Science & Technology MCQs

NISQ (Noisy Intermediate-Scale Quantum) is the widely accepted term for the current generation of quantum computers, characterized by their limited qubit count and susceptibility to noise and errors, which prevents full error correction.

IBM has been at the forefront of developing superconducting quantum processors, regularly releasing new generations with higher qubit counts and improved performance, often named after birds (e.g., Eagle, Osprey, Condor).

Maintaining qubit coherence (the ability of qubits to retain their quantum state) for longer durations and significantly reducing error rates are fundamental and the most critical challenges in building large-scale, fault-tolerant quantum computers. While other factors are important, these are core technical hurdles.

The four selected astronaut candidates for the Gaganyaan mission underwent their initial generic space training at the Yuri Gagarin Cosmonaut Training Center in Russia. Subsequent mission-specific training is being conducted in India.

The LVM3 (Launch Vehicle Mark-3), formerly known as GSLV Mk-III, is the designated heavy-lift launch vehicle for the Gaganyaan mission, capable of carrying the Orbital Module into low Earth orbit.

The first uncrewed Gaganyaan mission (G1) was initially targeted for Q4 2024. Assuming a reasonable progression and successful execution within the revised timelines, by early 2026, it would have been successfully completed, allowing for the progression to the second uncrewed mission (G2) and eventually the crewed mission.

Early detection facilitated by AI can lead to earlier diagnosis and treatment, significantly improving the chances of successful recovery and better patient outcomes.

By enabling earlier and more accurate identification of cancer, these AI tools directly contribute to improving diagnostic capabilities, which is a cornerstone of effective medical treatment.

AI tools for early cancer detection often leverage machine learning algorithms to analyze complex patterns in medical imaging and digital pathology data, which are crucial for identifying subtle signs of cancer.

The SSLV is designed to carry payloads of up to 2000 kg to Low Earth Orbit (LEO), making it suitable for a range of small satellite applications.