Antonio Mezzacapo
@antoniomezzacapo.bsky.social
Principal Research Scientist, technical lead @IBM Quantum - NY
Happy to see our paper "Chemistry beyond the scale of exact diagonalization on a quantum-centric supercomputer" on the journal cover of Science Advances.
Our work established a new standard for what is possible to do with quantum computers today, together with HPC.
www.science.org/toc/sciadv/c...
Our work established a new standard for what is possible to do with quantum computers today, together with HPC.
www.science.org/toc/sciadv/c...
June 18, 2025 at 11:36 PM
Happy to see our paper "Chemistry beyond the scale of exact diagonalization on a quantum-centric supercomputer" on the journal cover of Science Advances.
Our work established a new standard for what is possible to do with quantum computers today, together with HPC.
www.science.org/toc/sciadv/c...
Our work established a new standard for what is possible to do with quantum computers today, together with HPC.
www.science.org/toc/sciadv/c...
Looking forward to attend the APS global physics summit next week. I will give a talk on Monday about our recent results in collaboration with RIKEN and ORNL
summit.aps.org/events/MAR-C...
Also check our path to FTQC and the other IBM Quantum talks in this post by Jay Gambetta: lnkd.in/e__iGptR
summit.aps.org/events/MAR-C...
Also check our path to FTQC and the other IBM Quantum talks in this post by Jay Gambetta: lnkd.in/e__iGptR
March 15, 2025 at 5:26 PM
Looking forward to attend the APS global physics summit next week. I will give a talk on Monday about our recent results in collaboration with RIKEN and ORNL
summit.aps.org/events/MAR-C...
Also check our path to FTQC and the other IBM Quantum talks in this post by Jay Gambetta: lnkd.in/e__iGptR
summit.aps.org/events/MAR-C...
Also check our path to FTQC and the other IBM Quantum talks in this post by Jay Gambetta: lnkd.in/e__iGptR
I am very excited that this work is out today on the arXiv: arxiv.org/pdf/2501.09702
We wondered for quite some time if a sample-based quantum diagonalization method could have convergence guarantees similar to phase estimation, while retaining the noise robustness of a sample-based method.
We wondered for quite some time if a sample-based quantum diagonalization method could have convergence guarantees similar to phase estimation, while retaining the noise robustness of a sample-based method.
January 17, 2025 at 9:37 PM
I am very excited that this work is out today on the arXiv: arxiv.org/pdf/2501.09702
We wondered for quite some time if a sample-based quantum diagonalization method could have convergence guarantees similar to phase estimation, while retaining the noise robustness of a sample-based method.
We wondered for quite some time if a sample-based quantum diagonalization method could have convergence guarantees similar to phase estimation, while retaining the noise robustness of a sample-based method.