu Thapliyal)

Session 2 - Quantum Applications for Logistics and Optimization:

This session will examine how quantum computing is being explored to address complex optimization challenges in logistics, supply chain management, and transportation. It will focus on how quantum algorithms and hybrid quantum-classical approaches are being developed to enhance efficiency in routing, scheduling, and resource allocation. Experts will discuss current research and practical experiments, including vehicle routing, warehouse optimization, and dynamic scheduling, as well as the limitations of implementing quantum solutions at scale.

Moderator: Rafael Sotelo, Universidad de Montevideo & Quantum-South

• Quantum Advantage for Optimization and Machine Learning – Enrique Kike Solano, Kipu Quantum

• Indexing, Mixing and Performance Enhancement for Quantum Optimisation Algorithms – Aidan Smith, University of Western Australia

• Air cargo loading optimization using QUBO – Laura Gatti, Universidad de Montevideo & Quantum-South

Session 3 - High Performance Computing and Quantum Computing:

This session will explore how High Performance Computing (HPC) and Quantum Computing are increasingly being studied as complementary technologies for complex computational problems. It will cover how quantum computing can be integrated into existing HPC workflows, the types of problems where quantum methods may offer advantages, and the challenges of hybrid quantum-classical approaches. Speakers will discuss current efforts to bridge HPC and quantum systems, including quantum-inspired algorithms, cloud-based quantum computing services, and early-stage practical applications. The session will also address technical constraints, scalability concerns, and the role of software frameworks in facilitating this integration.

Moderator:  Himanshu Thapliyal, Rhines Endowed Quantum Informatics Professor, SMU Dallas

• Towards Efficient and Secure Quantum Neural Networks in the NISQ Era - Alberto Marchisio, New York University (NYU) Abu Dhabi, UAE 

• Accelerated Quantum Supercomputing - Yuri Alexeev, NVIDIA 

• Quantum Circuit Cutting: Making QPEs Work at the NISQ Era - Amlan Chakrabarti, Calcutta University

Workshop organizers

Rafael Sotelo, Universidad de Montevideo

Jingbo Wang, University of Western Australia

Edoardo Giusto, University of Naples Federico II

Himanshu Thapliyal, Southern Methodist University (SMU), Dallas, USA

Fernando Hernandez-Gobertti, Universitat Politecnica de Valencia (UPV)