Srinivasan Arunachalam

Peter Hess

Arkopal Dutt

Hari Krovi

Rik Sengupta

Mike Murphy

Robert Davis

Ryan Mandelbaum

News

Research

Q & A

Explainer

A new playbook for quantum optimization benchmarking

How IBM is searching for quantum advantage in differential equations

The fast Fourier transform, how and why it works

Renowned mathematician Subhash Khot joins IBM Research  

How IBM is using quantum computing to understand the operating system of the universe

What happens when information theory accounts for reasoning?

Demonstrating a theoretical separation between quantum computers and large language models

Mathematical Sciences

Exploratory Science

Physical Sciences

Quantum Algorithms

Computer Science

Quantum Software

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Quantum

Technology impacts every aspect of our work and lives. It is imperative that technology is built responsibly to reduce differential effects on various populations. At IBM Research, we are working to ensure that the technologies we create promote beneficial outcomes for our clients and for the world.

Responsible Technology

IBM has been at the forefront of computer science research since the field’s inception. Our research today focuses on achieving breakthroughs in automation, information processing, and computation. Our goal is to complement and extend human performance — and advance society as a whole. 

We’re working on automation, information processing, and computation research to complement and extend human performance and advance society.

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.

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.



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


Our researchers seek to answer some of the most fundamental questions. We strive for a greater understanding of how our world works and how we can harness that knowledge to advance science, mathematics, and computation.

Exploratory Science

Our work

Demonstrating a theoretical separation between quantum computers and large language models

What happens when information theory accounts for reasoning?

How IBM is searching for quantum advantage in differential equations

A new playbook for quantum optimization benchmarking

The fast Fourier transform, how and why it works

Renowned mathematician Subhash Khot joins IBM Research

Topics

Computer Science

Mathematical Sciences

Physical Sciences

Responsible Technology

Publications

From Fragments to Drugs: How AI and In Silico Methods Accelerate Fragment-to-Lead Optimization

SQISign on ARM

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study

A Quantum Reservoir for Neurodynamical Forecasting

Practical Example of Optimal Scheduling of Hybrid Quantum-Classical Workflows

OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents