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Category: quantum physics

Scientists Believe Quantum Computers AreAbout to Cross a Major Line

We began this inquiry by looking at the mismatch between our computers and our brains. We realized that we were trying to run biological software on the wrong hardware. That era is ending. As we refine these quantum processors, we are finally building a mirror that is accurate enough to reflect the true nature of the mind. We are not just building faster computers. We are building a vessel that can hold the physics of thought.

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Timestamps:
0:00 Quantum Computers.
1:18 The Scale Problem.
4:40 The Thermodynamic Wall.
8:11 Quantum Mechanics in Wetware.
13:58 The \

Quantum computer breakthrough tracks qubit fluctuations in real time

Researchers at the Niels Bohr Institute have significantly increased how quickly changes in delicate quantum states can be detected inside a qubit. By combining commercially available hardware with new adaptive measurement techniques, the team can now observe rapid shifts in qubit behavior that were previously impossible to see.

Qubits are the fundamental units of quantum computers, which scientists hope will one day outperform today’s most powerful machines. But qubits are extremely sensitive. The materials used to build them often contain tiny defects that scientists still do not fully understand. These microscopic imperfections can shift position hundreds of times per second. As they move, they alter how quickly a qubit loses energy and with it valuable quantum information.

Until recently, standard testing methods took up to a minute to measure qubit performance. That was far too slow to capture these rapid fluctuations. Instead, researchers could only determine an average energy loss rate, masking the true and often unstable behavior of the qubit.

Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical reservoir computing techniques are known to perform best at the “edge of chaos,” or in simpler terms, at a “sweet spot” in which the behavior of systems is neither entirely predictable (i.e., order) nor completely unpredictable (i.e., chaos).

In recent years, some physicists and quantum engineers have been exploring the possibility of realizing a quantum equivalent of classical reservoir computing, known as quantum reservoir computing (QRC). These approaches enable the processing of temporal data and the prediction of events unfolding over time, leveraging high-dimensional quantum states.

Researchers at the University of Tokyo carried out a study investigating how QRC would behave when applied to complex quantum many-body systems, which consist of several interacting quantum particles. Their paper, published in Physical Review Letters, introduces a physics-based framework that could inform the future development of QRC systems.

Casimir effect

In quantum field theory, the Casimir effect (or Casimir force) [ 1 ] is a physical force acting on the macroscopic boundaries of a confined space which arises from the quantum fluctuations of a field. The term Casimir pressure is sometimes used when it is described in units of force per unit area. [ 2 ] [ 3 ] It is named after the Dutch physicist Hendrik Casimir, who predicted the effect for electromagnetic systems in 1948.

Guest Post: Quantum And Games — The Shift Developers Can’t Afford to Ignore

This is not about a lack of imagination – it’s about the limitations of classical computing and its inability to handle complexity.

The way in which quantum computing can be used to transform game development, and address the limitations imposed by traditional computing, is often misunderstood. People imagine quantum computers running entire games in real time. This is not how it’s used.

Quantum computing won’t power your frame rate or respond to controller input. Instead it exists to solve certain complex problems far more efficiently than conventional machines. The real opportunity is earlier in the process – helping developers explore ideas, pre-render complex systems and check that complex worlds actually work before players ever see them.

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