activity
20242026
most citedThe infrastructure powering IBM's Gen AI model development

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Lindblad Multiproduct Formulas

Niall F. Robertson, Andrea D'Urbano, Anton Dekusar +11

We introduce Lindblad Multiproduct Formulas: a quantum error mitigation technique that uses two-dimensional tensor networks contracted with loop-corrected belief propagation. The q…

quant-ph2026

Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer

William Kirby, Bibek Pokharel, Javier Robledo Moreno +25

Demonstrating quantum advantage over classical algorithms for ground state energy problems is an outstanding open problem in quantum computation. We experimentally demonstrate that…

cs.ET2026

Scaling Sample-Based Quantum Diagonalization on GPU-Accelerated Systems using OpenMP Offload

Robert Walkup, Juha Jäykkä, Igor Pasichnyk +14

Hybrid quantum-HPC algorithms advance research by delegating complex tasks to quantum processors and using HPC systems to orchestrate workflows and complementary computations. Samp…

quant-ph2025

Closed-loop calculations of electronic structure on a quantum processor and a classical supercomputer at full scale

Tomonori Shirakawa, Javier Robledo-Moreno, Toshinari Itoko +18

Quantum computers must operate in concert with classical computers to deliver on the promise of quantum advantage for practical problems. To achieve that, it is important to unders…

cs.DC2024★ 1 cited

The infrastructure powering IBM's Gen AI model development

Talia Gershon, Seetharami Seelam, Brian Belgodere +143

AI Infrastructure plays a key role in the speed and cost-competitiveness of developing and deploying advanced AI models. The current demand for powerful AI infrastructure for model…