[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Tensor networks for quantum machine learning
Once developed for quantum theory, tensor networks (TNs) have been established as a
successful machine learning (ML) paradigm. Now, they have been ported back to the …
successful machine learning (ML) paradigm. Now, they have been ported back to the …
Optimizing resource efficiencies for scalable full-stack quantum computers
In the race to build scalable quantum computers, minimizing the resource consumption of
their full stack to achieve a target performance becomes crucial. It mandates a synergy of …
their full stack to achieve a target performance becomes crucial. It mandates a synergy of …
The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling
D Huo, W Gu, D Guo, A Tang - Energy Economics, 2024 - Elsevier
This research examines the energy efficiency of city districts through the Malmquist–DEA
model and investigates the spatial effects of the service trade and the digital economy on …
model and investigates the spatial effects of the service trade and the digital economy on …
Entanglement entropy production in quantum neural networks
Abstract Quantum Neural Networks (QNN) are considered a candidate for achieving
quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several …
quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several …
Quantum-inspired sensitive data measurement and secure transmission in 5G-enabled healthcare systems
The exponential advancement witnessed in 5G communication and quantum computing has
presented unparalleled prospects for safeguarding sensitive data within healthcare …
presented unparalleled prospects for safeguarding sensitive data within healthcare …
Digital quantum simulation of lattice fermion theories with local encoding
We numerically analyze the feasibility of a platform-neutral, general strategy to perform
quantum simulations of fermionic lattice field theories under open boundary conditions. The …
quantum simulations of fermionic lattice field theories under open boundary conditions. The …
Strong simulation of linear optical processes
In this paper, we provide an algorithm and general framework for the simulation of photons
passing through linear optical interferometers. Given n photons at the input of an m-mode …
passing through linear optical interferometers. Given n photons at the input of an m-mode …
Quantum computers, quantum computing, and quantum thermodynamics
Quantum thermodynamics aims to extend standard thermodynamics and non-equilibrium
statistical physics to systems with sizes well below the thermodynamic limit. It is a rapidly …
statistical physics to systems with sizes well below the thermodynamic limit. It is a rapidly …
Opportunities for quantum computing within net-zero power system optimization
Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …
reliability transition path to net-zero carbon emissions. The major technological changes …