activity
20232026
most citedQuantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

85 citations · 140 across the 20 of their papers we have counts for

collaborators

21 papers

cs.SE2026

Benchmarking the Quantum Leap: Auditing LLM Evaluation for Quantum Code Generation

Ethan Seefried, Romit Ghosh, Sharmin Afrose +4

Large language models (LLMs) can generate quantum programs, but reliable evaluation remains difficult because benchmarks differ in task composition, scoring, and failure handling.…

quant-ph2026

Exploring the use of quantum computing for facilitating spatially and temporally resolved models of a biological cell

Muralikrishnan Gopalakrishnan Meena, Dileep Kishore, Jerry M. Parks +5

Whole-cell simulation, modeling all of a cell's functional systems over its life cycle, is an outstanding challenge in computational biology. Even the simplest living cell contains…

quant-ph2026

Distributed Quantum Optimization for Large-Scale Higher-Order Problems with Dense Interactions

Seongmin Kim, Vincent R. Pascuzzi, Travis S. Humble +5

Many real-world problems are naturally formulated as higher-order optimization (HUBO) tasks involving dense, multi-variable interactions, which are challenging to solve with classi…

quant-ph2026

LightStim: A Framework for QEC Protocol Evaluation and Prototyping with Automated DEM Construction

Xiang Fang, Ming Wang, Yue Wu +6

Fault-tolerant quantum computing increasingly demands rigorous, circuit-level evaluation of diverse quantum error correction (QEC) protocols and efficient prototyping of new ones.…

quant-ph2026

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey

Amir Shehata, Brian Austin, Tom Beck +22

Quantum resources are increasingly integrated into high-performance computing (HPC) and cloud environments, but quantum high-performance computing (QHPC) software stacks remain iso…

quant-ph2026

QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices

Aaron Hoyt, Meng Wang, Fei Hua +8

QASMTrans is a lightweight, high-performance, C++-based quantum compiler that bridges abstract quantum algorithms to device-level control and is designed for just-in-time (JIT) dep…

quant-ph2026

Bridging Superconducting and Neutral-Atom Platforms for Efficient Fault-Tolerant Quantum Architectures

Xiang Fang, Jixuan Ruan, Sharanya Prabhu +4

The transition to the fault-tolerant era exposes the limitations of homogeneous quantum systems, where no single qubit modality simultaneously offers optimal operation speed, conne…

quant-ph2025

Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors

Shane A. Caldwell, Moein Khazraee, Elena Agostini +27

We propose an architecture, called NVQLink, for connecting high-performance computing (HPC) resources to the control system of a quantum processing unit (QPU) to accelerate workloa…

quant-ph2025★ 4 cited

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

Gilles Buchs, Thomas Beck, Ryan Bennink +19

Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic…

quant-ph2025

TrapSIMD: SIMD-Aware Compiler Optimization for 2D Trapped-Ion Quantum Machines

Jixuan Ruan, Hezi Zhang, Xiang Fang +8

Modular trapped-ion (TI) architectures offer a scalable quantum computing (QC) platform, with native transport behaviors that closely resemble the Single Instruction Multiple Data…

quant-ph2025

OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing

Hezi Zhang, Jixuan Ruan, Dean Tullsen +3

Measurement-based quantum computing (MBQC), a.k.a. one-way quantum computing (1WQC), is a universal quantum computing model, which is particularly well-suited for photonic platform…

quant-ph2025

iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures

Keyi Yin, Xiang Fang, Zhuo Chen +9

Recent advances in quantum hardware and error correction have paved the way for early fault-tolerant (EFT) quantum computing. We propose iSwitch, a hybrid system architecture for t…

quant-ph2024

SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry

Keyi Yin, Xiang Fang, Jixuan Ruan +7

Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low…

quant-ph2024

CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction

Xiang Fang, Keyi Yin, Yuchen Zhu +8

Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, neces…

quant-ph2024

PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture

Jixuan Ruan, Xiang Fang, Hezi Zhang +3

Neutral atom-based quantum computers (NAQCs) have recently emerged as promising candidates for scalable quantum computing, largely due to their advanced hardware capabilities, part…

quant-ph2024★ 50 cited

Integrating Quantum Computing Resources into Scientific HPC Ecosystems

Thomas Beck, Alessandro Baroni, Ryan Bennink +15

Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces cha…

quant-ph2024★ 1 cited

Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation

Keyi Yin, Xiang Fang, Yunong Shi +3

In this paper, we introduce Surf-Deformer, a code deformation framework that seamlessly integrates adaptive defect mitigation functionality into the current surface code workflow.…

quant-ph2024

TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC

Ang Li, Chenxu Liu, Samuel Stein +7

Although there have been remarkable advances in quantum computing (QC), it remains crucial to simulate quantum programs using classical large-scale parallel computing systems to va…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023

QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices

Fei Hua, Meng Wang, Gushu Li +8

The success of a quantum algorithm hinges on the ability to orchestrate a successful application induction. Detrimental overheads in mapping general quantum circuits to physically…

quant-ph2023

QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Hardware Architectures

Keyi Yin, Hezi Zhang, Xiang Fang +4

Quantum Error Correction (QEC) codes are essential for achieving fault-tolerant quantum computing (FTQC). However, their implementation faces significant challenges due to disparit…