IBM and Vanguard explore quantum optimization for portfolio construction
Research
Roberto Lo Nardo and Gabriele Agliardi
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
IBM Quantum Credits: Apply today for access to cutting-edge IBM quantum capabilities
NewsKatie Harrison, Sieglinde Pfaendler, Sanskriti Deva, Leanne Cherry, and Robert DavisRelay-BP: The world’s fastest, most accurate decoder for qLDPC error correction codes
ExplainerLeanne CherryThe dawn of quantum advantage
ExplainerRyan Mandelbaum, Jay Gambetta, Borja Peropadre, and Olivia LanesCase study: Moderna and IBM use quantum computing to model mRNA structure
Case studyLeanne CherryResearchers at USC demonstrate exponential quantum scaling speedup
ReleaseJennifer Janechek- See more of our work on Quantum Information Science
Publications
Towards secondary structure prediction of longer mRNA sequences using a quantum-centric optimization scheme
- Vaibhaw Kumar
- Dimitris Alevras
- et al.
- 2025
- QCE 2025
Co-optimization of codon usage and mRNA secondary structure using quantum computing
- Dimitris Alevras
- Mihir Metkar
- et al.
- 2025
- QCE 2025
Tour de gross: A modular quantum computer based on bivariate bicycle codes
- Theodore Yoder
- Eddie Schoute
- et al.
- 2025
- QCE 2025
Exploring the Challenges of Integrating HPC and Quantum Computing
- Oscar Wallis
- Stefano Mensa
- et al.
- 2025
- QCE 2025
Hybrid quantum-classical simulation of periodic materials
- Rodrigo Neumann Barros Ferreira
- Alan Duriez
- et al.
- 2025
- ACS Fall 2025
Reducing the quantum resource requirements for simulating molecules: Generalized entanglement forging
- Tanvi Gujarati
- Ieva Liepuoniute
- et al.
- 2025
- ACS Fall 2025