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Скачать или смотреть Quantum Computing for Single Cell Biology

  • KEN WASSERMAN
  • 2026-01-14
  • 35
Quantum Computing for Single Cell Biology
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Описание к видео Quantum Computing for Single Cell Biology

Gemini:
Here is a summary of the significant findings from the provided research, simplified for clarity.
1. Quantum Computing for Biology and Medicine
One major finding is that quantum computers are becoming powerful enough to revolutionize biology, specifically in understanding how individual cells work. Scientists propose using quantum algorithms to analyze the massive amount of data generated by "single-cell omics," which looks at the genetic activity of thousands of individual cells at once.
The Problem: Current classical computers struggle to model the complex interactions between genes and proteins in a cell because the number of possible combinations is astronomical.
The Quantum Solution: A new roadmap suggests using quantum computers to simulate these complex biological networks. This could allow us to predict how a patient's cells will respond to a drug before it is even administered, leading to highly personalized cell-based therapies for diseases like cancer.
2. Calculating Energy States of Particles
Another study demonstrates a practical way to use today's "imperfect" quantum computers to solve difficult physics problems.
The Method: Researchers used a technique called Krylov diagonalization on a superconducting quantum processor. This method acts like a "filter" that helps the quantum computer ignore noise and errors.
The Result: They successfully calculated the energy states (ground states and excited states) of a system of particles on a lattice with up to 56 sites. This is a significant leap because it shows that even before we have fully error-corrected quantum computers, we can perform useful calculations for materials science and chemistry that are too hard for standard supercomputers.
3. Controlling Electron "Traffic" with Geometry
Physicists have created a new type of electronic device called a "chiral fermionic valve" that controls the flow of electrons based on their "handedness" or chirality (a property similar to spin).
The Discovery: By using a special crystal (PdGa) with a unique geometric structure, they could separate electrons moving in different directions without using magnetic fields. This is like a traffic sorter that sends "left-handed" electrons one way and "right-handed" electrons another.
Why It Matters: This allows for the creation of electronic components that are extremely efficient and do not require bulky magnets. It opens the door to "chirality-tronics," a new potential generation of faster, lower-energy electronic devices.
4. Verifying Quantum Computers "On-Chip"
Finally, researchers tackled a major security issue: how do you know a quantum computer is giving you the right answer without having a second quantum computer to check it?
The Innovation: They developed a new verification protocol that runs directly on the quantum chip itself (specifically an Ion-Trap processor).
The Mechanism: Instead of needing a complex setup where a user sends "secret" quantum messages to the computer, the verification happens internally using a series of hidden tests mixed in with the real calculation.
The Benefit: This makes it much easier and practical to securely test cloud-based quantum computers, ensuring that the results they provide are honest and accurate without needing expensive external equipment.

https://www.nature.com/articles/s4158...
https://doi.org/10.1038/s41580-025-00...
https://doi.org/10.1038/s42005-025-02...

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