Invited Talk

Quantum computers may enable the simulation of complex quantum systems and the solution of problems beyond the reach of conventional computers. A promising route to large-scale quantum computing is to connect smaller processors through photonic links. At NanoQT, we are developing such an interconnect using ytterbium atoms trapped in optical tweezer arrays and coupled to telecom-band nanofiber cavities. In this talk, I will introduce the principles of cavity-assisted entanglement generation, describe an architecture for scalable, error-corrected quantum computing, and present our recent experimental progress.

In this paper, a general control and readout framework that simultaneously and independently excites multiple eigenmodes superposed in a single resonator is reported. The method extends synchronous demodulation to a multidimensional modal space: displacements measured at multiple locations are projected onto in-phase and quadrature reference vectors constructed from each eigenmode. Spatial orthogonality rejects other eigenmodes even when their resonance frequencies are degenerate, while temporal orthogonality selects frequency and phase. The concept is demonstrated in two sensing systems. In an frequency modulation/rate-integrating gyroscope (FM/RIG), clockwise (CW) and counter-clockwise (CCW) modes are independently phase-locked, providing angular rate from their frequency difference and rotation angle from their phase difference. In a mode-localized resonator, in-phase (IP) and anti-phase (AP) modes are controlled simultaneously; perturbation-induced deviations of modal shape appear as periodic cross-mode interference, from which amplitude ratios and perturbations are extracted together with both resonant frequencies. The approach enables multimodal sensing and common-mode rejection using a single resonator.

Ball surface acoustic wave (SAW) technology utilizes multiple propagation of a SAW along a great-circle path on a spherical piezoelectric substrate, providing high sensitivity in a device only a few millimeters in diameter. This paper focuses on its application to an ultra-compact gas chromatograph (GC), integrating all essential functions into a handheld instrument. Its capability for on-site analysis is demonstrated by measurements of volatile organic compounds in air and aroma components in foods. Furthermore, continuous analysis of bioreactor exhaust gas revealed characteristic changes in chromatographic peaks associated with cell density and metabolism. These results demonstrate the potential of the ball SAW ultra-compact GC for on-site analysis and continuous, non-invasive monitoring of dynamic processes.

We introduce dielectric metasurfaces for wavefront shaping. Following a demonstration of full-color holographic 3-D display and efficient Gaussian-to-top-hat beam conversion, we propose utilizing metasurfaces to control blue-violet VCSEL arrays for laser fusion systems.

Electrochemical sensor arrays enable real-time and label-free visualization of chemical and biological processes. We have developed two complementary approaches for highly parallel electrochemical measurements: CMOS-based amperometric sensor arrays for direct electrical readout and bipolar electrochemical microscopy (BEM) for wiring-free optical readout through electrochemiluminescence (ECL). The CMOS-based Bio-LSI platform enables rapid, highly sensitive multipoint measurements and has been applied to various chemical and biological imaging targets. BEM eliminates individual wiring to each sensing site and enables dense electrode arrays with parallel optical readout. This presentation reviews the principles, device technologies, representative applications, and recent developments of these two microelectrode-array approaches for chemical and bioimaging.

Mobile odor sensing using electroantennogram (EAG) signals requires integrated design of the bioelectrode interface, low-noise signal acquisition, aerodynamic sampling, and vehicle control. This talk presents a compact EAG device based on male silkworm moth antennae, an odor-tracking drone integrating this device, and a water-retaining hydrogel electrode for prolonged recording. Together, these technologies provide design principles for deploying biological olfaction in dynamic environments.

This talk surveys our vascular microphysiological systems (MPS) and the real-time impedance monitoring integrated into them. After outlining the design rationale that separates two-dimensional (2D) from three-dimensional (3D) configurations, I present 2D-MPS of the renal proximal tubule and airway- and alveolus-on-chip models of viral infection. I then present 3D-MPS in which self-organized perfusable vasculature is coupled to a sarcoma model and to hiPSC-derived kidney organoids.

Electrical pulse treatment has been applied to enhance liberation in advanced recycling of various composite wastes. This study compares liberation behavior across different materials based on normalized electrical input energy and discusses the effects of discharge conditions and dominant separation mechanisms.

Semiconductor technologies are key enablers of the energy transition but also contribute to growing resource consumption and electronic waste. Sustainable electronics has traditionally relied on two complementary strategies: improving energy efficiency and promoting circularity through reuse, remanufacturing and recycling. We propose Functional Preservation as a third pillar of sustainable electronics, aiming to preserve the functional value embedded in semiconductor-based systems before recovering their constituent materials. Achieving this vision requires continuous knowledge of system health. We introduce Health Intelligence as the convergence of embedded sensing, virtual sensing, physics-based modelling and artificial intelligence to support informed lifecycle decisions. Rather than serving predictive maintenance alone, Health Intelligence enables electronic systems to preserve their functionality, adapt their operation, and maximize their useful lifetime, opening a new pathway toward sustainable electronics. Keywords: Functional Preservation, Health Intelligence, Sustainable Electronics

Flexible piezoelectric energy harvesters (PEHs) are attractive as compact self-powered sources for wearable electronic devices. In this study, we deposited piezoelectric Pb(Zr,Ti)O3 (PZT) thin films on thin stainless-steel foils by RF magnetron sputtering and applied them to card-type flexible PEHs. The 5.0-μm-thick PZT thin films with highly c-axis orientation were successfully prepared on 30 μm-thick stainless steel foils, and simply hand-bending the card with the PEHs generated a significant amount of power up to 177 μW.

High-temperature and radiation hardened electronics have been required for our human activities in space, accelerators, and nuclear power stations. For the extreme environment applications, we are developing silicon carbide (SiC) CMOS integrated circuits and CMOS image sensors. The SiC integrated circuits successfully worked at a high temperature of up to 500°C, and the SiC CMOS image sensors were demonstrated at high gamma-ray exposure of 5 MGy.

Rising temperatures can damage rice crops. Harvesting at optimal timing represents a key countermeasure that can mitigate heat damage. We attempted to establish a relationship between field-measured grain moisture content, which is an important indicator for harvest timing, and microwave satellite remote sensing data. Statistical analysis revealed that radar backscatter strengths exhibited a significant correlation with grain moisture content and leaf and tiller moisture content (R2 = 0.669), with grain moisture showing the highest variable importance. Our study indicates the great potential of satellite remote sensing observations for the estimation of rice grain moisture content within individual fields.

This study investigated individual broccoli detection using UAV photogrammetry and YOLOv5. Approximately 7-mm-resolution orthomosaics were generated for two plots with different plant-growth variability. We evaluated image-chip size, annotation size, image-chip sampling strategy, and training-data quantity. A 640 × 640-pixel chip size and annotations matching plant size provided stable detection. In the plot with substantial growth variation, approximately 630 plants stratified by growth conditions enabled detection of 95% of 21,277 plants. In the plot with relatively uniform growth, approximately 126 randomly selected plants enabled detection of 98% of 7,836 plants. These results indicate that training-data selection should reflect plant-growth variability.

Wildlife damage is an increasing concern in agricultural and forest landscapes in Japan. This paper presents three applications of UAV remote sensing for wildlife damage control: thermal detection of sika deer, repeated monitoring of their spatiotemporal distribution, and detection of crop damage. Repeated thermal UAV surveys showed clear temporal variation in deer detections. Following snowfall, the number detected at 16:00 decreased from 26 to three and subsequently increased as snow cover decreased. Mean numbers detected at 07:00, 12:00, and 16:00 were 0.5, 2.5, and 9.25, respectively. Repeated RGB UAV surveys detected newly occurring damage patches in a dent corn field. These results demonstrate the potential of repeated UAV observations for spatial and temporal monitoring of wildlife and associated damage.

Human–bear encounters have increased across Japan, highlighting the need for preventive measures to reduce human casualties. This paper introduces two data-driven approaches to human–bear conflict mitigation. The first predicts and visualizes bear encounter risk using historical encounter, environmental, and demographic data. The second investigates when and how preventive information should be communicated by analyzing bear encounter data and countermeasure videos. These studies illustrate how accumulated bear encounter data can be utilized in different ways to support data-driven prevention and risk communication.