Samudrapom Dam

Black Hole Optimization Enhances IoT Attack Detection

Researchers proposed a novel cooperative approach using black hole optimization (BHO) and convolutional neural networks (CNN) for detecting attacks in IoT networks. This method improved intrusion detection accuracy to 99.89% on NSLKDD and 97.72% on NSW-NB15 datasets, leveraging feature selection and majority voting among subnet controllers for enhanced security and reduced communication overhead.

Quantum Computing Enhances Drug Discovery

Researchers have developed a hybrid quantum computing pipeline to tackle real-world drug discovery challenges. This approach improves molecular dynamics simulations and reaction barrier computations, providing valuable insights into prodrug activation and covalent inhibitor interactions, potentially revolutionizing cancer treatment development.

Single Image Revolutionizes Camera Quantum Efficiency Determination

Breakthrough in Quantum Computing with On-Chip Microwave Generator

In a significant development for large-scale superconducting quantum computing, researchers have demonstrated a coherent on-chip cryogenic microwave pulse generator, overcoming key scaling challenges. This innovation, detailed in Nature Communications, integrates qubits and control electronics, reducing heat load and improving signal management, crucial for fault-tolerant quantum computing with millions of qubits.

Accurate Camera Calibration with Streamlined QEC Estimation

Researchers have developed a technique to estimate quantum efficiency curves (QECs) for cameras using a single photograph, overcoming noise sensitivity issues inherent in previous methods. This approach, utilizing ultra-narrow band-pass interference filters, ensures stable and accurate QEC reconstruction, significantly speeding up the calibration process for camera manufacturers and photographers.

Quantum Theory Explains LNL Conductivity Oscillations

Researchers propose a quantum mechanical theory for the Lee-Naughton-Lebed (LNL) angular oscillations in moderately strong electric fields, expanding on Kobayashi et al.'s findings in $\alpha$-(ET)2-based organic conductors. The study introduces Equation (25) to describe the splitting of LNL conductivity maxima, demonstrating its validity for lower voltages and its general applicability to quasi-one-dimensional conductors.

Tunable Quantum Emitters on Photonic Circuits

Researchers developed a platform for integrating tunable single photon emitters into large-scale photonic integrated circuits, enhancing quantum information processing capabilities.

Coherent Spin Qubit Shuttling in Germanium Quantum Dots

Researchers have demonstrated the coherent shuttling of spin qubits through germanium (Ge) quantum dots, crucial for fault-tolerant quantum computing. By successfully shuttling hole spin qubits in a Ge quantum dot array, this study shows the feasibility of integrating quantum links in quantum circuits, advancing networked quantum computing.

Quantum Simulators: A Step Towards Quantum Advantage

Researchers have developed an approach using noisy intermediate-scale quantum (NISQ) devices to simulate multi-dimensional condensed matter systems, leveraging digital NISQ hardware for high-accuracy measurements on IBM superconducting quantum processors.

Mitigating Microwave Phase Noise in NV Sensors

Researchers submitted a paper exploring microwave phase noise's impact on nitrogen vacancy (NV) sensors. They developed numerical models and experimental methods, including two-point gradiometry, achieving significant phase noise suppression, crucial for high-precision NV-based measurements in magnetometry and spectroscopy.