3k citations · 7.4k across the 49 of their papers we have counts for
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Polynomial-time exact diagonalization via sparse guided eigenwalks
Zachary E. Chin, Mario Motta, Javier Robledo Moreno +3
Computing quantum ground states is generically difficult, but additional structure can sometimes allow diagonalization to be recast as a more feasible problem. For example, when th…
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…
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…
Molecular Quantum Computations on a Protein
Akhil Shajan, Danil Kaliakin, Fangchun Liang +7
This work presents the implementation of a fragment-based, quantum-centric supercomputing workflow for computing molecular electronic structure using quantum hardware. The workflow…
Shallow-circuit Supervised Learning on a Quantum Processor
Luca Candelori, Swarnadeep Majumder, Antonio Mezzacapo +6
Quantum computing has long promised transformative advances in data analysis, yet practical quantum machine learning has remained elusive due to fundamental obstacles such as a ste…