activity
20192026
most citedInitial state preparation for quantum chemistry on quantum computers

48 citations · 78 across the 18 of their papers we have counts for

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13 papers · 1 filter

quant-ph2026

Theory and practice of Trotter product formulas for quantum chemistry

Pablo A. M. Casares, William Maxwell, Danial Motlagh +7

Trotter product formulas are a fundamental class of methods for Hamiltonian simulation, particularly attractive due to their low qubit requirements. However, they are often overloo…

quant-ph2026

Practical Estimation of Trotter Error for Hamiltonian Simulation

William Maxwell, Pablo A. M. Casares, Robert A. Lang +7

Trotter product formulas are a leading approach for Hamiltonian simulation on quantum computers, yet their practical performance has remained difficult to assess due to the challen…

quant-ph2026

Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials

Ignacio Loaiza, Alexander Kunitsa, Stepan Fomichev +9

Resonant inelastic X-ray scattering (RIXS) is the workhorse experimental technique for probing the structural degradation of higher-capacity cathode materials. However, the interpr…

quant-ph2026

Quantum Simulations for Extreme Ultraviolet Photolithography

Tyler D. Kharazi, Stepan Fomichev, Shu Kanno +4

A key challenge of extreme ultraviolet (EUV) lithography in semiconductor fabrication is the line edge roughness or "blur" produced by the electron cascades following absorption of…

quant-ph2025

Quantum Algorithms for Photoreactivity in Cancer-Targeted Photosensitizers

Yanbing Zhou, Pablo A. M. Casares, Diksha Dhawan +5

Photodynamic therapy (PDT) is a targeted cancer treatment that uses light-activated photosensitizers to generate reactive oxygen species that selectively destroy tumor cells, gener…

quant-ph2025

Filtered Quantum Phase Estimation

Gwonhak Lee, Minhyeok Kang, Jungsoo Hong +2

Accurate state preparation is a critical bottleneck in many quantum algorithms, particularly those for ground-state energy estimation. Even in fault-tolerant quantum computing, pre…

quant-ph2025

Quantum Simulation of Electron Energy Loss Spectroscopy for Battery Materials

Alexander Kunitsa, Diksha Dhawan, Stepan Fomichev +3

The dynamic structure factor (DSF) is a central quantity for interpreting a vast array of inelastic scattering experiments in chemistry and materials science, but its accurate simu…

quant-ph2025★ 4 cited

Trotter simulation of vibrational Hamiltonians on a quantum computer

Shreyas Malpathak, Sangeeth Das Kallullathil, Ignacio Loaiza +3

Simulating vibrational dynamics is essential for understanding molecular structure, unlocking useful applications such as vibrational spectroscopy for high-fidelity chemical detect…

quant-ph2025

Quantum algorithms to detect ODMR-active defects for quantum sensing applications

Pablo A. M. Casares, Yanbing Zhou, Utkarsh Azad +6

Spin defects in two-dimensional materials are a promising platform for quantum sensing. Simulating the defect's optical response and optically detected magnetic resonance (ODMR) co…

quant-ph2025★ 1 cited

Fast simulations of X-ray absorption spectroscopy for battery materials on a quantum computer

Stepan Fomichev, Pablo A. M. Casares, Jay Soni +5

X-ray absorption spectroscopy (XAS) is a leading technique for understanding structural changes in advanced battery materials such as lithium-excess cathodes. However, extracting c…

quant-ph2025★ 1 cited

Simulating near-infrared spectroscopy on a quantum computer for enhanced chemical detection

Ignacio Loaiza, Stepan Fomichev, Danial Motlagh +5

Near-infrared (NIR) spectroscopy is a non-invasive, low-cost, reagent-less, and rapid technique to measure chemical concentrations in a wide variety of sample types. However, extra…

quant-ph2024★ 1 cited

Simulating X-ray absorption spectroscopy of battery materials on a quantum computer

Stepan Fomichev, Kasra Hejazi, Ignacio Loaiza +5

X-ray absorption spectroscopy is a crucial experimental technique for elucidating the mechanisms of structural degradation in battery materials. However, extracting information fro…

quant-ph2023★ 48 cited

Initial state preparation for quantum chemistry on quantum computers

Stepan Fomichev, Kasra Hejazi, Modjtaba Shokrian Zini +8

Quantum algorithms for ground-state energy estimation of chemical systems require a high-quality initial state. However, initial state preparation is commonly either neglected enti…