IAMS Upcoming Activities 原分所學術演講活動
消息來源：原分所
截止日期：2026-08-26
1.IAMS Lecture
中研院原分所演講公告
| Title | Massively Multiplexed Nanoscale Magnetometry with Diamond Quantum Sensors towards Multi-modal Sensing of Superconductivity |
| Speaker | Mr. Kai-Hung Cheng Princeton University |
| Time | 10:30 AM, June 29 (Monday), 2026 |
| Venue | C. T. Chang Memorial Hall (NTU Campus), IAMS 本所張昭鼎紀念講堂（臺大校園內） |
| Contact | Dr. Ying-Cheng Chen |
| Abstract | Nitrogen vacancy (NV) centers in diamond enable both microscopic DC magnetometry and magnetic noise sensing at multiple frequency bands spanning the MHz and GHz range, making them powerful probes of material systems. A particularly complex family of materials are the cuprate superconductors, which exhibit high critical temperatures, large anisotropy, and abundance of defects, leading to rich superconducting vortex phase structure. In this presentation, I will first introduce the multiplexed NV magnetometry systems that we design and build for condensed matter sensing using both single, resolvable NV centers and dense ensemble of NV centers. The new platforms allow us to parallelize NV spin measurements as well as to sense non-local correlated magnetic field fluctuations. Next, I will describe how we apply multi-modal magnetometry with NV centers to study both the static field and magnetic noise of the cuprate superconductor, optimally doped Bi2Sr2CaCu2O8+x, across a wide temperature range. We image many individual superconducting vortices, which allows us to track their motion in real time and to quantitatively analyze their ordering. In the vortex solid phase, we measure the change of vortex crystallinity as function of temperature and observe thermally- activated vortex depinning, which is corroborated by measuring enhanced magnetic noise at higher temperatures. This result demonstrates that superconducting vortices produce magnetic field fluctuations, and highlights the ability of multi-modal magnetometry to illuminate complex dynamics in cuprate superconductors. Future directions include correlated noise spectroscopy in the vortex phase to further understand the nature of the vortex-related fluctuations. |
2.IAMS Lecture
中研院原分所演講公告
| Title | Understanding, Controlling, and Learning from Quantum Systems |
| Speaker | Prof. Cheng Chin University of Chicago 金政教授 芝加哥大學 |
| Time | 10:30 AM, July 10 (Friday), 2026 |
| Venue | Dr. Poe Lecture Hall, IAMS 本所浦大邦紀念講堂（臺大校園內） |
| Contact | Dr. Hsiang-Hua Jen 任祥華博士 |
3.IAMS Lecture
中研院原分所演講公告
| Title | Bridging Quantum Photonics and Intelligence: Toward Next-Generation Quantum Technology |
| Speaker | Prof. Bo-Han Wu (吳柏翰) University of Hawaiʻi at Mānoa |
| Time | 10:30 AM, July 13 (Monday), 2026 |
| Venue | C. T. Chang Memorial Hall (NTU Campus), IAMS 本所張昭鼎紀念講堂（臺大校園內） |
| Contact | Dr. Ying-Cheng Chen |
| Abstract | Quantum technologies are transforming the fields of sensing, communication, and computing by harnessing uniquely quantum resources such as coherence, entanglement, and squeezing. Among the various physical platforms, photonics provides a promising pathway toward integrating these capabilities within a scalable and deployable architecture. In this talk, I will provide an overview of continuous-variable quantum photonics and its applications across quantum sensing, communication, and computing, highlighting recent advances toward scalable quantum photonic systems, including our work on integrated squeezed-light generation and large-scale photonic quantum information processing. I will then discuss the emerging role of artificial intelligence in quantum technologies, where machine learning can assist in the design, control, optimization, and characterization of increasingly complex quantum systems. As an example, I will present the Microring Perceptron (MiRP), a photonic machine-learning architecture that combines analog optical processing with data-driven inference. Finally, I will discuss future opportunities at the intersection of quantum photonics and artificial intelligence, where the co-design of hardware and algorithms may enable a new generation of intelligent quantum technologies. |
4.IAMS Lecture
中研院原分所演講公告
| Title | Neural Computations Underlying Polarization Vision in Cephalopods |
| Speaker | Dr. Tomoyuki Mano Computational Neuroethology Unit , Okinawa Institute of Science and Technology |
| Time | 11:00 AM, August 26 (Wednesday), 2026 |
| Venue | C. T. Chang Memorial Hall (NTU Campus), IAMS 本所張昭鼎紀念講堂（臺大校園內） |
| Contact | Dr. Chia-Lung Hsieh |
| Abstract | Underwater environments prominently feature a dimension of light invisible to our own eyes, polarization. Cephalopods (octopus, cuttlefish and squid) detect polarization with both high sensitivity and resolution, skillfully utilizing it for complex behaviors such as hunting and communication. However, the neural mechanisms for encoding patterns of light polarization remain poorly understood. Using the bigfin reef squid (Sepioteuthis lessoniana), we developed a new head- fixation method to perform two photon calcium imaging in awake squid, providing the first in vivo recordings of the cephalopod visual system at cellular resolution. In the optic lobe cortex, the brain region receiving input from retinal photoreceptors, we identified distinct neuron classes defined by spatiotemporal tuning and light intensity vs polarization specificity, including (i) integrators of polarized photoreceptor inputs, (ii) neurons selective for a single polarization orientation, and (iii) neurons that subtract orthogonal polarization signals—together suggesting notable parallels with color coding in the vertebrate retina. Neuropixels recordings from downstream visual brain regions revealed evidence for hierarchical processing: receptive fields expanded with depth, and intensity and polarization signals were integrated with progressively greater complexity. Collectively, our study provides new insights into the neural computations underlying cephalopods’ specialized underwater vision and the convergent evolution of visual systems. |