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20232026
most citedExponential Quantum Speedup for Simulation-Based Optimization Applications

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Hardware Realization of a Hamiltonian Simulation Algorithm for Time-Domain Maxwells Equations

Gautam Sharma, Apurva Tiwari, Niladri Gomes +3

We present the first quantum-hardware implementation of a Hamiltonian simulation algorithm that produces signed vector-field solutions to the time-domain Maxwells equations using a…

quant-ph2026

Quantum Lattice Boltzmann Solutions for Transport under 3D Spatially Varying Advection on Trapped Ion Hardware

Sayonee Ray, Jezer Jojo, Jason Iaconis +5

The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of problems in computational fluid dy…

quant-ph2025

Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method

Apurva Tiwari, Jason Iaconis, Jezer Jojo +4

The Quantum Lattice Boltzmann Method (QLBM) is one of the most promising approaches for realizing the potential of quantum computing in simulating computational fluid dynamics. Man…

quant-ph2025

Accelerating large-scale linear algebra using variational quantum imaginary time evolution

Willie Aboumrad, Daiwei Zhu, Claudio Girotto +6

The solution of large sparse linear systems via factorization methods such as LU or Cholesky decomposition, can be computationally expensive due to the introduction of non-zero ele…

quant-ph2024★ 1 cited

Quantum Algorithms for tensor-SVD

Jezer Jojo, Ankit Khandelwal, M Girish Chandra

A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm…

quant-ph2023★ 1 cited

On Modifying the Variational Quantum Singular Value Decomposition Algorithm

Jezer Jojo, Ankit Khandelwal, M Girish Chandra

In this work, we discuss two modifications that can be made to a known variational quantum singular value decomposition algorithm popular in the literature. The first is a change t…

quant-ph2023★ 2 cited

Exponential Quantum Speedup for Simulation-Based Optimization Applications

Jonas Stein, Lukas Müller, Leonhard Hölscher +10

The simulation of many industrially relevant physical processes can be executed up to exponentially faster using quantum algorithms. However, this speedup can only be leveraged if…