Demonstrating a theoretical separation between quantum computers and large language models
Research
Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi, Rik Sengupta, and Ryan Mandelbaum
Computer Science
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.
Our work
A new playbook for quantum optimization benchmarking
Q & ARobert DavisLike the information in a dream: IBM’s Charles H. Bennett receives ACM Turing award
NewsRobert DavisThe quest to teach LLMs how to count
ResearchKim MartineauIntroducing ado: The accelerated discovery orchestrator
Technical noteAlessandro Pomponio and Michael JohnstonTowards a generative future for computing
ReleaseMike Murphy- See more of our work on Computer Science
Publications
Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study
- Ira Ceka
- Hailie Mitchell
- et al.
- 2026
- ISSTA 2026
Conference paperOpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents
- Akashah Shabbir
- Muhammad Umer Sheikh
- et al.
- 2026
- ECCV 2026
Conference paperAccelerating Presto with GPUs
- Daniel Bauer
- Luis Garcés Erice
- et al.
- 2026
- VLDB 2026
Workshop paperStructured State Management for Agentic Data Pipelines: Bounded Context, Schema Contracts, and Selective Recovery
- Shubhi Asthana
- Chad Deluca
- et al.
- 2026
- VLDB 2026
Workshop paperThe SQInstructor: a guide to SQIsign and the Deuring Correspondence with level structures
- Giacomo Borin
- Luca De Feo
- et al.
- 2026
- CRYPTO 2026
Conference paperSemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
- Inwon Kang
- Kavitha Srinivas
- et al.
- 2026
- KDD 2026
Conference paper