1 citations · 2 across the 8 of their papers we have counts for
8 papers
Encoded Quantum Signal Processing for Heisenberg-Limited Metrology
Carlos Ortiz Marrero, Rui Jie Tang, Nathan Wiebe
Entangled quantum probes can achieve Heisenberg-limited measurement precision, but this advantage is typically destroyed by noise. We address this issue by introducing a framework…
Nonlocal Games as Cross-Platform Quantum Benchmarks: Exceeding unconditional classical bounds on trapped-ion processors
Anton T. Than, Jim Furches, Debopriyo Biswas +15
Nonlocal games provide application-level benchmarks for quantum hardware whose classical performance bounds are information-theoretic, holding against all classical strategies rega…
Hybridlane: A Software Development Kit for Hybrid Continuous-Discrete Variable Quantum Computing
Jim Furches, Timothy J. Stavenger, Carlos Ortiz Marrero
Hybrid quantum computing systems that combine discrete-variable qubits with continuous-variable qumodes offer promising advantages for quantum simulation, error correction, and sen…
Classical and Quantum Algorithms for Topological Invariants of Torus Bundles
Nelson Abdiel Colón Vargas, Carlos Ortiz Marrero
Computing topological invariants of 3-manifolds is generally intractable, yet specialized algebraic structures can enable efficient algorithms. For Witten-Reshetikhin-Turaev (WRT)…
Hybrid continuous-discrete-variable quantum computing: a guide to utility
A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman +24
Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid…
Entropic Analysis of Time Series through Kernel Density Estimation
Audun Myers, Bill Kay, Iliana Alvarez +5
This work presents a novel framework for time series analysis using entropic measures based on the kernel density estimate (KDE) of the time series' Takens' embeddings. Using this…
Adaptive Quantum Generative Training using an Unbounded Loss Function
Kyle Sherbert, Jim Furches, Karunya Shirali +2
We propose a generative quantum learning algorithm, Rényi-ADAPT, using the Adaptive Derivative-Assembled Problem Tailored ansatz (ADAPT) framework in which the loss function to be…
Using Skew to Assess the Quality of GAN-generated Image Features
Lorenzo Luzi, Helen Jenne, Ryan Murray +1
The rapid advancement of Generative Adversarial Networks (GANs) necessitates the need to robustly evaluate these models. Among the established evaluation criteria, the FréchetIncep…