Advantages of multistage quantum walks over QAOA
Methods to find the solution state for optimization problems encoded into Ising Hamiltonians are a very active area of current research. In this work we compare the quantum approximate optimization algorithm (QAOA) with multi-stage quantum walks (MSQW).
Gerblich, Lasse +6 more
openaire +2 more sources
Transferability of optimal QAOA parameters between random graphs [PDF]
Alexey Galda +4 more
openalex +1 more source
Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Engelsberger A +2 more
europepmc +1 more source
Extending QAOA-GPT to Higher-Order Quantum Optimization Problems
Sunny, Leanto +2 more
openalex +1 more source
Knapsack Problem variants of QAOA for battery revenue optimisation [PDF]
Pierre Dupuy de la Grand'rive +1 more
openalex +1 more source
Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut. [PDF]
Lee X +7 more
europepmc +1 more source
QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]
Lella KK, Mallu SRK.
europepmc +1 more source
Quantum simulation and optimization in hot quantum networks
Cirac, J. +6 more
core +1 more source
Generating Target Graph Couplings for QAOA from Native Quantum Hardware Couplings [PDF]
Joel Rajakumar +4 more
openalex +1 more source
Quantum approximate multi-objective optimization. [PDF]
Kotil A +6 more
europepmc +1 more source

