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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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, […]

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 […]