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
Melting magnets with utility-scale quantum simulation: Researchers explore condensed-matter physics phenomena
ResearchEdward H. Chen and Robert DavisExploring the potential for quantum advantage in mathematical optimization
ResearchStefan Woerner, Ryan Mandelbaum, and Robert DavisUsing dynamic circuits to efficiently implement quantum states with long-range entanglement
ResearchSimone Cantori, Marcel Pfaffhauser, Elisa Bäumer, Fabio Scafirimuto, and Robert DavisDynamic circuits enable essential circuit cutting methods for quantum-centric supercomputing
ResearchDaniel J. Egger, Maika Takita, and Robert DavisDemonstrating a true realization of quantum-centric supercomputing
ExplainerRyan Mandelbaum and Iskandar SitdikovAdvancing quantum algorithms for large-scale simulations of quantum spin chains
ResearchSimone Cantori, Marcel Pfaffhauser, Fabio Scafirimuto, and Robert Davis- See more of our work on Quantum Information Science
Publications
Cutting circuits with multiple two-qubit unitaries
- Lukas Schmitt
- Christophe Piveteau
- et al.
- 2025
- Quantum
Modeling error correction with Lindblad dynamics and approximate channels
- Zohar Nowik
- Liran Shirizly
- et al.
- 2025
- Physical Review A
Randomized benchmarking protocol for dynamic circuits
- Liran Shirizly
- Luke Govia
- et al.
- 2025
- Physical Review A
Benchmarking Digital Quantum Simulations above Hundreds of Qubits Using Quantum Critical Dynamics
- 2024
- PRX Quantum
Flag-Proxy Networks: Overcoming the Architectural, Scheduling and Decoding Obstacles of Quantum LDPC Codes
- Suhas Vittal
- Ali Javadi
- et al.
- 2024
- MICRO 2024
Provable bounds for noise-free expectation values computed from noisy samples
- Samantha V. Barron
- Daniel J. Egger
- et al.
- 2024
- Nat. Comput. Sci.