We're excited to host you all at Q2B Tokyo in 2026!

In the JHPC-quantum project, we aim to realize utility-scale quantum–HPC hybrid computing by deploying on-premises quantum computers, IBM’s superconducting quantum computer “ibm_kobe” and Quantinuum’s trapped-ion quantum computer “Reimei.” We have built the JHPC-quantum platform, which enables these quantum systems to be integrated with supercomputers such as Fugaku. Using this platform, we have achieved results approaching practical applicability in quantum chemistry applications, and the Test User Program (TUP), designed for external users to evaluate and utilize the platform, is already underway, with 21 projects currently in progress.

We present Quantum Machines' Open Acceleration Stack, a modular framework integrating Quantum Machines’ hybrid controller with a flexible choice of classical accelerators, including GPUs, CPUs, FPGAs, and superchips, at microsecond latencies. The stack is designed around a key principle: the quantum program itself orchestrates classical compute resources, enabling intelligent and dynamic distribution of workloads across the full quantum-classical system. We demonstrate the Open Acceleration Stack through real use cases spanning closed-loop calibration on real qubits and error-corrected quantum algorithms, showing how the framework adapts to the demands of each workload in practice. This modular, open approach provides a concrete and scalable path to the integrated quantum-classical systems that fault-tolerant quantum computing demands.

As quantum hardware teams race toward fault tolerance, a critical bottleneck has emerged: designing and validating the architecture that turns thousands of noisy physical qubits into reliable logical ones. Plaquette is an industry-grade design-automation software platform that gives hardware teams instant access to a comprehensive library of quantum error-correction codes, state-of-the-art decoders, and a suite of proprietary simulators capable of capturing 20+ realistic error sources: including leakage, mode heating, and coherent errors, across superconducting, trapped-ion, neutral-atom, spin, and photonic platforms. Plaquette enables rapid architecture exploration and optimization, helping teams identify paths to commercially relevant fault tolerance years sooner than in-house approaches.

At the previous Q2B Tokyo, we outlined our business trajectory and product roadmap. Since then, we have made significant progress both technologically and commercially. In this session, we will highlight key product developments and our growing presence and partnerships across APAC.

Quantum computing will not merely break encryption—it will redefine digital trust. The real challenge is not adopting post-quantum algorithms, but engineering confidence across the entire communication stack—from photonic links and QKD systems to AI-native cloud and 6G infrastructures. This talk challenges the industry to move beyond compliance-driven migration and toward performance-validated quantum resilience. We will explore how PQC, QKD, and hybrid architectures can be continuously tested, measured, and optimized at scale—transforming quantum risk into a competitive advantage.

"Hamiltonian dynamics have been widely implemented on NISQ devices in recent years. In contrast, experimental demonstrations of Markovian quantum process dynamics remain limited because implementing non-unitary evolution on quantum computers is challenging. Quantum collision models provide a natural approach by coupling the system to ancillas to realize dissipation. However, previous implementations of quantum collision models on quantum computers have typically been restricted to 1 or 2 system qubits and fewer than 10 time steps due to noise, circuit depth limitations, overhead of ancilla reset, and limited qubit resources. This case study will share results where a team of RIKEN and Q-CTRL members realized up to 7 system qubits with nonlocal dissipation for 40 time steps by applying different ancilla strategies for both trapped-ion and superconducting platforms. Our results show that even for the same physical model, different strategies should be chosen for different types of quantum computers according to their properties."

This case study presents the development and active implementation of a post-quantum cryptographic (PQC) migration framework tailored for healthcare networks and industrial IoT environments. Grounded in over two decades of applied research in lattice-based cryptography and IoT security architecture, the framework addresses real-world engineering challenges in migrating constrained operational systems to NIST-finalized standards like ML-KEM (FIPS 203) and ML-DSA (FIPS 204). Healthcare and industrial IoT were identified as urgent-priority sectors due to their long data retention obligations and extended device deployment lifetimes, making them acutely vulnerable to harvest-now-decrypt-later threats. The framework adopts a crypto-agile, phased migration methodology incorporating hybrid ML-KEM/ECDH constructions, post-quantum authenticated boot chains for edge nodes, and a structured cryptographic surface audit process. The underlying research has accumulated over 5,000 citations, with active institutional engagement underway across the region.

Quantum computing is rapidly evolving from a purely academic field into a technology with real potential for industry. In this presentation, we will introduce Classiq’s approach to quantum software development, enabling the design, optimization, and deployment of quantum algorithms at a high level of abstraction. The session will combine an overview of the quantum computing stack with concrete demonstrations of how quantum algorithms can be built efficiently and adapted to real-world constraints.

Photonic quantum computers possess unique advantages not found in other hardware platforms and have made remarkable progress in recent years through unconventional strategies. In Japan as well, significant advances have been achieved, including the development of prototype machines and the establishment of related startups, drawing considerable attention. In this talk, I will introduce the principles and current research trends of photonic quantum computing, as well as our original “loop-based photonic quantum computer” towards large-scale implementation.

We will present Fujitsu’s research and development efforts toward the practical realization of quantum computing. The talk will also highlight the latest research outcomes on the STAR architecture, jointly developed by Fujitsu and the University of Osaka.

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.

Deloitte Tohmatsu’s quantum projects bring together a diverse team of experts, including researchers and consultants from various industries, to seamlessly drive initiatives ranging from use case development and ecosystem building to business creation support. In this session, we will share the results of our research in areas such as drug discovery and materials development, as well as discuss key actions companies should take to create new quantum businesses.

This lecture presents SoftBank’s vision for next-generation social infrastructure, shaped by advanced AI computing platforms integrated with quantum and HPC. As generative AI drives rapid growth in compute demand and energy use, sustainable, efficient infrastructure becomes critical. We outline the direction and societal value of an integrated platform optimizing computational resources.

In the field of engineering simulations, it is essential to generate and analyze vast amounts of CAE/CFD data with both high speed and accuracy. This presentation will introduce a recent use case from a joint research project between Quemix and SCSK, showcasing high-speed, high-precision readout of simulation data for a practical CFD benchmark.

This presentation will go over some of the 2025 and 2026 activity in terms of market trends in the quantum sector, we will explore use-cases for quantum technologies spanning sensing, comms and computing, as well as hardware roadmaps and geopolitical driving forces that accelerate or slow adoption of quantum in industry verticals.

Horizon Quantum has developed a real-time execution workflow by integrating the Triple Alpha platform with the OPX1000 control system. In this setup, a Hydrogen program is compiled into a single QUA program that supports control flow, mid-circuit measurements, and concurrent classical operations, allowing expressive program behavior beyond standard circuit models. It runs natively on the OPX1000 without requiring partial recompilation, ensuring efficient real-time performance. We also show end-to-end deployment through Triple Alpha, providing seamless execution from program definition to hardware execution.

"-We will present Qunova's HI-VQE Chemistry, a hybrid quantum-HPC algorithm that has achieved the world's first quantum advantage. It is currently used by 6 major scientific organizations. We will showcase its key use cases and demonstrate how it enables industrial quantum advantage in today's NISQ environments. -Furthermore, we will introduce our broader portfolio of quantum advantage algorithms, along with use cases and PoC opportunities applicable to drug discovery, materials science, logistics, finance, and CFD problems."

This presentation will highlight Denmark’s national quantum strategy and its focus on accelerating commercialization and scaling capabilities. It will showcase recent initiatives – particularly strong public-private partnerships and deep international collaboration – that connect research, industry, and capital to accelerate market adoption and ecosystem growth. This session will highlight concrete opportunities for international partners, companies and investors to engage, collaborate, and grow within Denmark’s fast-growing quantum ecosystem.

The primary challenge was the trade-off between location registration and paging signals reducing one typically increases the other. Additionally, the number of possible base station combinations grows exponentially, making it computationally impossible for conventional computers to find an optimal balance between these competing network loads.