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Elijah Pelofske

Research Scientist

Los Alamos National Laboratory

United States

Research Interests

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Articles (20)

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Collaborators (4)

Cristiano Nisoli

Staff Scientist

Los Alamos National Laboratory

UNITED STATES

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Andreas Bärtschi

Lecturer & Researcher

ZHAW Zürcher Hochschule für Angewandte Wissenschaften

SWITZERLAND

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Piotr Czarnik

Assistant professor

Jagiellonian University

POLAND

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Lukasz Cincio

Staff Scientist

Los Alamos National Laboratory

UNITED STATES

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Elijah Pelofske

Research Interests

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Articles (20)

Magnetic memory and hysteresis from quantum transitions in theory and experiments on quantum annealers

Magnetic Hysteresis Experiments Performed on Quantum Annealers

Evaluating the limits of Quantum Approximate Optimization Algorithm parameter transfer at high rounds on sparse Ising models with geometrically local cubic terms

Boltzmann sampling of frustrated J1−J2 Ising models with programmable quantum annealers

Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence

Classical combinatorial optimization scaling for random Ising models on 2D heavy-hex graphs

Efficient online quantum circuit learning with no upfront training

Quantum approximate multi-objective optimization

Biased degenerate ground-state sampling of small Ising models with converged quantum approximate optimization algorithm

Comparing three generations of D-Wave quantum annealers for minor embedded combinatorial optimization problems

Provable bounds for noise-free expectation values computed from noisy samples

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs

Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation

Probing Quantum Telecloning on Superconducting Quantum Processors

Short-Depth QAOA circuits and Quantum Annealing on Higher-Order Ising Models

4-clique Network Minor Embedding for Quantum Annealers

Analysis of a Programmable Quantum Annealer as a Random Number Generator

JuliQAOA: Fast, Flexible QAOA Simulation

Initial State Encoding via Reverse Quantum Annealing and h-gain Features

Mapping state transition susceptibility in quantum annealing

Collaborators (4)

Cristiano Nisoli

Andreas Bärtschi

Piotr Czarnik

Lukasz Cincio

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