Results 61 to 70 of about 1,254,139 (165)
Tight Lieb–Robinson Bound for approximation ratio in quantum annealing
Quantum annealing (QA) holds promise for optimization problems in quantum computing, especially for combinatorial optimization. This analog framework attracts attention for its potential to address complex problems.
Arthur Braida +2 more
doaj +1 more source
ABSTRACT Diabetic foot ulcer (DFU) is a chronic complication of diabetes, primarily caused by hyperglycemia, peripheral vascular disease, and neuropathy. Characterized by persistent hyperglycemia, impaired perfusion, inflammation, and infection, DFUs pose significant challenges to healing and are associated with high morbidity and amputation rates ...
Tang Yuqing +5 more
wiley +1 more source
Restricting the search space to boost Quantum Annealing performance
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum theory and Simulated Annealing (SA). It is based on quantum replicas, which explore an energy surface, and are less prone to be trapped in local minima ...
Cavarec, Baptiste +7 more
core +1 more source
On quantum phase crossovers in finite systems [PDF]
In this work we define a formal notion of a quantum phase crossover for certain Bethe ansatz solvable models. The approach we adopt exploits an exact mapping of the spectrum of a many-body integrable system, which admits an exact Bethe ansatz solution ...
Hibberd, Katrina E. +2 more
core +1 more source
Universal resources for quantum approximate optimization algorithm and quantum annealing
The quantum approximate optimization algorithm (QAOA) is a variational ansatz that resembles the Trotterized dynamics of a quantum annealing (QA) protocol.
Pablo Díez-Valle +3 more
doaj +1 more source
Due to reliability and performance considerations, employing multiple software-defined networking (SDN) controllers is known as a promising technique in Wireless Sensor Networks (WSNs).
Shirin Tahmasebi +5 more
doaj +1 more source
Quantum annealing with symmetric subspaces [PDF]
Quantum annealing (QA) is a promising approach for not only solving combinatorial optimization problems but also simulating quantum many-body systems such as those in condensed matter physics. However, non-adiabatic transitions constitute a key challenge
Imoto, Takashi +2 more
core +1 more source
Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading
This study presents an innovative approach for optimizing real-time energy market trading strategies by integrating Proximal Policy Optimization (PPO) with Quantum Annealing (QA).
Jinghui Wu +4 more
doaj +1 more source
Direct comparison of quantum and simulated annealing on a fully connected Ising ferromagnet [PDF]
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated annealing (SA, through a classical master equation) on the p-spin infinite range ferromagnetic Ising model, by slowly driving the system across its ...
Nishimori, Hidetoshi +8 more
core +1 more source
Comparing gate and annealing-based quantum computing for configuration-based design tasks
Complete exploration of design spaces is often computationally prohibitive. Classical search methods offer a solution but are limited by challenges like local optima and an inability to traverse dislocated design spaces.
Oliver Schiffmann +2 more
doaj +1 more source

