Room 210

Yianni Gamvros, SVP, Sales & Marketing, QC Ware

An overview of the latest results and direction for Quantum Motion. Realising qubits in 300mm wafer scale silicon. James Palles-Dimmock, CEO, Quantum Motion

Russell Stutz, Director, Commercial Hardware, Quantinuum

New research shows evidence of quantum utility: a point at which quantum computers could serve as scientific tools to explore a new scale of problems that classical systems may never […]

It is no longer a contrarian position that quantum computers require fault tolerance for useful applications. However, even in this regime it is incumbent on us to make concrete statements […]

Although currently somewhat behind the leading candidates for qubit platforms, momentum is building for silicon-based spin qubit systems as the platform that will deliver real world quantum computing. In this […]

Unlike other quantum computers, C12 uses carbon nanotubes as the fundamental building block of their processor. By combining the power of an ultra-pure material with an easy-to-manufacture semiconductor device, we […]

To build practical quantum computers we will need millions of physical qubits to be in a constant state of tune. However, today even in the era of 10s of qubit, […]

Discover the latest advances in quantum chemistry algorithms as QunaSys presents its latest solutions to overcome the limitations of the Variational Quantum Eigensolver (VQE), including an in-depth look at the […]

Catherine Vollgraff Heidweiller, Product Manager (Quantum Hardware and Software), Google Quantum AI

Valérian Giesz, COO & Co founder, Quandela

Headquartered in Paris, France and co-founded by Nobel laureate Prof. Alain Aspect, PASQAL is a full-stack quantum computing company focused on achieving near-term quantum advantage on neutral atom quantum computers. […]

Elica Kyoseva, Program Director, Quantum for Bio, Wellcome Leap Kanav Setia, Chief Executive Officer, qBraid Co. Grant Rotskoff, Assistant Professor of Chemistry, Stanford University Dr. Iordanis Kerinidis, SVP, Quantum Algorithms, […]

Machine learning is prevalent throughout the drug discovery pipeline. The QC team in Roche pRED has been investigating the potential of applying QC to speed up or improve ML algorithms. […]

Moonlight AI uses computer vision to detect genomic biomarkers from high resolution images of blood smears. Together with QuantumBasel, we explore the potential for quantum neural networks to combine single-cell features into a more accurate representation of the patient's disease status. Nicole Romano, CTO, Moonlight AI

David van Zanten, Associate Scientist, Fermilab

This talk is to present FCAT’s research into Explainable AI. We will be showing a tool that seeks to explain behavior in data in a way that is understandable for everyone, potentially using a QUBO-based quantum hardware. Elton Zhu, Director, Quantum Research, Fidelity Center for Applied Technology

In our research, we employ the theory of open quantum systems to provide a theoretical framework for quantum generative models, including generators and reservoirs. Our study encompasses the theoretical design, quantum hardware realization, and algorithmic learning of these systems within the domain of financial time series modeling. We establish a connection between quantum and classical […]

Moody’s Analytics provides financial intelligence and analytical tools to help business leaders make better, faster decisions. We rely on our deep risk expertise, expansive information resources, and innovative application of technology. Quantum Computing is no exception. In this talk we will explain our approach to quantum computing and provide an overview of our open research […]

We will present and demo BlueQubit’s QML platform with GPU acceleration and tensor network support. In addition, we will discuss a QML data loader case study and carry out a demo on how our infra can accelerate quantum R&D and reduce your infra costs 10x. Hrant Gharibyan, CEO, BlueQubit

In this presentation, we delve into the utilization of quantum kernels in health sciences data analysis. We address the critical issues of reproducibility inherent to quantum kernels and discuss the variability challenges posed by small datasets. Our exploration aims to provide insights and potential solutions for these quantum computing challenges in the realm of health […]

From reservoir computing to neural nets to ensemble models, the future of quantum machine learning is bright. In this talk, we highlight advanced methods of quantum machine learning, discuss results, and point the path towards future work and advances. Scott Buchholz, Global Quantum Lead, Deloitte Consulting, LLP

Qruise is developing a machine-learning-based toolset to expedite the growth and quantum computing and quantum sensing. Our processes can rapidly initialize and characterize the device in fine detail, enabling us to pinpoint the origins of performance bottlenecks. Qruise tackles the inverse problem, that is, deconstructing the device under development, with the intention of quickly identifying […]