Adrian Stoica

JPL will host a quantum hub workshop at Caltech from July 22-23 with universities, industry, and government sponsors. The purpose of the workshop consists of the followings: - Develop undergraduate and graduate-level curricula related to quantum technologies. - Establish a joint seminar series across participating institutions. - Offer internship opportunities to students. - Identify key facilities and equipment available within the quantum hub network. - Create a process for fostering partnerships to advance quantum technology. - Assess the expertise of hub members in the field of quantum technology. - Identify tangible benefits to industry for establishing “Quantum Valley” in Southern California region This workshop is supported by JPL Quantum Space Innovation Center.

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Quantum Breakthrough: Light Exhibits Hall Effect, Redefining Measurement and Photonics Introduction A landmark discovery shows that light—long thought exempt from certain quantum behaviors—can exhibit the quantum Hall effect. This finding extends a foundational principle of physics beyond electrons, opening new pathways in precision measurement and photonic technologies. Key Discovery Quantum Hall Effect in Light Traditionally observed in electrons under strong magnetic fields Produces quantized voltage steps tied to fundamental constants Now observed in photons as “quantized drift” Universal Behavior Effect is governed by constants like the Planck constant Independent of material imperfections or system design Confirms the phenomenon is a deeper property of nature, not limited to charged particles Scientific Breakthrough Photon-Based Observation First experimental evidence that light follows quantum Hall-like behavior Achieved through precise control of photonic systems Overcomes challenge that photons lack electric charge Measurement Revolution Quantum Hall effect already underpins global measurement standards Used to define electrical resistance and even the kilogram Extending this to light could enhance metrology precision further Applications and Implications Advanced Sensing Enables ultra-sensitive detection of deviations from quantum standards Potential for next-generation high-precision sensors Photonic Quantum Systems Improves control of light in quantum computing and communication Supports development of robust photonic circuits and devices Fundamental Physics Expansion Demonstrates quantum behaviors are more universal than previously thought Bridges gap between electronic and photonic quantum systems Conclusion: Why This Matters This discovery expands one of physics’ most important quantum effects into the realm of light, reinforcing the idea that fundamental laws can manifest across different particles in unexpected ways. By unlocking quantized control of photons, it lays the groundwork for breakthroughs in measurement science, sensing, and photonic quantum technologies—potentially reshaping both theoretical physics and practical engineering. I share daily insights with tens of thousands of followers across defense, tech, and policy. If this topic resonates, I invite you to connect and continue the conversation. Keith King https://lnkd.in/gHPvUttw

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As autonomous driving expands into public road networks, recent examples like the one described in the post below, again demonstrate a critical insight: vehicle intelligence alone is not enough — we need intelligent, responsive road side infrastructure to complement it. At DiMOS Operations GmbH, we are building exactly that. Our focus lies on infrastructure-supported automated driving, with a strong emphasis on external dependencies like Positioning, Navigation & Timing (PNT) and connectivity, which are vulnerable to jamming, spoofing, and outages. To address this, we are launching the first version of our Road Side Early Warning Service (EWS) within 2026, providing real-time PNT integrity monitoring and threat detection for highway vehicle operations. This is a key enabler for scalable, safe, and certifiable deployment of autonomous functions — both in commercial vehicles and passenger cars. #InfrastructureSupportedDriving #LEOPNT #PNT #Integrity #AutonomousDriving #ConnectedVehicles #SafetyOfLife

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For those of you at #AIAASciTech don't miss our paper on an open source photorealistic simulation and associated tools that help explore solutions to the collision avoidance problem, an area of active research in #Autonomy. The presentation is in Bayhill 28 at 3:30 p.m. by Michael Acheson You can find our paper at https://lnkd.in/eJ8ZqFZB Abstract: Autonomous collision avoidance (ACA) for aerospace systems is an area of active study within the autonomy research community. This problem consists of three consecutive subtasks: perception, prediction, and planning. Each of these sub-tasks are large, active fields of research on their own. For this reason, this team developed an open-source simulation frame work that enables the autonomy community to target ACA using a multirotor vehicle which must avoid moving baseballs. The Baseball Avoidance Multirotor (BAM) simulation framework uses MATLAB® and Simulink® with a multirotor dynamics model in combination with the high-fidelity photo-realistic and sensor simulation capabilities of Microsoft∗ AirSim or Colosseum with Unreal® Engine. The multirotor was selected as the aerospace vehicle due to its simple dynamics and control methodologies that are accessible, high precision, and well known within academia and industry. These features allow researchers to focus on one or more ACA subtasks without managing the more challenging aspects of vehicle control. This paper presents the BAM simulation and details a series of collision avoidance challenges provided with accompanying datasets. Results from BAM simulation experiments demonstrate collision avoidance with both an algorithm that combines Optimal Reciprocal Collision Avoidance (ORCA) with Bernstein polynomials, and a transformer-based replanning method

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Integrating Thermodynamic Sampling Units into QMHP-CoPro Architecture: A Unified Framework for Probabilistic and Quantum-Hybrid Computing Executive Summary The trajectory of high-performance computing (HPC) is currently navigating a critical bifurcation point defined by the asymptotic limits of Moore’s Law and the thermodynamic constraints of the von Neumann bottleneck. As artificial intelligence workloads shift from discriminative models to generative, energy-based architectures, the deterministic paradigm of traditional silicon—which expends vast energy to suppress thermal noise only to simulate probabilistic distributions via pseudo-random number generation—is proving increasingly untenable. Concurrently, the quantum computing (QC) sector faces a formidable "validity gap" where the theoretical promise of quantum supremacy is bottlenecked by the practical realities of error correction, cryogenic control latency, and the inability to scale logical qubits without prohibitive thermal overheads. #ThermodynamicComputing #QuantumComputing #TSU #QMHPCoPro #HPC #DeepTech

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Exciting sodium-ion battery breakthroughs! UC San Diego & Unigrid Battery's tin-based anode hits 178 Wh/kg—beating lithium iron phosphate—retaining 90% capacity after 100 cycles. It reorganizes for uniform sodium distribution, cutting degradation. University of Chicago's solid-state version works from room temp to freezing, with 10x higher ionic conductivity via stabilized sodium hydridoborate. Sodium's $0.05/kg vs. lithium's $15/kg makes it a cheap, sustainable alternative for EVs and grid storage. Thoughts on sodium tech? Comment below! #BatteryInnovation #SustainableEnergy #EVFuture #EnergyStorage

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