Endangered Great Apes: Illegal Trade & What to Do

by Ibrahim Khalil - World Editor
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Great apes are humans’ closest relatives in the animal kingdom. As much as 98.8% of their DNA is shared, but while the number of humans living on the planet is increasing fast, other great apes are in decline. Five out of the seven species are now critically endangered.

The UN has estimated that about 22,000 great apes disappeared from their natural habitats between 2005 and 2011. Adults are mostly killed, their meat and body parts sold for bushmeat, traditional medicine or, in certain specific cases, traditional ceremonies.

Babies and juvenile apes, conversely, command a much higher price alive. They are also easier too smuggle across borders. Seizures and confiscations of illegal animal trades are rare and often poorly documented.

part of the problem is great apes are very attractive. Ever as the first animals arrived at European zoos, these species have been popular with visitors. Some, like Barcelona zoo’s white gorilla Snowflake or Twycross zoo’s “PG Tips chimps,” even became celebrities.

Through the decades, great apes have remained an acquisition target for some zoos and animal attractions, sometimes by dodging the rules. The desire to keep “exotic” animals as pets also remains a key driver of the illegal global wildlife trade.

Social media has made the illegal trade in great apes much more efficient: sellers and buyers can use online platforms to exchange messages about prices and transport.

For years, conservation NGOs such as the Jane Goodall Institute, Traffic and the African Wildlife Foundation have been warning about the threat of extinction for great apes. Now a great ape enforcement taskforce – set up by member-nations of the convention on the International Trade in Endangered Species of Wild Fauna and Flora (Cites) – is being established to try and tackle the escalating illegal trade.

The convention was formed 50 years ago to create rules for a legal trade in wildlife and to stem the decline in w

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Quantum Computing: A Beginner’s Guide

Quantum Computing: A Beginner’s Guide

Quantum computing is a revolutionary field poised to reshape industries from medicine and materials science to finance and artificial intelligence. 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 exploits the bizarre yet powerful laws of quantum mechanics.Two key principles underpin this technology:

  • Superposition: A qubit can exist in a combination of 0 and 1 simultaneously. Imagine a coin spinning in the air – it’s neither heads nor tails until it lands. This allows quantum computers to explore many possibilities concurrently.
  • Entanglement: Two or more qubits can become linked together in such a way that they share the same fate, no matter how far apart they are. Measuring the state of one entangled qubit instantly reveals the state of the other.IBM quantum provides a detailed clarification of entanglement.

These principles enable quantum computers to perform certain calculations exponentially faster than classical computers.Though, it’s critically important to note that quantum computers aren’t meant to replace classical computers entirely. They excel at specific types of problems,while classical computers remain more efficient for everyday tasks.

Qubits vs. Bits

The fundamental difference between classical and quantum computing lies in how information is stored. Classical computers use bits, wich are like switches that can be either on (1) or off (0). Qubits, however, leverage quantum properties. They can be represented as a sphere on the Bloch sphere, allowing for a continuous range of states between 0 and 1. This increased representational capacity is what gives quantum computers their power.

Applications of Quantum Computing

The potential applications of quantum computing are vast and transformative:

  • Drug Discovery and Materials Science: Simulating molecular interactions to design new drugs and materials with specific properties. NIST highlights the role of quantum computing in materials discovery.
  • Financial Modeling: Optimizing investment portfolios,detecting fraud,and assessing risk with greater accuracy.
  • Cryptography: Breaking existing encryption algorithms and developing new, quantum-resistant cryptography. Stack Exchange provides a good overview of post-quantum cryptography.
  • Artificial Intelligence: Accelerating machine learning algorithms and enabling the development of more powerful AI models.
  • Optimization Problems: Solving complex optimization problems in logistics, supply chain management, and scheduling.

Current Challenges and Future Outlook

Despite its immense potential, quantum computing faces meaningful challenges:

  • Decoherence: Qubits are extremely sensitive to their environment, and maintaining their quantum state (superposition and entanglement) is difficult. Decoherence leads to errors in calculations.
  • Scalability: Building and maintaining large-scale, stable quantum computers with a sufficient number of qubits is a major engineering hurdle.
  • Error Correction: Developing effective error correction techniques to mitigate the effects of decoherence is crucial.
  • Software Development: Creating quantum algorithms and software tools requires a new way of thinking about computation.

Several companies and research institutions are actively working to overcome these challenges.Google Quantum AI, IBM Quantum, and Rigetti Computing are leading the way in developing quantum hardware and software. While widespread adoption of quantum computing is still years away, the progress being made is accelerating, and the future looks promising.

Frequently Asked Questions (FAQ)

Q: What is the difference between quantum computing and classical computing?

A: Classical computers use bits to represent information as 0 or 1, while quantum computers use qubits, which can exist in a superposition of both states simultaneously. This

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