AI Needs Energy: Czech Company Sees Rapid Growth

by Marcus Liu - Business Editor
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The 2JCP production hall stands right next to the well-known Ráčice rowing canal. “It was created here already under communism, the first World Junior Championship was held here in 1986,” says the company’s CEO Vojtěch Křenovský in his office overlooking the water area.

The engineering company 2JCP was founded only a few years later. In 1992, it was founded in Račice by Jaroslav Pačes and Josef Černý, their initials gave the name to the joint venture.

At first, it produced air filters, acoustic covers, ventilation systems and other equipment for gas power plants. After the entry of investors from the Jet Investment company of billionaire Igor Fait in 2020, the company began to focus more on renewable energy and today thay design these devices themselves in 2JCP.

“Gradually, we gained enough self-confidence to go into it ourselves. It’s a bit tedious, as you have to prepare qualification projects that go through approval, and only then you get to tenders,” describes Křenovský.

“When you go through all that, you only get a binding offer. It can take two or three years. But if you succeed and the client successfully sells their engines, it’s quite a stable business,” he adds.

Green hydrogen for Siemens

So far, 2JCP achieved its greatest success this spring, when it signed a giant contract with the german company Siemens Energy. It will gradually be supplied with 27 electrolysers, in which hydrogen is generated using electricity from water, which is mainly used for the production of synthetic fuels. “The production and integration of electrolyzer units for Siemens Energy will begin at the turn of the year,” the company’s director specifies.

last year, 2JCP achieved record sales of 1.89 billion crowns,a quarter more than last year. Its gross profit even rose by 44 percent to 234 million. About a fifth of the turnover is in hydrogen technologies, about 60 percent in gas turbine equipment and the rest in various technologies including carbon dioxide capture.

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Quantum computing: A Beginner’s Guide

Quantum Computing: A Beginner’s Guide

Quantum computing is rapidly transitioning from a theoretical concept to a tangible technology poised to revolutionize fields like medicine, materials science, and artificial intelligence. Unlike classical computers that store data as bits representing 0 or 1,quantum computers leverage the principles of quantum mechanics to operate on *qubits*,unlocking computational possibilities previously deemed unachievable. This guide provides a foundational understanding of quantum computing, its core concepts, current status, and potential future impact.

What is Quantum computing?

at its heart, quantum computing is a new paradigm of computation. Classical computers manipulate bits, which are definitive states of either 0 or 1. Quantum computers, however, utilize qubits. Qubits exploit two key quantum mechanical phenomena: superposition and entanglement.

Superposition

Superposition allows a qubit to represent 0, 1, or a combination of both concurrently. Imagine a coin spinning in the air – it’s neither heads nor tails until it lands. Similarly, a qubit exists in a probabilistic state until measured. This dramatically increases the potential computational power, as a quantum computer can explore multiple possibilities concurrently.IBM Quantum Computing provides a detailed explanation of quantum states.

Entanglement

Entanglement links two or more qubits together in a way that their fates are intertwined, no matter the distance separating them. If you measure the state of one entangled qubit, you instantly know the state of the other. This interconnectedness allows for complex calculations and data processing. Quanta Magazine offers a clear explanation of quantum entanglement.

How Does Quantum Computing Differ from Classical computing?

The difference isn’t simply about speed, although quantum computers *can* be exponentially faster for specific tasks. It’s about the *type* of problems they can solve. Classical computers excel at tasks like word processing, database management, and running operating systems. Quantum computers are designed for problems that are intractable for classical computers,such as:

  • Drug Discovery: Simulating molecular interactions to identify potential drug candidates.
  • Materials Science: Designing new materials with specific properties.
  • Optimization Problems: Finding the best solution from a vast number of possibilities (e.g., logistics, finance).
  • Cryptography: Breaking existing encryption algorithms and developing new, quantum-resistant ones.

It’s important to note that quantum computers won’t replace classical computers entirely.They will likely function as specialized co-processors, tackling specific computationally intensive tasks while classical computers handle everyday operations.

Current Status of Quantum Computing

Quantum computing is still in its early stages of development, often referred to as the “NISQ” (Noisy Intermediate-Scale Quantum) era. This means current quantum computers have a limited number of qubits and are prone to errors. However, notable progress is being made:

  • Hardware Development: Companies like IBM, Google, Rigetti,and IonQ are actively building and improving quantum processors.
  • software and Algorithms: Researchers are developing quantum algorithms and software tools to harness the power of quantum computers.
  • Cloud Access: Quantum computing resources are becoming increasingly accessible through cloud platforms, allowing researchers and developers to experiment with the technology.

As of late 2023/early 2024,quantum computers have demonstrated “quantum supremacy” – solving a specific problem faster than the most powerful classical computers – but these demonstrations are frequently enough limited to contrived problems. The focus is now shifting towards achieving “quantum advantage,” were quantum computers can solve *practical* problems more efficiently than classical computers.

Challenges Facing Quantum Computing

Despite the excitement, several challenges remain:

  • Decoherence: Qubits are extremely sensitive to their surroundings, and maintaining their quantum state (coherence) is difficult.
  • Error Correction: Quantum computations are prone to errors, and developing effective error correction techniques is crucial.
  • Scalability: Building quantum computers with a large number of stable, interconnected qubits is a significant engineering challenge.
  • Programming Complexity: Developing quantum algorithms requires a different mindset and skillset than classical programming.

Future Outlook

The future of quantum computing is promising. Continued advancements in hardware, software, and error correction will pave the way for more powerful and reliable quantum computers. While widespread adoption is still years away, the potential impact on various industries is immense. We can expect to see:

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