How sample-based quantum diagonalization works on IBM hardware @ibmresearch
How sample-based quantum diagonalization works on IBM hardware  @ibmresearch
Uploaded May 2026 | Updated September 2026, 1 week ago
Sample-based Quantum Diagonalization (SQD) is a hybrid method for understanding how electrons behave inside molecules. It employs 'quantum-centric supercomputing' where a quantum computer explores the hardest part of the electron problem (the strongly interacting configurations) while classical supercomputers handle structure, correction, and refinement.

Read more here:
research.ibm.com/blog/how-to-use-sample-based-quantum-diagonalization-on-ibm-hardware
How sample-based quantum diagonalization works on IBM hardwareHow an invisible watermark can keep tabs on tabular data for AIQuantum questions with Charles H. BennettRealizing large-scale, fault-tolerant quantum computingCelebrating 10 years of IBM Quantum on the cloud
IBM Research |

How sample-based quantum diagonalization works on IBM hardware

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER