Yale University

Yale University conducts quantum computing research through its Yale Quantum Institute and departments of applied physics and computer science. The university is particularly known for work on superconducting transmon qubits and quantum error correction, and also contributes to quantum algorithms and quantum networking. Yale collaborates with industry partners and trains many researchers in the field.

AI-written profile · not yet reviewed · 15 August 2026

Headquarters: New Haven, Connecticut
Status: Private

superconducting error correction algorithms software

Coverage

Quantum Zeitgeist28 August 2026

A wireless link builds the nation’s longest quantum network

Brookhaven National Laboratory has added a free-space optical segment to a quantum network connecting it with Stony Brook University and Yale University. The permanent wireless link runs 161 miles across Long Island and the New York metropolitan area and is described as the first of its kind. It gives the existing network a wireless component alongside its fiber infrastructure.

OutlookLikely

A permanent 161-mile free-space link between Brookhaven, Stony Brook, and Yale could allow sustained, calendar-year measurement of photon loss and atmospheric turbulence on entanglement distribution, producing the availability data needed to decide where hybrid fiber/free-space quantum repeaters can be deployed.

quantum networking photonicBrookhaven National LaboratoryStony Brook UniversityYale University

HPCwire25 August 2026

Yale Wins $37.5M NSF Grant for Practical Quantum Error Correction Center

Yale University will lead a multidisciplinary team supported by a $37.5 million grant from the U.S. National Science Foundation. The new center will focus on designing practical, self-correcting quantum computers from top to bottom, with the aim of guiding industry toward building reliable machines. It is one of eight centers funded in this NSF round.

OutlookPlausible

This center could release a vendor-neutral suite of quantum error correction benchmarks and simulation tools within two years, giving hardware teams shared targets for logical qubit overhead.

error correctionNational Science FoundationYale University

arXiv quant-ph5 August 2026

Bias-preserving cat-cat CNOT gate via vacuum-conditional beam-splitter

A paper on arXiv proposes a bias-preserving CNOT gate for cat qubits realized via a vacuum-conditional beam-splitter. The gate is designed to preserve the dominant error bias of cat qubits, preventing conversion of bit-flip to phase-flip errors during two-qubit operations. This addresses a key challenge in fault-tolerant quantum computing with biased-noise bosonic codes.

OutlookPlausible

Experimental demonstration of this gate could enable low-overhead fault-tolerant operations in cat-qubit processors, bringing such architectures closer to error-corrected operation within two years.

superconducting error correctionYale University