activity
20232026
most citedQuantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS

9 citations · 31 across the 10 of their papers we have counts for

collaborators

10 papers

cs.PL2026

GPU Offload in Rust: Portable, Safe, and Fast

Manuel S. Drehwald, Marcelo Domínguez, Kevin Sala +2

High-performance GPU programming has traditionally forced a compromise between execution efficiency and memory safety. While Rust guarantees compile-time memory safety for host CPU…

physics.chem-ph2025

SynTwins: A Retrosynthesis-Guided Framework for Synthesizable Molecular Analog Generation

Shuan Chen, Gunwook Nam, Alan Aspuru-Guzik +1

The disconnect between AI-generated molecules with desirable properties and their synthetic feasibility remains a critical bottleneck in computational discovery of drugs and materi…

quant-ph2024★ 5 cited

Quantum Algorithm for Vibronic Dynamics: Case Study on Singlet Fission Solar Cell Design

Danial Motlagh, Robert A. Lang, Paarth Jain +5

Vibronic interactions between nuclear motion and electronic states are critical for the accurate modeling of photochemistry. However, accurate simulations of fully quantum non-adia…

quant-ph2024★ 2 cited

Faster Algorithmic Quantum and Classical Simulations by Corrected Product Formulas

Mohsen Bagherimehrab, Luis Mantilla Calderon, Dominic W. Berry +6

Hamiltonian simulation using product formulas is arguably the most straightforward and practical approach for algorithmic simulation of a quantum system's dynamics on a quantum com…

quant-ph2024★ 3 cited

Feasibility of accelerating homogeneous catalyst discovery with fault-tolerant quantum computers

Nicole Bellonzi, Alexander Kunitsa, Joshua T. Cantin +16

The industrial manufacturing of chemicals consumes a significant amount of energy and raw materials. In principle, the development of new catalysts could greatly improve the effici…

cs.CV2024

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data

Sagi Eppel, Jolina Li, Manuel Drehwald +1

Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infec…

quant-ph2024★ 9 cited

Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS

Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam +19

The discovery of small molecules with therapeutic potential is a long-standing challenge in chemistry and biology. Researchers have increasingly leveraged novel computational techn…

quant-ph2024★ 2 cited

Chemically Motivated Simulation Problems are Efficiently Solvable by a Quantum Computer

Philipp Schleich, Lasse Bjørn Kristensen, Jorge A. Campos Gonzalez Angulo +6

Simulating chemical systems is highly sought after and computationally challenging, as the number of degrees of freedom increases exponentially with the size of the system. Quantum…

quant-ph2024★ 9 cited

The generative quantum eigensolver (GQE) and its application for ground state search

Kouhei Nakaji, Lasse Bjørn Kristensen, Ryota Kemmoku +14

We introduce the generative quantum eigensolver (GQE), a new quantum computational framework that operates outside the variational quantum algorithm paradigm by applying classical…

cs.LG2023★ 1 cited

Sorting Out Quantum Monte Carlo

Jack Richter-Powell, Luca Thiede, Alán Asparu-Guzik +1

Molecular modeling at the quantum level requires choosing a parameterization of the wavefunction that both respects the required particle symmetries, and is scalable to systems of…