The Role of Entanglement in Quantum-Relaxation Based Optimization Algorithms
Author:
Affiliation:
1. The Univ. of Tokyo,Dept. of Computer Science,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10313590/10313591/10313720.pdf?arnumber=10313720
Reference32 articles.
1. A comparative study on solving optimization problems with exponentially fewer qubits;winderl;ArXiv Preprint,2022
2. An exponentially more efficient optimization algorithm for noisy quantum computers;rancic;ArXiv Preprint,2021
3. Dense quantum coding and a lower bound for 1-way quantum automata
4. Solving various NP-hard problems using exponentially fewer qubits on a quantum computer;chatterjee;ArXiv Preprint,2023
5. Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows
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1. Exponential qubit reduction in optimization for financial transaction settlement;EPJ Quantum Technology;2024-08-14
2. Qubit Efficient Quantum Algorithms for the Vehicle Routing Problem on Noisy Intermediate‐Scale Quantum Processors;Advanced Quantum Technologies;2024-04-21
3. Noise Robustness of Quantum Relaxation for Combinatorial Optimization;IEEE Transactions on Quantum Engineering;2024
4. Evaluating Quantum Algorithms for Linear Solver Workflows;Lecture Notes in Computer Science;2023
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