Quantum algorithms for quantum dynamics
Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …
mechanical systems pose some of the hardest ones and offer a natural playground for the …
Molecular quantum dynamics: A quantum computing perspective
Conspectus Simulating molecular dynamics (MD) within a comprehensive quantum
framework has been a long-standing challenge in computational chemistry. An exponential …
framework has been a long-standing challenge in computational chemistry. An exponential …
Solving nonlinear differential equations with differentiable quantum circuits
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using
a quantum feature map encoding, we define functions as expectation values of parametrized …
a quantum feature map encoding, we define functions as expectation values of parametrized …
The bitter truth about gate-based quantum algorithms in the NISQ era
Implementing a gate-based quantum algorithm on an noisy intermediate scale quantum
(NISQ) device has several challenges that arise from the fact that such devices are noisy …
(NISQ) device has several challenges that arise from the fact that such devices are noisy …
Quantum risk analysis
We present a quantum algorithm that analyzes risk more efficiently than Monte Carlo
simulations traditionally used on classical computers. We employ quantum amplitude …
simulations traditionally used on classical computers. We employ quantum amplitude …
Hybrid quantum algorithms for flow problems
For quantum computing (QC) to emerge as a practically indispensable computational tool,
there is a need for quantum protocols with end-to-end practical applications—in this …
there is a need for quantum protocols with end-to-end practical applications—in this …
Encoding patterns for quantum algorithms
As quantum computers are based on the laws of quantum mechanics, they are capable of
solving certain problems faster than their classical counterparts. However, quantum …
solving certain problems faster than their classical counterparts. However, quantum …
[HTML][HTML] A survey on HHL algorithm: From theory to application in quantum machine learning
Abstract The Harrow-Hassidim-Lloyd (HHL) algorithm is a method to solve the quantum
linear system of equations that may be found at the core of various scientific applications …
linear system of equations that may be found at the core of various scientific applications …
Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning
Z Ding, W Su, Y Luo, L Ye, H Wu, H Yao - Journal of Materials …, 2023 - pubs.rsc.org
The development of patterned graphene metasurface absorbers (PGMAs) offers potential
solutions for achieving light weight, thinness, wide absorption bandwidth, and tunable …
solutions for achieving light weight, thinness, wide absorption bandwidth, and tunable …
Expanding data encoding patterns for quantum algorithms
As quantum computers are based on the laws of quantum mechanics, they are capable of
solving certain problems faster than their classical counterparts. However, often algorithms …
solving certain problems faster than their classical counterparts. However, often algorithms …