Access the latest research from Cleveland Clinic and more with Qiskit Function templates
News
Leanne Cherry, Jennifer Glick, Sanket Panda, and Elena Peña Tapia
Quantum Circuits and Software
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.
Our work
How real researchers are using Qiskit circuit functions to accelerate their experiments
ExplainerSuhare Nur, Sanket Panda, Francisco Martin, SheshaShayee Raghunathan, and Robert DavisA year of simplifying quantum software development tools with Qiskit
Technical noteBlake Johnson, Ismael Faro, Sanket Panda, Abby Mitchell, and Robert DavisIBM Quantum delivers on performance challenge made two years ago
NewsJay Gambetta and Ryan MandelbaumAnnouncing the Qiskit Functions Catalog
ReleaseSuhare Nur, Tushar Mittal, Jennifer Glick, Sanket Panda, and Ryan MandelbaumQiskit Serverless sets the stage for Qiskit Functions in the cloud
Technical noteKaelyn Ferris, Sanket Panda, and Robert Davis- See more of our work on Quantum Circuits and Software
Publications
Benchmarking the performance of quantum computing software for quantum circuit creation, manipulation and compilation
- Paul Nation
- Abdullah Ash Saki
- et al.
- 2025
- Nat. Comput. Sci.
Sample-based quantum diagonalization for electronic structure on quantum-centric supercomputers
- Mario Motta
- 2025
- ACS Spring 2025
Variational preparation of normal matrix product states on quantum computers
- Ben Jaderberg
- George Pennington
- et al.
- 2025
- APS Global Physics Summit 2025
Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows
- Shikhar Srivastava
- Mridulanka Nath
- et al.
- 2024
- HiPC 2024
Flag-Proxy Networks: Overcoming the Architectural, Scheduling and Decoding Obstacles of Quantum LDPC Codes
- Suhas Vittal
- Ali Javadi
- et al.
- 2024
- MICRO 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
- Emre Sahin
- Benjamin C.B. Symons
- et al.
- 2024
- Quantum