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This review article aims to provide an overview of superconducting magnetic quantum sensors and their applications in the biomedical field, particularly in the neurological field. These quantum sensors are based on superconducting quantum interference devices (SQUIDs), the operating principles of which will be presented along with the most relevant characteristics. Emphasis will be placed on the magnetic flux and magnetic field noise, which are essential for applications, especially brain investigations requiring ultra-high magnetic field sensitivity. The main configurations of SQUID magnetometers used for highly sensitive applications will be shown, stressing their design aspects. In particular, the configurations based on the superconducting flux transformer and the multiloop will be explained. We will discuss the most critical application of SQUID magnetometers, magnetoencephalography, which measures the weak magnetic signals produced by neuronal currents. Starting from the realization of a multichannel system for magnetoencephalography, we will present an accurate comparison with recent systems using optically pumped magnetometers. Finally, we will discuss the main clinical applications of magnetoencephalography.
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http://dx.doi.org/10.3390/s25154625 | DOI Listing |
Nano Lett
September 2025
Institute of Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Ampere-level electrocatalytic nitrate reduction to ammonia (eNRA) offers a carbon-neutral alternative to the Haber-Bosch process. However, its energy efficiency is critically hampered by the inherent conflict between the reaction and diffusion. Herein, we propose a reaction-diffusion-coupled strategy implemented on a well-tailored CuCoNiRuPt high-entropy alloy aerogel (HEAA) to simultaneously realize energy barrier homogenization and accelerate mass transport, endowing ampere-level eNRA with a high energy efficiency.
View Article and Find Full Text PDFNature
September 2025
TUM School of Natural Sciences, Physics Department, Technical University of Munich, Garching, Germany.
Out-of-equilibrium phases in many-body systems constitute a new paradigm in quantum matter-they exhibit dynamical properties that may otherwise be forbidden by equilibrium thermodynamics. Among these non-equilibrium phases are periodically driven (Floquet) systems, which are generically difficult to simulate classically because of their high entanglement. Here we realize a Floquet topologically ordered state theoretically proposed in ref.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
View Article and Find Full Text PDFPhys Rev Lett
August 2025
University of Zürich, Department of Physics, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
We present the first results from the Quantum Resolution-Optimized Cryogenic Observatory for Dark matter Incident at Low Energy (QROCODILE). The QROCODILE experiment uses a microwire-based superconducting nanowire single-photon detector (SNSPD) as a target and sensor for dark matter scattering and absorption, and is sensitive to energy deposits as low as 0.11 eV.
View Article and Find Full Text PDFInorg Chem
September 2025
Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan.
We report the structural, electrical, and magnetic properties of the organic conductor κ-(BEST)Cu(CN) (BEST: bis(ethylenediseleno)-tetrathiafulvalene; abbreviated as κ-BEST-CN), which is isostructural with the quantum spin liquid candidate κ-(ET)Cu(CN) (ET: bis(ethylenedithio)tetrathiafulvalene; abbreviated as κ-ET-CN). Resistivity measurements demonstrate that κ-BEST-CN exhibits semiconducting behavior, governed by the same conducting mechanism as κ-ET-CN. Under a pressure of ∼0.
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