Srinivasan Arunachalam

Sergey Bravyi

Sarah Sheldon

Yunchao Liu

Kristan Temme

Olivia Lanes

AJ Rasmusson

Abhinav Kandala

Robert Davis

Jay Gambetta

John Watrous

Ewout van den Berg

News

Research

Deep Dive

Explainer

Understanding quantum information and computation

Quantum kernels can solve machine learning problems that are hard for all classical methods

It’s been 20 years since “15” was factored on quantum hardware

How IBM Quantum is advancing physics with world-leading theory research

A Q&A with recently elected Royal Society foreign member, Charles H. Bennett

With fault tolerance the ultimate goal, error mitigation is the path that gets quantum computing to usefulness

Meet the quantum open science prize winners

Quantum

AAAI 2023

APS 2023

APS March Meeting 2023

Quantum Error Correction

Machine Learning

Quantum Community

Quantum Hardware

Quantum Information Science

Quantum Circuits and Software

Quantum Machine Learning

IBM Quantum has a clear roadmap to practical quantum advantage in the coming years. This goal requires scalable, error-corrected quantum systems. We develop bottom-up approaches to the problem of noisy qubits and incorporate error correction techniques to realize this technology’s true potential.

Our long history of research has had an enduring impact on computer science, operations research, and information theory. We’re currently focused on optimization, probability, complexity, geometry of data, as well as linear and multi-linear algebra, to deliver tools that are fundamental to big data and AI.

Mathematical Sciences

We’re focused on foundational mathematical research with the aim of delivering tools to that are fundamental to big data and AI.

Our physical sciences researchers seek to understand materials and their properties through advanced characterization methods, explore novel devices and materials for new computational platforms, and apply physics to improve AI algorithms and interpretability.



Physical Sciences

We’re using physics to improve AI algorithms and interpretability, as well as novel materials for new computational platforms. 


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.

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. 

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Error mitigation is the path to quantum computing usefulness

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The IBM Quantum Lab at the Thomas J Watson Research Center (Credit: Cait Oppermann for IBM)