We're excited to host you all at Q2B Tokyo in 2025!

The status of the Quantum Initiative at the University of Tokyo is briefly described. UTokyo drives QuantumTech by establishing an open quantum testbed and integrating fundamental research on quantum-hybrid technologies with applied research.

Quemix is dedicated to developing practical and impactful quantum algorithms that have the potential to become industry standards. Our focus lies in quantum chemistry, computer-aided engineering (CAE), and machine learning—areas where quantum computing is expected to deliver real-world value in the near future. In this keynote, we will present the latest outcomes of our research and development efforts, highlight the significance of these results, and discuss the technical challenges we face. Through concrete examples, we will also share our vision for the road ahead as we move toward the practical deployment of quantum computing.

We present the SQAI project, which aims to establish a sustainable quantum AI infrastructure by seamlessly integrating quantum computers and high-performance computing (HPC). This presentation highlights recent advancements in quantum machine learning, quantum simulation, quantum optimization, and hybrid quantum–classical computing, focusing on state-of-the-art research in quantum embedding based on tensor network representations.

Realizing the full benefits of quantum computing requires the development of large-scale, fault-tolerant quantum computers, where photonics emerges as the most promising approach to accomplish this objective. One of the major hurdles in realizing large-scale photonic quantum computers lies in the generation of single photons and entangling gates. Quantum Source has developed a unique solution that significantly outperforms conventional methods in terms of efficiency, enabling the development of quantum computers with millions of qubits operating at room temperature.

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We are conducting JHPC Quantum project to design and build a quantum-supercomputer hybrid computing platform by integrating different kinds of on-premises quantum computers, IBM superconducting quantum computer and Quantinuum trapped-ion quantum computer, with several supercomputers including Fugaku. We are aiming at utility-scale quantum-HPC hybrid computing using our JHPC Quantum platform. The overview and current status of the JHPC Quantum project with a perspective of quantum HPC hybrid computing will be presented.

As we approach utility-scale quantum computations which cannot be verified classically, solutions for cancelling noise and errors and ensuring guaranteed accuracy are becoming increasingly important. Qedma's Error Suppression and Error Mitigation product "QESEM" [1] is a comprehensive platform for eliminating noise in quantum circuits, empowering users to achieve error-free results on circuits of unrivaled complexities using today's quantum hardware. In this talk, we will showcase QESEM's robust capabilities across a range of applications, including high-energy physics, fluid dynamics, quantum chemistry and quantum machine learning. We will demonstrate how HPCs can be efficiently integrated with quantum computers powered by QESEM to perform quantum-enhanced classical simulations of long-time dynamics in quantum many-body systems. We will present results demonstrating the quantum advantage yielded by this integration, expanding the frontier of what even the most powerful classical HPCs can accomplish. [1] QESEM can be accessed as a Qiskit Function (https://docs.quantum.ibm.com/guides/qedma-qesem).

In 2025, QuEra delivered its second-generation gate-based quantum computer to Japan's National Institute of Advanced Industrial Science and Technology (AIST), marking a significant advancement towards building scalable and practical quantum systems. Furthermore, QuEra leads forefront of fault-tolerant technology by achieving break-even performance in Magic State Distillation. This presentation will explore how QuEra leverages AI-driven innovation to advance quantum systems and discuss the efforts toward realizing quantum computers that integrate fault tolerance, scalability, and practicality.

Although quantum security technologies already can be applied for the long-term protection of valuable assets, current level of their implementation enables limited support for building quantum ready enterprise security systems. This presentation describes: + implementation of specific uses cases where we were able to successfully apply both QKD and PQC for securing data and processes. + integration of quantum security solutions into the enterprise infrastructure. + challenges we encountered along the road and how we addressed them. + rationale for the custom implementation of the hybrid of the key management system (KMS).

Diamond quantum technologies are differentiated by the diversity of their applications across sensing, computing and communications and potential to deliver miniaturized mass-deployable devices to mass markets. Over the last 5 years, there has been a dramatic growth of the diamond quantum industry and an acceleration of the technology. Key to the future of diamond quantum technologies is the development of the integrated diamond quantum chip, which is the core focus of Quantum Brilliance and a profound opportunity for Japan.

On-premise quantum computers provide organizations with complete control over data, security, latency, and system customization—enabling sensitive computations to be executed locally without depending on external cloud services. This talk explores how dedicated access to quantum hardware supports local quantum ecosystem, accelerates research and development, supports workforce training, ensures regulatory compliance, and allows seamless integration with existing IT infrastructures.

Quantum clocks and sensors can provide highly precise timing and navigation in GPS-denied environments, but their widespread adoption is hindered by technical, economic, and policy bottlenecks. This presentation will examine strategies for governments to accelerate the development and deployment of quantum sensors to bolster national security applications in defense and critical infrastructure.

Quantum Ain’t Magic: it takes more than cool hardware and clever algorithms to make quantum computers useful. In this talk, I’ll walk through what it actually takes to tackle a real, high-impact application in healthcare—using quantum computing to accelerate photodynamic therapy for cancer treatment. A behind-the-scenes case study in doing the hard stuff to make quantum matter.

Poor performance of flux-based 2-qubit gates in commonly used tunable superconducting qubits is quite prevalent across the industry. The Quantum Machines team were unable to identify why their QPUs were unable to reach the expected 2Q gate performance levels based on the qubit and control stack specifications. The Qruise team used the extensive modelling and learning capabilities of the QruiseML software which works closely with the Quantum Machines qua-based experiment control stack to create a very accurate digital twin that combines data from the QPU with a physics based model of the system. This differentiable digital twin then made an accurate diagnosis of the misidentified QPU & control parameters, which once fixed produced up to 50% improvement in 2-qubit gate performance.

In this talk, we will present our research collaboration with industry and academic partners on integrating Artificial Intelligence (AI) and Quantum Computing (QC) for materials discovery. Specifically, we will introduce a new AI-QC workflow designed to accelerate materials discovery by leveraging the strengths of both technologies.

This presentation focuses on use cases for Quantum Technology and on Q-STAR’s continuing efforts to advance the industrialization of quantum technology.

Quantum computing (QC) has the potential to revolutionize medicine. However, how QC can be applied to important medical challenges remains unclear. Herein we map the problem of designing therapeutics against multidrug-resistant organisms (MDROs) onto a quantum circuit and develop a hybrid classical-quantum algorithm to accelerate and improve design of probiotics and prebiotics against MDROs. By dramatically improving the speed and efficacy of development of biotherapeutics for MDROs we aim to promote global health in the post-antibiotic era.

GQI has created an extensive data base consisting of hundreds of potential applications for quantum computing showing where this technology could be used. We have classified these use cases according to a number of different attributes including industry, problem area, algorithm, speedup potential, performance requirements, potential market size, etc. This presentation will provide a summary of our findings from this study.

We aim to realize quantum-classical hybrid applications by combining quantum computing technology with existing optimization and other techniques. As one of the examples, we will introduce a catalyst development scheme that involves exploring the surface structure of a material using quantum Fourier transform, followed by adsorption simulation on the surface using a quantum-inspired optimization technique, and complements these results with classical calculations. Co-authored with Prof. Yasushi Sekine, Waseda University.

Exploring the prospects and challenges of establishing an ecosystem for the creation of quantum market.

Matsushita, President & CEO of Quemix, who has been consistently leading algorithm development for fault-tolerant quantum computing (FTQC) since the company's founding; Kekke, Representative Director, CEO (Japan) of Quantinuum, a global leader in commercializing ion-trap QC and FTQC technologies; and Okubo of SQAI, who is advancing the development of hybrid computing algorithms that integrate quantum computing and high-performance computing (HPC) through the use of tensor networks— These three experts will come together to examine Japan's current position in the global quantum computing landscape. They will also provide an overview of the current state of practical quantum computing and discuss the outlook for achieving quantum advantage, including the challenges and distance that remain.

We will introduce low-noise DC power supplies, low-noise voltage/current sources, and low-noise amplifiers that support quantum computing. By utilizing analog circuit technologies, we have achieved excellent low noise performance.

In the field of materials exploration, it is essential to analyze the vast amounts of experimental data generated with both high speed and accuracy. This presentation will introduce a recent use case from a joint research project between Quemix and Honda R&D Co., Ltd., showcasing high-speed, high-precision experimental spectrum analysis performed using an actual quantum computer.

This talk will provide an overview of Japan’s emerging quantum innovation ecosystem, focusing on how G-QuAT plays a key role in connecting stakeholders and the government, as well as the trends in global industry-academia collaboration. It will also cover how you can leverage G-QuAT as a platform to foster international partnerships and incubation.

As momentum builds for silicon based quantum systems, this talk will update on the latest developments on including increasing qubit fidelity and qubit count, advancements in cryo CMOS controller chip including ARM core at 300mK and the first silicon rack-mounted quantum computer launched in March 2025 Bell-1.

As quantum computing progresses toward real-world impact, ensuring industry and government readiness is paramount. This talk explores lessons from the UK’s National Quantum Computing Centre (NQCC), highlighting key strategies for fostering adoption, identifying and addressing barriers, and aligning quantum capabilities with end-user needs to build a resilient quantum ecosystem.

Quantum for Bio (Q4Bio) is a $50M challenge program supported by Wellcome Leap, aimed at accelerating the application of quantum computing to human health. Designed to drive rapid, measurable progress, Q4Bio unites leading experts in quantum hardware, algorithms, and life sciences to address pressing problems in healthcare through a milestone-based model. This talk will present the program’s vision, highlight its distinctive challenge structure, and share high-level updates on the progress, early results, and emerging breakthroughs from participating teams.

This presentation delves into the evolving landscape of quantum technology, examining its transformative potential and the challenges that lie ahead. It provides a comprehensive overview of recent breakthroughs, real-world applications, and their implications across various industries. Additionally, it explores emerging research directions and future prospects, shedding light on the trajectory of this rapidly advancing field.

QuEra’s 256-qubit analog-mode quantum computer Aquila has been available to the world since 2022 via an Analog Hamiltonian Simulation (AHS) service through Amazon Braket. It remains the only publicly accessible quantum computing service based on the neutral atom qubit technology, and among the most available and most reliable quantum devices on the cloud. This has enabled numerous use case studies spanning various customers and industries, and here we will highlight automotive, banking and HPC. In the meantime, QuEra is expanding its offerings into digital-mode quantum computing and on-premise HPC integration, both launching in 2025 with the next-generation machine at AIST in Japan.

Quantum Extreme Learning Machines (QELMs) adapt classical extreme learning machines for quantum computing, offering faster training with fewer features and potentially improved accuracy. This talk presents the applications of QELMs in an industrial caseand two real-world systems from the Norwegian public sector (Cancer Registry and Oslo City). It also discusses challenges, future research directions, and other planned applications.

Tensor networks, representing quantum states as connections of tensors, have the potential to efficiently express a wide range of quantum states. By combining such tensor network representations with Born machines that express various classical probability distributions as quantum states, we can develop generative models utilizing tensor networks. In this presentation, we will introduce examples of generative models based on tensor networks, their embedding into quantum circuits, and the activities of the Endowed Chair of Quantum Software at the University of Tokyo.

We will introduce Deloitte Tohmatsu's efforts in research, ecosystem creation, and industry support. Among these, we will present specific examples of quantum circuit compression and algorithm research in the field of chemistry, which are expected to be challenging in the era of FTQC.

Q-CTRL’s Fire Opal helped Mitsubishi Chemical Corporation set new records for performance in quantum chemistry using quantum phase estimation (QPE). This case study introduces a quantum algorithm for energy gap estimation in materials, leveraging a quantum phase difference estimation (QPDE) approach and tensor network-based unitary compression. It aims to improve the efficiency of QPE by reducing gate overheads, which is crucial for large-scale simulations.

In this talk, we will present examples of research initiatives on quantum algorithms undertaken at the SoftBank research lab. Additionally, we will discuss our collaborative project with RIKEN on the development of a quantum-supercomputers hybrid platform.

OpenQase bridges the gap between quantum computing theory and practical business implementation through a comprehensive knowledge platform featuring structured learning paths, case studies, and interactive resources. This presentation introduces the platform's architecture and content organization designed to serve diverse stakeholders—from business leaders to technical practitioners—each following personalized journeys via persona-based, industry-specific, or algorithm-focused navigation. I will demonstrate how OpenQase democratizes quantum computing knowledge while providing actionable insights for organizations seeking to implement quantum solutions across various industries.

The semiconductor quantum computer is highly anticipated for the future due to the compatibility of its qubit fabrication process with conventional semiconductor manufacturing technologies. This talk will revie the key features of qubit devices, the current development status, and the forthcoming challenges.