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Keyword:quantum computing

Israel's Quantum X Labs Claims Efficient Geometric Encoding for Complex Nuclear Environments

Israel's Quantum X Labs Claims Efficient Geometric Encoding for Complex Nuclear Environments

Quantum X Labs Inc. of Israel announced on September 3 that it has achieved a key milestone in its nuclear quantum business: the company has developed a new method to more efficiently encode complex spatial geometries into quantum transport frameworks. The company stated that the new method can be used to simulate the trajectories of particles moving through complex material boundaries and heterogeneous structures, providing a new technical pathway for representing more complex physical systems within quantum computing frameworks. Such capabilities are closely related to simulation needs in practical nuclear-related scenarios such as nuclear power plants, medical devices, and space exploration. In photon and particle transport simulations, real-world systems often contain complex boundaries,...

2026-09-04

U.S. FRIB Secures Contract from Naval Nuclear Laboratory to Develop Quantum-Classical Hybrid Nuclear Reaction Calculation Methods

U.S. FRIB Secures Contract from Naval Nuclear Laboratory to Develop Quantum-Classical Hybrid Nuclear Reaction Calculation Methods

A research project at the Facility for Rare Isotope Beams (FRIB) at Michigan State University, led by Dean Lee, Professor of Physics at FRIB, Professor in the Department of Physics and Astronomy at Michigan State University, and Head of the Theoretical Nuclear Science Department at FRIB, has received one-year contract support from the Naval Nuclear Laboratory. The laboratory is managed by Fluor Marine Propulsion. The project will study how to combine quantum computers with classical computers to improve the accuracy of predictions for neutron interactions with matter. This also represents the first phase of a five-year plan aimed at developing and evaluating new computational tools for nuclear science. In nuclear physics research, accurately predicting how neutrons interact with atomic nuclei...

2026-08-18

Quantum X Labs Advances Quantum Computing for Nuclear Particle Transport Predictive Simulations

Quantum X Labs Advances Quantum Computing for Nuclear Particle Transport Predictive Simulations

Quantum X Labs Inc. recently announced that its subsidiary, Nuclear Quantum, has proposed a new solution to a bottleneck in computational simulations for the nuclear industry, attempting to introduce quantum computing into nuclear particle transport prediction to support compute-intensive scenarios such as nuclear medicine system design. According to reports, traditional particle transport simulations play an important role in nuclear medicine system design, but they often require substantial computational resources and involve long runtimes, impacting R&D and optimization efficiency. The technology proposed by Nuclear Quantum aims to transform physical transport models into quantum circuits, enabling particle propagation and random walk dynamics to be directly represented and simulated within a quantum computing framework...

2026-08-06

New Progress in First-Principles Quantum Computing for Nuclear Structure

New Progress in First-Principles Quantum Computing for Nuclear Structure

Recently, the research team at the Institute of Modern Physics, Chinese Academy of Sciences, has made new progress in quantum computing studies of first-principles nuclear structure for multi-fermion systems. The team developed a universal quantum-classical hybrid computing framework capable of calculating Green's functions and spectral functions of nuclear many-body systems. The relevant results were published as a Letter in Physical Review C. First-principles Hamiltonian many-body calculations are a core approach for revealing the laws of strongly correlated quantum systems, widely applied in fields such as quantum chemistry and nuclear physics. However, the Hilbert space of such problems grows exponentially with particle number, posing insurmountable computational resource challenges on classical computers...

2026-08-03