Machine learning algorithms Archives - IEEE Transactions on Quantum Engineering

Equivariant Quantum Approximate Optimization Algorithm

January 16, 2026Boris Tsvelikhovskiy, Ilya Safro, Yuri AlexeevQuantum ComputingApproximation algorithms, Heuristic algorithms, Linear programming, Machine learning algorithms, Mixers, Optimization, Partitioning algorithms, Quantum circuit, Standards, Stationary state

Abstract: Constructing effective mixer Hamiltonians is essential for enhancing the performance of the quantum approximate optimization algorithm (QAOA) in solving combinatorial optimization problems. In this work, we develop a systematic methodology for designing QAOA mixers that align with the symmetries of the classical objective function, with the goal of achieving values (mean, median, and minimum […]

Convolutional Neural Decoder for Surface Codes

To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of errors in the qubits. Among QEC codes, topological QEC codes are designed to interact between the neighboring qubits, which is a promising property for easing the implementation requirements. In addition, the locality to the […]