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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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)…

quant-ph2025

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…

quant-ph2024

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…