War in Ukraine: Russia Strikes Kremenchuk, Drones Shot Down in Russia

by Ibrahim Khalil - World Editor
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07/12/2025 – 11:16

New US security strategy ‘broadly consistent’ with russia’s vision, Kremlin says

Russia welcomed the new US national security strategy, saying its adjustments, which reflect a decidedly nationalist view of the Trump presidency, were “broadly consistent” with Moscow’s vision.

“The adjustments we are seeing, I would say, are broadly in line with our vision,” Kremlin spokesman Dmitry Peskov said in an interview with state television about the document released Friday.

The latter hoped that this new strategy “can constitute a modest guarantee of our ability to constructively continue our joint work to find a peaceful settlement in Ukraine.”

07/12/2025 – 10:26

Peace deal near, says US envoy Keith Kellogg

Departing US envoy Keith Kellogg said a peace deal to end the war in Ukraine was “very close” and depended on only two major issues: the future of ukraine’s Donbass region and that of the Zaporizhzhia nuclear power plant.

“If we can resolve these two issues, I think the rest will be resolved quite easily,” declared the emissary of American President Donald Trump. “We’re really, really close.”

The man who is due to leave his post in January declared at the Reagan National Defense Forum that efforts to end the war were entering “the last ten meters”, which are always the most tough, according to him.

07/12/2025 – 09:57

The IAEA calls for work at Chernobyl where the ark has lost “its safety functions”

The International Atomic Energy Agency (IAEA) announced that its teams had been in Ukraine since early December to assess nuclear security,and had found that the C

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Quantum Computing: A Beginner’s Guide

Quantum Computing: A Beginner’s guide

Quantum computing is rapidly evolving from a theoretical concept to a potentially revolutionary technology. Unlike classical computers that store information as bits representing 0 or 1, quantum computers leverage the principles of quantum mechanics to store information as *qubits*. this allows them to tackle complex problems currently intractable for even the most powerful supercomputers. This guide provides a foundational understanding of quantum computing,its core concepts,potential applications,and current challenges.

What is Quantum Computing?

At its core, quantum computing harnesses the bizarre yet powerful laws of quantum mechanics. Two key principles underpin this technology: superposition and entanglement.

Superposition

In classical computing, a bit is either a 0 or a 1. A qubit, however, can exist in a superposition of both states simultaneously. Think of it like a coin spinning in the air – it’s neither heads nor tails until it lands. This ability to represent multiple states at once dramatically increases the computational possibilities. mathematically, a qubit’s state is described as a combination of 0 and 1, represented by probabilities.

Entanglement

Entanglement is a phenomenon where two or more qubits become linked together in such a way that they share the same fate, no matter how far apart they are.If you measure the state of one entangled qubit,you instantly know the state of the other. Einstein famously called this “spooky action at a distance.” Entanglement allows for complex correlations and parallel computations.

How Does Quantum Computing Differ from Classical Computing?

The basic difference lies in how information is processed. Classical computers perform calculations sequentially, one step at a time. Quantum computers, due to superposition and entanglement, can perform many calculations simultaneously. This parallel processing capability offers exponential speedups for certain types of problems.

Here’s a simple comparison:

Feature Classical Computing Quantum Computing
Information Unit Bit (0 or 1) Qubit (0, 1, or both simultaneously)
Processing Sequential Parallel
Problem Solving Effective for many tasks Potentially revolutionary for specific complex problems

Potential Applications of Quantum Computing

While still in its early stages, quantum computing promises breakthroughs in numerous fields:

  • Drug Discovery and Materials Science: Simulating molecular interactions to design new drugs and materials with specific properties. IBM Quantum – Drug Discovery
  • Financial Modeling: Optimizing investment portfolios, assessing risk, and detecting fraud. McKinsey – Quantum Computing in Finance
  • Cryptography: Breaking existing encryption algorithms and developing new, quantum-resistant cryptography. NIST – Quantum-Resistant Cryptography
  • Optimization Problems: Solving complex logistical challenges, such as optimizing supply chains and traffic flow.
  • Artificial Intelligence: Accelerating machine learning algorithms and enabling new AI capabilities.

Challenges Facing Quantum Computing

Despite its potential, quantum computing faces important hurdles:

  • Qubit Stability (Decoherence): Qubits are extremely sensitive to environmental noise, which can cause them to lose their quantum properties (decoherence). Maintaining qubit stability is a major engineering challenge.
  • Scalability: Building quantum computers with a large number of qubits is difficult. Current quantum computers have a limited number of qubits.
  • Error Correction: Quantum computations are prone to errors. Developing effective error correction techniques is crucial.
  • Programming Complexity: Quantum algorithms are fundamentally different from classical algorithms, requiring specialized programming skills.

Key Takeaways

  • Quantum computing utilizes qubits, which can exist in a superposition of states.
  • Entanglement allows for correlations between qubits, enabling parallel processing.
  • Quantum computers have the potential to revolutionize fields like drug discovery, finance, and cryptography.
  • Significant challenges remain in building and scaling quantum computers.

Frequently Asked Questions (FAQ)

Is quantum computing going to replace classical computing?
no. Quantum computers are not meant to replace classical computers entirely. They are designed to excel at specific types of problems where classical computers struggle. Classical computers will continue to be essential for everyday tasks.
How long until we have practical quantum computers?
It

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