65 citations · 100 across the 14 of their papers we have counts for
15 papers · 1 filter
Halving the cost of QROM again via dense encoding
Danial Motlagh
Quantum read only memory (QROM) is a substantial source of non-Clifford cost in fault-tolerant quantum algorithms. Borrowing dirty qubits can reduce this cost, provided their unkno…
Improved constant factors for qubitized Hamiltonian simulation
Matthew Pocrnic, Danial Motlagh
Quantum signal processing (QSP) serves as the asymptotically optimal technique for Hamiltonian simulation on a quantum computer. By approximating the time evolution operator via th…
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…
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…
Halving the cost of QROM
Danial Motlagh, Matthew Pocrnic
Table lookup, often referred to as quantum read only memory (QROM), is one of the most widely used subroutines in quantum algorithms, and constitutes the majority share of algorith…
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…
Quantum algorithm for simulating non-adiabatic dynamics at metallic surfaces
Robert A. Lang, Paarth Jain, Juan Miguel Arrazola +1
Non-adiabatic dynamics at molecule-metal interfaces govern diverse and technologically important phenomena, from heterogeneous catalysis to dye-sensitized solar energy conversion a…
Efficient Simulation of Pre-Born-Oppenheimer Dynamics on a Quantum Computer
Matthew Pocrnic, Ignacio Loaiza, Juan Miguel Arrazola +2
In this work, we present a quantum algorithm for direct first-principles simulation of electron-nuclear dynamics on a first-quantized real-space grid. Our algorithm achieves best-i…
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…
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…
Nonlinear Spectroscopy via Generalized Quantum Phase Estimation
Ignacio Loaiza, Danial Motlagh, Kasra Hejazi +3
Response theory has a successful history of connecting experimental observations with theoretical predictions. Of particular interest is the optical response of matter, from which…
Ground State Preparation via Dynamical Cooling
Danial Motlagh, Modjtaba Shokrian Zini, Juan Miguel Arrazola +1
Quantum algorithms for probing ground-state properties of quantum systems require good initial states. Projection-based methods such as eigenvalue filtering rely on inputs that hav…
Doubling Efficiency of Hamiltonian Simulation via Generalized Quantum Signal Processing
Dominic W. Berry, Danial Motlagh, Giacomo Pantaleoni +1
Quantum signal processing provides an optimal procedure for simulating Hamiltonian evolution on a quantum computer using calls to a block encoding of the Hamiltonian. In many situa…
Generalized Quantum Signal Processing
Danial Motlagh, Nathan Wiebe
Quantum Signal Processing (QSP) and Quantum Singular Value Transformation (QSVT) currently stand as the most efficient techniques for implementing functions of block encoded matric…
Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage
Manuel S. Rudolph, Jacob Miller, Danial Motlagh +3
While recent breakthroughs have proven the ability of noisy intermediate-scale quantum (NISQ) devices to achieve quantum advantage in classically-intractable sampling tasks, the us…