Theodore J. Yoder

Oliver Dial

Gregory White

Gary Mooney

Charles Hill

Lloyd Hollenberg

Jerry Chow

Abhinav Kandala

Robert Davis

Markus Brink

Maika Takita

Jay Gambetta

News

Research

Deep Dive

Explainer

Generating whole-processor entanglement on 27- and 65-qubit quantum systems

IBM Quantum breaks the 100‑qubit processor barrier

IBM’s quantum computers: an optimal platform for condensed matter physics research

Scientists double the size of quantum simulations with entanglement forging

Bringing agile to quantum hardware

Eagle’s quantum performance progress

How IBM Quantum is advancing quantum error correction with hardware experiments

Quantum

APS March Meeting 2022

SPIE Advanced Lithography 2022

VLSI 2022

Quantum Error Correction

Quantum Chemistry

Quantum Hardware

Quantum Circuits and Software

AI has the potential to solve some of the biggest challenges facing myriad industries. At IBM Research, we’re working on semiconductor innovations for the hybrid cloud and AI — foundational hardware technology that we can use to build the next generation of chips to solve those challenges. 

Foundational Hardware Technology

The hybrid cloud is creating new opportunities to transform the way scientific research is done. From access to high-performance infrastructure, to support for multi-cloud deployments and cloud-native technologies like containers and serverless computing, we're driving full-stack innovations to transform R&D.

Hybrid Cloud HPC

Quantum advantage requires innovation at every layer of the quantum stack. Our software team works alongside the hardware developers to build an expansive library of quantum circuits and to create programming tools so that anyone can develop their own quantum software.

IBM Quantum has a clear vision toward achieving practical quantum advantage. Today we are building state-of-the-art superconducting quantum processors integrated into classical computing workflows, relying on the latest quantum science, cryogenic engineering, systems engineering, and industrial design.

Quantum computing represents a paradigm shift in the types of problems we can solve. Getting it right requires deep understanding of the underlying theory. We’re exploring the fundamentals of quantum science, from entanglement and superposition to the development of novel quantum algorithms. 