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The combined results also speak to a more fundamental goal. For decades, the quantum computing community has been trying to establish quantum advantage —a task that quantum computers can do that a classical one would struggle with. Usually, researchers understand quantum advantage to mean that a quantum computer can do the task in far fewer steps.

The new papers show that quantum memory lets a quantum computer perform a task not necessarily with fewer steps, but with less data. As a result, researchers believe this in itself could be a way to prove quantum advantage. “It allows us to, in the more near term, already achieve that kind of quantum advantage,” said Hsin-Yuan Huang, a physicist at Google Quantum AI.

But researchers are excited about the practical benefits too, as the new results make it easier for researchers to understand complex quantum systems.

Did the laws of physics come into being at the Big Bang?

Watch the full talk at https://iai.tv/video/the-laws-of-physics-are-not-fixed-joao-…escription.

We think that the laws of physics are unchanging and cannot be violated. Join pioneering physicist, João Magueijo, as he argues that everything we thought we knew about the laws of physics is wrong. They do change. And they can be violated. What’s more, a new understanding of these laws could help solve the mystery of dark matter.

#physics #science #speedoflight.

João Magueijo is a Portuguese cosmologist and professor in theoretical physics at Imperial College London. He is a pioneer of the varying speed of light (VSL) theory.

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Earlier this year, experiments shattered expectations by pushing the limits of what classical computing was believed to be capable of. Not only did the old fashioned binary technology crack a problem considered to be unique to quantum processing, it outperformed it.

Now physicists from the Flatiron Institute’s Center for Computational Quantum Physics in the US have an explanation for the feat which could help better define the boundaries between the two radically different methods of number-crunching.

The problem involves simulating the dynamics of what’s known as a transverse field Ising (TFI) model, which describes the alignment of quantum spin states between particles spread across a space.

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Hello and welcome! My name is Anton and in this video, we will talk about recent discoveries about quantum computers.
Links:
https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.22.034003
http://cjc.ict.ac.cn/online/onlinepaper/wc-202458160402.pdf.
https://arxiv.org/pdf/2307.03236
https://www.science.org/doi/10.1126/sciadv.adn8907
https://qiskit.github.io/qiskit-aer/stubs/qiskit_aer.QasmSimulator.html.
https://arxiv.org/abs/2302.00936
Previous videos:
https://youtu.be/Jl7RLrA69pg.


https://youtu.be/dPqNZ4aya8s.
#quantum #quantumcomputing #quantumcomputer.

0:00 Quantum Doom.
2:15 Recent quantum claims by Google and IBM
3:30 Why it’s so hard and what issues have to be solved.
4:50 No real world application?
6:30 Potential use: quantum internet.
8:00 Optical quantum computer that does something different.
9:50 Cracking encryption.
11:15 Conclusions and what’s next?

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Researchers at Paul Scherrer Institute (PSI), using muon spin rotation at the Swiss Muon Source (SmS), have discovered that a quantum phenomenon called time-reversal symmetry breaking takes place at the surface of the Kagome superconductor RbV₃Sb₅, occurring at temperatures up to 175 K.

This sets a new record for the temperature at which time-reversal symmetry breaking is observed among Kagome systems.

For error-resistant quantum computers, creating superpositions or entanglement between states is relatively easy. In contrast, adding magic to the state or dislocating them further from easy-to-simulate stabilizer states is expected to be highly challenging.

“In the literature of , you often encounter terms like ‘magic state distillation’ or ‘magic state cultivation,’ which refer to pretty arduous processes to create special quantum states with magic that the quantum computer can make use of,” said Niroula.

“Prior to this paper, we had written a paper that observed a similar transition in entanglement, in which we had observed phases where measurements of a quantum system preserved or destroyed entanglement depending on how frequent they are.”

Scientists have revolutionized the field of quantum photonics by employing high-performance computing to analyze quantum detectors at an unprecedented scale.

Their innovative approach involves the tomographic reconstruction of experimental data, enabling rapid and efficient characterization of photon detectors. This development promises to enhance quantum research significantly, paving the way for advanced applications in quantum computing and communication.

Breakthrough in quantum photonics with high-performance computing.

Quantum squeezing is a method that sharpens precision by redistributing uncertainty within a system, already advancing technologies like atomic clocks. This concept promises even wider impacts as researchers work on applying it to more complex measurements.

Quantum squeezing is a technique in quantum physics that reduces uncertainty in one aspect of a system while increasing it in another. Imagine a balloon filled with air: when it’s untouched, the balloon is perfectly round. If you squeeze one side, it flattens in that spot but stretches in the opposite direction.

Similarly, in a squeezed quantum state, reducing uncertainty (or noise) in one variable, like position, causes increased uncertainty in a related variable, such as momentum. The total uncertainty remains the same, but redistributing it in this way allows for far more precise measurement of one of the variables.