Results 61 to 70 of about 2,386 (159)
Portfolio optimization with digitized counterdiabatic quantum algorithms
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era.
N. N. Hegade +5 more
doaj +1 more source
Dynamic programming in economics on a quantum annealer
We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin in a superposition of all states and generate candidate global solutions in milliseconds, regardless of problem size.
Jesús Fernández‐Villaverde +1 more
wiley +1 more source
Investigating quantum approximate optimization algorithms under bang-bang protocols
The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices. We analyze the algorithm as a bang-bang protocol with fixed total time and a randomized greedy optimization ...
Daniel Liang +2 more
doaj +1 more source
Quantum dropout: On and over the hardness of quantum approximate optimization algorithm
A combinatorial optimization problem becomes very difficult in situations where the energy landscape is rugged, and the global minimum locates in a narrow region of the configuration space. When using the quantum approximate optimization algorithm (QAOA)
Zhenduo Wang (王朕铎) +3 more
doaj +1 more source
A new methodology is proposed to solve classical Boolean problems as Hamiltonians, using the quantum approximate optimization algorithm (QAOA). Our methodology successfully finds all optimized approximated solutions for Boolean problems, after converting them from Boolean oracles (in different structures) into Phase oracles, and then into the ...
Al-Bayaty, Ali, Perkowski, Marek
openaire +2 more sources
ABSTRACT Quantum technologies, driven by principles of quantum mechanics like superposition and entanglement, have shown transformative potential in drug discovery, medical diagnosis, precision medicine, and other therapeutic interventions. However, the research on emerging quantum technologies at early to late stages of development for healthcare ...
Oshin Sharma +4 more
wiley +1 more source
The Quantum Approximate Optimization Algorithm (QAOA) is a promising variational algorithm for solving combinatorial optimization problems on near-term devices. However, as the number of layers in a QAOA circuit increases, which is correlated with the quality of the solution, the number of parameters to optimize grows linearly.
Parry, Owain, McMinn, Phil
openaire +2 more sources
Abstract Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imaging, sensing, and quantum information processing.
Yuheng Chen +18 more
wiley +1 more source
Performance of parity QAOA for the signed Max-Cut problem
The practical implementation of quantum optimization algorithms on noisy intermediate-scale quantum devices requires accounting for their limited connectivity. As such, the Parity architecture was introduced to overcome this limitation by encoding binary
Anita Weidinger +4 more
doaj +1 more source
This research has been supported by the Spanish Government under research projects TIN2016-79190-R and PID2019-106263RB-I00/AEI/10.13039/501100011033, and by the Principality of Asturias under grant FC-GRUPIN-IDI/2018/000176. A. Oddi and R. Rasconi were supported by the ESA Contract No.
Arufe Rivas, Lis +4 more
openaire +1 more source

