Antonio Mezzacapo

Roland C. Farrell

Marc Illa

Anthony N. Ciavarella

Martin J. Savage

Javier Robledo-Moreno

Simone Cantori

Marcel Pfaffhauser

Iskandar Sitdikov

Daniel J. Egger

Elisa Bäumer

Fabio Scafirimuto

Robert Davis

Maika Takita

Ryan Mandelbaum

News

Research

Explainer

Quantum working groups push for near-term use cases

Simulating the universe’s most extreme environments with utility-scale quantum computation

A new metric to help find quantum advantage for ground state problems

Advancing quantum algorithms for large-scale simulations of quantum spin chains

Demonstrating a true realization of quantum-centric supercomputing

Dynamic circuits enable essential circuit cutting methods for quantum-centric supercomputing

Using dynamic circuits to efficiently implement quantum states with long-range entanglement

Quantum

QCE 2024

MICRO 2024

Quantum Error Correction & Mitigation

Quantum Use Cases

Qiskit

Quantum Community

Quantum Systems

Quantum Research

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.

Quantum Error Correction

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 Circuits and 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. 