Quantum AI Report

The convergence of Quantum with AI

Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory is a U.S. federal facility that researches quantum technologies for national security and fundamental science. Its work includes quantum sensing, quantum networking, and quantum simulation, with a testbed for superconducting qubits and strong emphasis on algorithms and error correction.

AI-written profile · not yet reviewed · 27 August 2026

Headquarters
Livermore, California, United States
Founded
1952
Status
Private

Coverage

HPCwire

QuEra Joins 3 Teams in ARPA-E Quantum Computing for Chemistry Program

QuEra Computing said its scientists will participate in three of the nine teams selected for ARPA-E's Quantum Computing for Chemistry program. The teams are led by Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Phasecraft. The projects target applications in superconductors, high-performance magnets, and hydrogen production.

OutlookPlausible

Within two years, QuEra's neutral-atom machines could be used to benchmark analog quantum simulation of small hydrogen-production catalyst models against classical methods.

neutral atomalgorithms softwareLawrence Berkeley National LaboratoryLawrence Livermore National LaboratoryPhasecraftQuEra Computing

Ramped fields create more robust entanglement between trapped-ion qubits

Researchers at Lawrence Livermore National Laboratory and the National Institute of Standards and Technology's Ion Storage Group demonstrated a method using ramped fields to create entanglement between trapped-ion qubits with improved robustness. The study was published in Physical Review Letters and addresses the reliability of quantum computing hardware.

OutlookPlausible

If ramped-field entanglement sequences transfer to commercial trapped-ion processors, they could improve two-qubit gate fidelity without requiring new hardware subsystems.

trapped ionLawrence Livermore National LaboratoryNIST Ion Storage Group