Molecular entities with robust spin-1/2 are natural two-level quantum systems for realizing qubits and are key ingredients of emerging quantum technologies such as quantum computing. Here we show that robust and abundant spin-1/2 species can be created in the solid state from spin-active azafullerene CN cages supramolecularly hosted in crystals of [10]cycloparaphenylene ([10]CPP) nanohoops. This is achieved a two-stage thermally-assisted homolysis of the parent diamagnetic [10]CPP⊃(CN)⊂[10]CPP supramolecular complex. Upon cooling, the otherwise unstable CN˙ radical is remarkably persistent with a measured radical lifetime of several years. Additionally, pulsed electron paramagnetic resonance measurements show long coherence times, fulfilling a basic condition for any qubit manipulation, and observed Rabi oscillations demonstrate single qubit operation. These findings together with rapid recent advances on the synthesis of carbon nanohoops offer the potential to fabricate tailored cycloparaphenylene networks hosting CN˙ centers, providing a promising platform for building complex qubit circuits.
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http://dx.doi.org/10.1039/d1nr06393f | DOI Listing |
Phys Rev Lett
December 2024
Department of Physics, Technion-Israel Institute of Technology, Haifa 32000, Israel; Solid State Institute, Technion-Israel Institute of Technology, Haifa 32000, Israel; and The Helen Diller Quantum Center, Technion-Israel Institute of Technology, Haifa 32000, Israel.
Attosecond observations of coherent electron dynamics in molecules and nanostructures can be achieved by combining conventional scanning tunneling microscopy (STM) with ultrashort femtosecond laser pulses. While experimental studies in the subcycle regime are under way, a robust strong-field theory description has remained elusive. Here we devise a model based on the strong-field approximation.
View Article and Find Full Text PDFJ Xray Sci Technol
December 2024
Henan Key Laboratory of Imaging and Intelligent Processing, Information Engineering University, Zhengzhou, Henan, China.
Background: Coherent diffraction imaging (CDI) is an important lens-free imaging method. As a variant of CDI, ptychography enables the imaging of objects with arbitrary lateral sizes. However, traditional phase retrieval methods are time-consuming for ptychographic imaging of large-size objects, e.
View Article and Find Full Text PDFRev Sci Instrum
December 2024
SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA.
We describe the design and performance of a magnetic bottle electron spectrometer (MBES) for high-energy electron spectroscopy. Our design features a 2 m long electron drift tube and electrostatic retardation lens, achieving sub-electronvolt (eV) electron kinetic energy resolution for high energy (several hundred eV) electrons with a close to 4π collection solid angle. A segmented anode electron detector enables the simultaneous collection of photoelectron spectra in high resolution and high collection efficiency modes.
View Article and Find Full Text PDFFront Big Data
December 2024
School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, India.
Introduction: The rapid escalation of cyber threats necessitates innovative strategies to enhance cybersecurity and privacy measures. Artificial Intelligence (AI) has emerged as a promising tool poised to enhance the effectiveness of cybersecurity strategies by offering advanced capabilities for intrusion detection, malware classification, and privacy preservation. However, this work addresses the significant lack of a comprehensive synthesis of AI's use in cybersecurity and privacy across the vast literature, aiming to identify existing gaps and guide further progress.
View Article and Find Full Text PDFClin Ophthalmol
December 2024
Department of Cataract, Cornea and Refractive Surgery, Gomabai Netralaya and Research Centre, Neemuch, Madhya Pradesh, 458441, India.
In the dynamic field of ophthalmology, artificial intelligence (AI) is emerging as a transformative tool in managing complex conditions like uveitis. Characterized by diverse inflammatory responses, uveitis presents significant diagnostic and therapeutic challenges. This systematic review explores the role of AI in advancing diagnostic precision, optimizing therapeutic approaches, and improving patient outcomes in uveitis care.
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