Results 41 to 50 of about 4,386 (222)
Physical Review Research, 2022 The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems.
Linghua Zhu +6 more
doaj +1 more source
Quantum machine learning: a classical perspective [PDF]
, 2018 Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning techniques to impressive results in regression, classification, data-generation and reinforcement learning tasks.
Ben-David S +15 more
core +2 more sources
Entropic property of randomized QAOA circuits
Laser Physics Letters, 2023 Abstract Quantum approximate optimization algorithm (QAOA) aims to solve discrete optimization problems by sampling bitstrings using a parameterized quantum circuit. The circuit parameters (angles) are optimized in the way that minimizes the cost Hamiltonian expectation value.
Chernyavskiy, A. Yu. +2 more
openaire +2 more sources
Instance Independence of Single Layer Quantum Approximate Optimization Algorithm on Mixed-Spin Models at Infinite Size [PDF]
Quantum, 2021 This paper studies the application of the Quantum Approximate Optimization Algorithm (QAOA) to spin-glass models with random multi-body couplings in the limit of a large number of spins. We show that for such mixed-spin models the performance of depth $1$
Jahan Claes, Wim van Dam
doaj +1 more source
QuASeR -- Quantum Accelerated De Novo DNA Sequence Reconstruction
, 2020 In this article, we present QuASeR, a reference-free DNA sequence reconstruction implementation via de novo assembly on both gate-based and quantum annealing platforms.
Al-Ars, Zaid +2 more
core +1 more source
Linearly simplified QAOA parameters and transferability [PDF]
10 pages, 12 figures, submitted to 2024 IEEE International Conference on Quantum Computing and Engineering (QCE24)
Ryo Sakai +4 more
openalex +3 more sources
Parameter Setting in Quantum Approximate Optimization of Weighted Problems [PDF]
QuantumQuantum Approximate Optimization Algorithm (QAOA) is a leading candidate algorithm for solving combinatorial optimization problems on quantum computers. However, in many cases QAOA requires computationally intensive parameter optimization.
Shree Hari Sureshbabu +6 more
doaj +1 more source
Integer Factorization through Func-QAOA
, 2023 Integer factorization is a significant problem, with implications for the security of widely-used cryptographic schemes. No efficient classical algorithm for polynomial-time integer factorization has been found despite extensive research. Although Peter Shor's breakthrough quantum algorithm offers a viable solution, current limitations of noisy ...
Atallah, Mostafa +7 more
openaire +2 more sources
Multi-angle quantum approximate optimization algorithm
Scientific Reports, 2022 The quantum approximate optimization algorithm (QAOA) generates an approximate solution to combinatorial optimization problems using a variational ansatz circuit defined by parameterized layers of quantum evolution.
Rebekah Herrman +4 more
doaj +1 more source
Network Community Detection On Small Quantum Computers
, 2019 In recent years a number of quantum computing devices with small numbers of qubits became available. We present a hybrid quantum local search (QLS) approach that combines a classical machine and a small quantum device to solve problems of practical size.
Alexeev, Yuri +4 more
core +1 more source