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09/09/2023
Fast Simulation of High-Depth QAOA Circuits
Until high-fidelity quantum computers with a large number of qubits beco...
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03/29/2023
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact a...
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11/29/2022
Numerical evidence against advantage with quantum fidelity kernels on classical data
Quantum machine learning techniques are commonly considered one of the m...
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06/14/2022
Bandwidth Enables Generalization in Quantum Kernel Models
Quantum computers are known to provide speedups over classical state-of-...
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04/30/2022
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator
The Quantum Approximate Optimization Algorithm (QAOA) is a promising can...
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11/09/2021
Importance of Kernel Bandwidth in Quantum Machine Learning
Quantum kernel methods are considered a promising avenue for applying qu...
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02/10/2021
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers
Combinatorial optimization on near-term quantum devices is a promising p...
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12/08/2020
Classical symmetries and QAOA
We study the relationship between the Quantum Approximate Optimization A...
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11/25/2019
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Quantum computing is a computational paradigm with the potential to outp...
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11/11/2019
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
Quantum computing exploits basic quantum phenomena such as state superpo...
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10/22/2019
Multilevel Combinatorial Optimization Across Quantum Architectures
Emerging quantum processors provide an opportunity to explore new approa...
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10/10/2019
Evaluating Quantum Approximate Optimization Algorithm: A Case Study
Quantum Approximate Optimization Algorithm (QAOA) is one of the most pro...
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09/09/2019
Hypergraph Partitioning With Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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09/09/2019
Partition Hypergraphs with Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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02/03/2019
Making Quantum Computing Open: Lessons from Open-Source Projects
Quantum computing (QC) is an emerging computing paradigm with potential ...
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10/01/2018
Community Detection Across Emerging Quantum Architectures
One of the roadmap plans for quantum computers is an integration within ...
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02/26/2018
Aggregative Coarsening for Multilevel Hypergraph Partitioning
Algorithms for many hypergraph problems, including partitioning, utilize...
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10/18/2017