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20132026
most citedQuantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

85 citations · 206 across the 17 of their papers we have counts for

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quant-ph2026

Transduction-Enabled Superconducting Quantum Repeater: Toward Deterministic Entanglement Distribution with High-Fidelity Gates

Francesco Fiorini, Jing Wu, Andrew Cameron +5

Long-distance entanglement distribution is hindered by photon loss in optical fibers and the nocloning theorem. Optical quantum repeater (QR) protocols rely on Bell state measureme…

quant-ph2026

Universal Optimization and Tighter Fidelity Bounds for Approximate Quantum Error Correction

Jing Wu, Michele Grossi, Doga Kurkcuoglu +1

Approximate quantum error correction (AQEC) extends the framework of discrete- and continuous-variable quantum error correction beyond the Knill-Laflamme (KL) conditions, where the…

quant-ph2026

Sparse Phase Ansatzes for Resource-Efficient Qudit State Preparation via the SNAP-Displacement Protocol

Maurizio Ferrari Dacrema, Doga Murat Kurkcuoglu, Andy C. Y. Li +2

Efficient preparation of nonclassical bosonic states is a central requirement for quantum computing, simulation, and precision metrology. We study resource-efficient quantum state…

quant-ph2025

Ultracoherent superconducting cavity-based multiqudit platform with error-resilient control

Taeyoon Kim, Tanay Roy, Xinyuan You +26

Realizing the promise of quantum computing requires simultaneously increasing Hilbert-space size and coherence times. While qubit-based architectures have long been the dominant pa…

quant-ph2025

Inference of response functions with the help of machine learning algorithms

Doga Murat Kurkcuoglu, Alessandro Roggero, Gabriel N. Perdue +1

Response functions are a key quantity to describe the near-equilibrium dynamics of strongly-interacting many-body systems. Recent techniques that attempt to overcome the challenges…

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★ 22 cited

Preparing quantum many-body scar states on quantum computers

Erik J. Gustafson, Andy C. Y. Li, Abid Khan +6

Quantum many-body scar states are highly excited eigenstates of many-body systems that exhibit atypical entanglement and correlation properties relative to typical eigenstates at t…

quant-ph2022

Some aspects of noise in binary classification with quantum circuits

Yonghoon Lee, Doga Murat Kurkcuoglu, Gabriel Nathan Perdue

We formally study the effects of a restricted single-qubit noise model inspired by real quantum hardware, and corruption in quantum training data, on the performance of binary clas…

quant-ph2022★ 24 cited

Quantum computing hardware for HEP algorithms and sensing

M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman +37

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Ty…

quant-ph2021★ 28 cited

Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model

Andy C. Y. Li, M. Sohaib Alam, Thomas Iadecola +8

Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general quantum simulation algorithms likely require…

quant-ph2021

Quantum simulation of theories in qudit systems

Doga Murat Kurkcuoglu, M. Sohaib Alam, Joshua Adam Job +4

We discuss the implementation of quantum algorithms for lattice theory on circuit quantum electrodynamics (cQED) system. The field is represented on qudits in a discretized f…