Location: Room O3 – Orchid Jr 4211-2 (Level 4)
Abstract: Hybrid quantum-classical computing is emerging as a practical approach to integrating quantum with classical high-performance computing. This track will bring together speakers from industry and academia to discuss advancements, challenges, and real-world applications of hybrid systems. The session aims to provide insights into ongoing research, industry adoption, and the potential of hybrid computing in solving complex problems.
Track Chair: Dr Su Yi, Executive Director, IHPC and National Quantum Computing Hub Lead PI
[Invited Track]
Programme:
| Time | Session |
| 11:00am – 11:15am | Opening and MoU Signing |
| 11:15am – 11:45am | Accelerated Quantum Supercomputing at NVIDIA
Quantum computing has the potential to offer giant leaps in computational capabilities, impacting a range of industries from drug discovery to portfolio optimization. Realizing these benefits requires pushing the boundaries of quantum information science in the development of algorithms, research into more capable quantum processors and error correction, and the creation of tightly integrated quantum-classical systems and tools. We’ll review the challenges facing quantum computing and reveal exciting developments in how AI supercomputing can help solved them. – Dr Elica Kyoseva, Director for Quantum Algorithm Engineering, NVIDIA |
| 11:45am – 12:15pm | Advanced Quantum Programming: Going beyond Quantum Circuits Quantum computers have the potential to drastically outperform conventional computers for a variety of tasks, from simulating molecular interactions to machine learning. Getting to useful quantum computers rely on finding algorithms that are tailored to their microscopic nature, through using quantum interference and other quantum mechanisms, and having hardware that is able to run them reliably. Both hardware and software barriers still remain, but they are coming down fast because of advancements in the field. We are at an inflection point where useful quantum computing might not be too far away. One of the barriers that remain is that better ways of programming quantum computers are still needed. To that end, pushing the frontier of quantum programming languages will help simplify the task of programming quantum processors by going beyond gate-by-gate descriptions of quantum circuits and increasing levels of abstraction. At Horizon Quantum Computing, we are building tools to code, compile and deploy from these higher levels of abstraction, and move towards a fully automated synthesis of quantum algorithms. – Dr Si-Hui Tan, Chief Science Officer, Horizon Quantum |
| 12:30pm – 01:30pm | Lunch |
| 01:30pm – 02:00pm | Quantum Horizons: NQCH 3.0 Pioneering Industry-Driven Innovation in Singapore and Beyond The National Quantum Computing Hub (NQCH) 3.0 represents Singapore’s strategic leap into transforming quantum potential into real-world impact. Supported by the Quantum Engineering Programme (QEP) 3.0, this initiative accelerates industry-driven quantum applications through targeted collaborations in high-value sectors such as computational biology, finance, logistics, and green chemistry. By fostering partnerships between industry leaders, quantum hardware providers, and research teams, NQCH 3.0 bridges quantum algorithms with practical business challenges—from drug discovery and portfolio optimisation to sustainable supply chains. The hub prioritises scalable Proof-of-Concepts (POCs), sovereign quantum software capabilities, and a vibrant R&D ecosystem, positioning Singapore as a regional innovation nexus. This keynote will explore how NQCH 3.0 integrates cross-sector expertise, aligns with current quantum hardware advancements, and cultivates talent to unlock economic viability and global competitiveness, ensuring Singapore remains at the forefront of the quantum revolution. – Dr Su Yi, Executive Director, Institute of High Performance Computing (IHPC), A*STAR |
| 02:00pm – 02:20pm | JHPC Quantum Project for Building Quantum-HPC Hybrid Computing Platform As the number of qubits in advanced quantum computers is getting larger over 100 qubits, demands for the integration of quantum computers and HPC are gradually growing for realizing “Quantum Utility”. The quantum computing technology is a promising component in near future HPC system to accelerate computational science. RIKEN R-CCS has been conducting JHPC quantum project, which is a project to design and build a quantum-supercomputer hybrid computing platform which integrates different kinds of on-premises quantum computers, superconducting quantum computer from IBM and trapped-ion quantum computer from Quantinuum, with supercomputers including Fugaku. In this presentation, the overview and current status of the JHPC quantum project with a perspective of quantum HPC hybrid computing will be presented. – Prof Mitsuhisa Sato, Director, Quantum-HPC Hybrid Software Environment, Quantum-HPC Hybrid Platform Division, R-CCS |
| 02:20pm – 02:40pm | Full-Stack Quantum Middleware for Seamless Hybrid Quantum-Classical Integration This talk explores quantum middleware’s crucial role in integrating hybrid quantum-classical algorithms. Focusing on Qibo, a full-stack open source quantum middleware framework, we demonstrate its capabilities for circuit design, simulation, and hardware deployment. We briefly introduce hybrid algorithms and showcase Qibo’s use in implementing hybrid models. Finally, we summarize challenges in achieving seamless integration, including optimizing communication, developing error mitigation techniques, and creating user-friendly tools for complex hybrid workflows. We discuss future directions for middleware development to unlock the full potential of hybrid quantum computing. – A/Prof Stefanno Carrazza, Associate Professor, University of Milan |
| 02:40pm – 03:00pm | Accelerating Quantum Computing R&D with Amazon Braket Amazon Braket, the quantum computing service by AWS, provides access to quantum processors with different programming paradigms and a variety of technologies. In concert with other services of the AWS cloud, Amazon Braket enables large-scale research projects producing verifiable and reproducible findings. Quantum devices can be accessed on-demand, via dedicated hybrid jobs, and through exclusive reservations, each being suitable for different stages of quantum computing research projects. By collaborating with top researchers from organization around the globe, Braket is accelerating the search for hybrid quantum classical algorithms for practical applications. – Mr Peter Komar, Sr. Scientist, Amazon Web Services |
| 03:00pm – 03:20pm | Qubit Efficient Quantum-Classical Computing and Applications in Logistics, Defense and Manufacturing We will present some highlights of some of our industry deployments of our qubit efficient, hybrid quantum classical computing solutions, for real world optimization problems. The relevant use cases will be from logistics, energy, aviation and finance, sectors, all done in partnership with leading global corporations of these sectors. We will sketch the basic workings of our approach, allowing in certain cases up 200X improvements on the problem size solvable with current or near term quantum processors. If time, we will also present some examples of our ready to be deployed quantum software solutions and API offerings. – Prof Dimitris Angelakis, Founder, AngelQ and Principal Investigator, CQT |
| 03:30pm – 04:00pm | Tea Break |
| 04:00pm – 04:20pm | Towards Category Theory-Based Modeling for Large-Scale Quantum-Classical Optimization of Complex Enterprise Networks Fault-tolerant quantum computers hold the potential to efficiently solve certain computational problems that are intractable for classical computers. However, the pathway to translating this quantum advantage into practical real-world applications remains uncertain. In this talk, I will present our efforts at QTFT to bridge this gap, with a particular focus on large-scale optimization of complex enterprise networks (CENs) that encompass multiple inter-connected silos, such as supply chain networks, logistics networks, energy grids, and aviation systems. I will begin by addressing the common challenges associated with quantum optimization for CENs. Subsequently, I will explore how category theory can provide a robust framework for overcoming these challenges by enabling the modeling of CENs as systems of systems with reconfigurable interactions. – Mr Jirawat Tangpanitanon, CEO and Co-founder of Quantum Technology Foundation (Thailand) – QTFT |
| 04:20pm – 04:40pm | GPU-accelerated Quantum Emulation: Towards Accurate Quantum Chemistry Hybrid quantum-classical Adaptive Variational Quantum Eigensolvers (VQE) hold the potential to outperform classical computing for simulating quantum many-body systems. However, their practical implementation on current quantum processing units (QPUs) faces challenges in measuring a polynomially scaling number of observables during the operator selection so as to optimise a high-dimensional and noisy cost function. In this talk, I will present new results obtained with our in-house Hyperion-1 GPU-accelerated quantum emulator and explain how one can use it to perform fully adaptive-VQE (Variational Quantum Eigensolver) – large scale simulations – reaching the equivalent of hundreds of logical qubits. – Prof Jean-Philip Piquemal, CSO and Co-Founder, QubitPharma |
| 04:40pm – 05:00pm | Quantifying Quantum Advantage with an End-to-End Quantum Algorithm for the Jones Polynomial We present an end-to-end reconfigurable algorithmic pipeline for solving a famous problem in knot theory using a noisy digital quantum computer. Specifically, we estimate the value of the Jones polynomial at the fifth root of unity within additive error for any input link, i.e. a closed braid. This problem is DQC1-complete for Markov-closed braids and BQP-complete for Plat-closed braids, and we accommodate both versions of the problem. We demonstrate our quantum algorithm on Quantinuum’s H2 quantum computer and show the effect of problem-tailored error-mitigation techniques. Further, leveraging that the Jones polynomial is a link invariant, we construct an efficiently verifiable benchmark to characterize the effect of noise present in a given quantum processor. In parallel, we implement and benchmark the state-of-the-art tensor-network-based classical algorithms. The practical tools provided in this work allow for precise resource estimation to identify near-term quantum advantage for a meaningful quantum-native problem in knot theory. – Dr Konstantinos Meichanetzidis, Head of Scientific Product Development, Quantinuum |
| 05:00pm – 05:20pm | Quantum Computers Accelerating Supercomputing Workflows Quantum computers (QC) can significantly enhance high-performance computing (HPC) as accelerators with unique capabilities for solving challenging chemistry, materials science, and optimization problems. Hybrid HPC+QC system offers unique advantages that neither classical nor quantum simulations can achieve independently. Our collaboration between IQM, a leading quantum hardware company, and the Leibniz Supercomputing Centre (LRZ), a premier HPC center, has demonstrated practical integration of quantum and classical resources. In this talk, we discuss how researchers from University College London, were able to conduct multiscale molecular simulation, where Quantum-Selected Configuration Interaction (QSCI) is employed to investigate proton transfer in interacting water molecules. We present the details of our technical implementation, including hardware and software requirements, networking and selection of the appropriate space to house the quantum computer. We also discuss how QC can be integrated with minimal disruption into HPC workflows and the benefits of on-prem QC. – Dr Hermanni Heimonen, Head of Product, IQM Quantum Computers |
| 05:20pm – 05:40pm | Potential and Challenges of Quantum Transformer Architectures for Bioinformatics Applications Generative machine learning methods such as large-language models are revolutionizing the creation of text and images. While these models are powerful they also harness a large amount of computational resources. The talk revisits transformer architectures under the lens of fault-tolerant quantum computing. The talk discusses potential input and output models, and quantum subroutines for the main building blocks of the transformer, including attention computation, residual connections, layer normalization, and the feed-forward neural networks. We discuss the potential and challenges for obtaining a quantum advantage with an eye on classification tasks in bioinformatics. – Asst Prof Patrick Rebentrost, Principal Investigator, Centre for Quantum Technologies |
| 05:40pm | Closing |
