The dawn of quantum advantage
Explainer
Ryan Mandelbaum, Jay Gambetta, Borja Peropadre, and Olivia Lanes
Quantum Information Science
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.
Our work
Case study: Moderna and IBM use quantum computing to model mRNA structure
Case studyLeanne CherryResearchers at USC demonstrate exponential quantum scaling speedup
ReleaseJennifer JanechekAccess the latest research from Cleveland Clinic and more with Qiskit Function templates
NewsLeanne Cherry, Jennifer Glick, Sanket Panda, and Elena Peña TapiaFrom Representation to Revolution: Celebrating the FFT and the Future of Computing
ExplainerAlessandro Curioni, Jay Gambetta, and Ryan MandelbaumHow IBM will build the world's first large-scale, fault-tolerant quantum computer
NewsRyan Mandelbaum, Jay Gambetta, Jerry Chow, Tushar Mittal, Theodore J. Yoder, Andrew Cross, and Matthias Steffen- See more of our work on Quantum Information Science
Publications
Entanglement-enhanced learning of quantum noise at scale
- Alireza Seif
- Senrui Chen
- et al.
- 2025
- QSim 2025
A sample-based quantum diagonalization framework for periodic solids
- Alan Duriez
- Pamela Costa Carvalho
- et al.
- 2025
- QSim 2025
Krylov diagonalization of large many-body Hamiltonians on a quantum processor
- Nobuyuki Yoshioka
- Mirko Amico
- et al.
- 2025
- Nature Communications
RF Hardware for Large-Scale Superconducting Quantum Computing
- 2025
- IMS 2025
A 5.6-100K, 128ppm/K Cryo-CMOS Current Reference
- Subhajit Ray
- David Frank
- et al.
- 2025
- VLSI Technology and Circuits 2025
How quantum computing can enhance biomarker discovery
- Frederik F. Flöther
- Daniel Blankenberg
- et al.
- 2025
- Patterns