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Quantum Entanglement Speeds Up Secret Computations ⚡ экспресс

Original: "Quantum Private Distributed Matrix Multiplication With Degree Tables"
Quantum entanglement enables fast and secure multiplication of giant tables of numbers on remote servers.
Abstract

The paper explores using quantum resources to speed up private distributed matrix multiplication (PDMM). The setup: a user splits matrices A and B into K and L subblocks and sends them to N servers, requiring privacy against any T colluding servers. In the quantum version, servers share an entangled state and respond over quantum channels; the user performs a measurement to obtain A·B. Two privacy regimes are considered: high privacy (T < K and L) and low privacy. In the high-privacy regime, the classical benchmark is the GASP code. A feasibility condition is established for GASP in the quantum setting, under which maximum performance is achieved. When the condition is violated, the relationship between minimum privacy requirements and matrix sizes is studied, and a new family of quantum codes is proposed. In the low-privacy regime, where GASP is outperformed by CAT and DOG codes, it is shown that the feasibility condition from GASP can be adapted for CAT and DOG. Additionally, a set of codes is developed for the low-privacy regime when the condition does not hold.

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When a computer can't handle multiplying two giant tables of numbers, they're sliced into tiny pieces and sent out to dozens of helper servers. For secret data, mathematical tricks are used so the helpers never see the original numbers. Usually, the higher the secrecy, the more servers you need.

The authors proposed using a special quantum propertyentanglement between the servers.

Entangled particles are always connected: measure one, and the state of the other is instantly determined. Einstein called this "spooky action at a distance."

Thanks to this, the servers, receiving only meaningless scraps, jointly compute the result. The number of servers is drastically reduced. Scientists worked out the optimal conditions and developed new families of codes.

Under imperfect conditions, the protection is reliable, though with trade-offs.

The most surprising part: any attempt to eavesdrop instantly destroys the entanglement — data interception becomes pointless.

Cloud services will be able to process confidential data — bank calculations, medical analyses — quickly and reliably. Einstein, a skeptic of entanglement, would be amazed. The ideas of Charles Bennett turned quantum weirdness into a powerful tool for privacy.

🎯 With quantum entanglement, eavesdropping on a transmission is impossible: any attempt instantly destroys the link and gives the spy away.

Scientists
Emmy NoetherJacob BekensteinStephen HawkingLudwig BoltzmannWolfgang PauliWilhelm Wien
Tags
entropy Standard Model
Laws
second law of thermodynamicsNoether's theoremBekenstein-Hawking entropyBoltzmann distributionfirst law of thermodynamicsspin–statistics theorem
Original: arXiv:2511.23406 · CC BY · bridge42worlds