Quantum AI Report

The convergence of Quantum with AI

UCLA

UCLA conducts quantum computing research through its departments of physics, engineering, and computer science, with active work on silicon spin qubits, quantum error correction, and quantum algorithms. The university collaborates with national labs and industry partners on advancing quantum technologies.

AI-written profile · not yet reviewed · 16 August 2026

Status
Private
spin qubitalgorithms software

Coverage

Quantum Zeitgeist

UCLA scientists lead $75M push to build reliable quantum computers

Two UCLA Samueli School of Engineering computer science professors, Jason Cong and Jens Palsberg, will co-lead separate research institutes, each backed by a five-year, $37.5 million NSF grant and forming a $75 million effort to make quantum computers more reliable. The institutes will work on closing the gap between today's quantum systems and practical computing.

OutlookPlausible

The dual-institute structure could produce an integrated compiler and error-mitigation software stack that improves usable circuit fidelity on existing superconducting or trapped-ion hardware within two years.

algorithms softwareerror correctionNational Science FoundationUCLA
Quantum Computing Report

UCLA-Led Consortium Secures $4 Million NSF Grant for 60 Logical Qubit Trapped-Ion Architecture

UCLA-led consortium including University of Oregon, NIST, and UMass Amherst secured a $4 million NSF grant to build a 60-logical qubit trapped-ion quantum computer within two years, leveraging optical resonator technology for high-fidelity entanglement.

OutlookPlausible

If the consortium successfully builds a 60 logical qubit trapped-ion system, it could enable practical demonstrations of error-corrected quantum algorithms that are currently out of reach, such as small-scale molecular simulations or optimization problems with coherent error suppression.

trapped ionalgorithms softwareerror correctionNISTUCLAUniversity of Massachusetts AmherstUniversity of Oregon