84 citations · 296 across the 19 of their papers we have counts for
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Neural Architecture Search Algorithms for Quantum Autoencoders
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +1
The design of quantum circuits is currently driven by the specific objectives of the quantum algorithm in question. This approach thus relies on a significant manual effort by the…
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +2
In the present noisy intermediate scale quantum computing era, there is a critical need to devise methods for the efficient implementation of gate-based variational quantum circuit…
Learning To Optimize Quantum Neural Network Without Gradients
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +1
Quantum Machine Learning is an emerging sub-field in machine learning where one of the goals is to perform pattern recognition tasks by encoding data into quantum states. This exte…
Compressed Quadratization of Higher Order Binary Optimization Problems
Avradip Mandal, Arnab Roy, Sarvagya Upadhyay +1
Recent hardware advances in quantum and quantum-inspired annealers promise substantial speedup for solving NP-hard combinatorial optimization problems compared to general-purpose c…
Multilevel Combinatorial Optimization Across Quantum Architectures
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre +3
Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore's law supercomputing era. However, the limited numbe…
Network Community Detection On Small Quantum Computers
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro +2
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 classic…
Community Detection Across Emerging Quantum Architectures
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro +2
One of the roadmap plans for quantum computers is an integration within HPC ecosystems assigning them a role of accelerators for a variety of computationally hard tasks. However, i…
Graph Partitioning using Quantum Annealing on the D-Wave System
Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Susan M. Mniszewski
In this work, we explore graph partitioning (GP) using quantum annealing on the D-Wave 2X machine. Motivated by a recently proposed graph-based electronic structure theory applied…