Search Results for author: Eleanor Rieffel

Found 9 papers, 2 papers with code

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

no code implementations22 Mar 2023 Thomas Templin, Milad Memarzadeh, Walter Vinci, P. Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel

Moreover, the DVAE model with RBM prior can be easily integrated with quantum sampling by outsourcing its generative process to measurements of quantum states obtained from a quantum annealer or gate-model device.

Anomaly Detection Time Series

Character randomized benchmarking for non-multiplicity-free groups with applications to subspace, leakage, and matchgate randomized benchmarking

1 code implementation30 Oct 2020 Jahan Claes, Eleanor Rieffel, Zhihui Wang

Finally, we derive a scalable RB protocol for the matchgate group, a group that like the Clifford group is non-universal but becomes universal with the addition of one additional gate.

Quantum Physics

High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder

no code implementations13 Jun 2020 Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna Nemani, Eleanor Rieffel

Quantum machine learning is touted as a potential approach to demonstrate quantum advantage within both the gate-model and the adiabatic schemes.

Quantum Machine Learning Vocal Bursts Intensity Prediction

Planning for Compilation of a Quantum Algorithm for Graph Coloring

no code implementations23 Feb 2020 Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Rieffel, Jeremy Frank

Previous work demonstrated that temporal planning is an attractive approach for part of this compilationtask, specifically, the routing of circuits that implement the Quantum Alternating Operator Ansatz (QAOA) applied to the MaxCut problem on a quantum processor architecture.

Optimizing quantum heuristics with meta-learning

no code implementations8 Aug 2019 Max Wilson, Sam Stromswold, Filip Wudarski, Stuart Hadfield, Norm M. Tubman, Eleanor Rieffel

Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation.

Bayesian Optimization Meta-Learning

Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning

no code implementations23 Apr 2019 Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Rieffel

We present an algorithm for learning a latent variable generative model via generative adversarial learning where the canonical uniform noise input is replaced by samples from a graphical model.

Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation

no code implementations19 Mar 2018 Kyle E. C. Booth, Minh Do, J. Christopher Beck, Eleanor Rieffel, Davide Venturelli, Jeremy Frank

Our hybrid methods use solutions found by temporal planning to warm start CP, leveraging the ability of the former to find satisficing solutions to problems with a high degree of task optionality, an area that CP typically struggles with.

Compiling quantum circuits to realistic hardware architectures using temporal planners

no code implementations24 May 2017 Davide Venturelli, Minh Do, Eleanor Rieffel, Jeremy Frank

We investigate the application of temporal planners to the problem of compiling quantum circuits to newly emerging quantum hardware.

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