DARPA’s RoQS program aims to develop resilient quantum sensors that maintain their high sensitivity while resisting environmental disruptions.
Category: quantum physics – Page 181
Entangling two physically separate resonators enables a major advance in the science of quantum sound
Entanglement—linking distant particles or groups of particles so that one cannot be described without the other—is at the core of the quantum revolution changing the face of modern technology.
While entanglement has been demonstrated in very small particles, new research from the lab of University of Chicago Pritzker School of Molecular Engineering (UChicago PME) Prof. Andrew Cleland is thinking big, demonstrating high-fidelity entanglement between two acoustic wave resonators.
The paper is published in Nature Communications.
Excitons in organic semiconductors: Unraveling their quantum entanglement and dynamics
Excitons, encountered in technologies like solar cells and TVs, are quasiparticles formed by an electron and a positively charged “hole,” moving together in a semiconductor. Created when an electron is excited to a higher energy state, excitons transfer energy without carrying a net charge. While their behavior in traditional semiconductors is well understood, excitons act differently in organic semiconductors.
Recent research led by condensed matter physicist Ivan Biaggio focuses on understanding the mechanisms behind exciton dynamics, quantum entanglement, and dissociation in organic molecular crystals.
The paper is published in the journal Physical Review Letters.
World’s first quantum large language model can shape future of AI
Risk assessment and fraud detection can be enhanced with its usage in the financial sector.
A UK-based firm has launched the world’s first quantum large language model (QLLM). Developed by SECQAI, the QLLM is claimed to be capable of shaping the future of AI.
The company integrated quantum computing into traditional AI models to improve efficiency and problem-solving.
According to a report, the development involved creating an in-house quantum simulator with gradient-based learning and a quantum attention mechanism.
This quantum computer built on server racks paves the way to bigger machines
A Canadian startup called Xanadu has built a new quantum computer it says can be easily scaled up to achieve the computational power needed to tackle scientific challenges ranging from drug discovery to more energy-efficient machine learning.
Aurora is a “photonic” quantum computer, which means it crunches numbers using photonic qubits—information encoded in light. In practice, this means combining and recombining laser beams on multiple chips using lenses, fibers, and other optics according to an algorithm. Xanadu’s computer is designed in such a way that the answer to an algorithm it executes corresponds to the final number of photons in each laser beam. This approach differs from one used by Google and IBM, which involves encoding information in properties of superconducting circuits.
Fiber image transmission technology for minimally invasive endoscope developed
Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication and big data transmission. Compared with single-mode fibers (SMFs), multimode fibers (MMFs) can support a much larger number of guided modes (~103 to ~104), offering the attractive advantage of high-capacity information and image transportation within the diameter of a hair. This capability has positioned MMFs as a critical tool in fields such as quantum information and micro-endoscopy.
However, MMFs pose a significant challenge: their highly scattering nature introduces severe modal dispersion during transmission, which significantly degrades the quality of transmitted information. Existing technologies, such as artificial neural networks (ANNs) and spatial light modulators (SLMs), have achieved limited success in reconstructing distorted images after MMF transmission. Despite these advancements, the direct optical transmission of undistorted images through MMFs using micron-scale integrated optical components has remained an elusive goal in optical research.
Addressing the longstanding challenges of multi-mode fiber (MMF) transmission, the research team led by Prof. Qiming Zhang and Associate Prof. Haoyi Yu from the School of Artificial Intelligence Science and Technology (SAIST) at the University of Shanghai for Science and Technology (USST) has introduced a groundbreaking solution. The study is published in the journal Nature Photonics.
Simulating particle creation in an expanding universe using quantum computers
A new study published in Scientific Reports simulates particle creation in an expanding universe using IBM quantum computers, demonstrating the digital quantum simulation of quantum field theory for curved spacetime (QFTCS).
While attempts to create a complete quantum theory of gravity have been unsuccessful, there is another approach to exploring and explaining cosmological events.
QFTCS maintains spacetime as a classical background described by general relativity, while treating the matter and force fields within it quantum mechanically. This allows physicists to study quantum effects in “curved spacetime” without needing a complete theory of quantum gravity.