53 citations · 97 across the 11 of their papers we have counts for
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Approximate sampling from decoded quantum interferometry via Markov chain Monte Carlo methods
Elies Gil-Fuster, Matan Ninio, Lennart Bittel +4
Optimization problems are among the leading candidates for industrially relevant quantum advantage. Decoded quantum interferometry (DQI) has been proposed to tackle approximate opt…
Bowtie VarQTE: A Resource-Efficient Quantum State Preparation Primitive
Marc Drudis, Alberto Baiardi, Mattia Chiurco +3
The preparation of quantum states is a fundamental requirement for many quantum algorithms. A native route to preparing physically structured states is based on short-time simulati…
Efficient Fourier-Based Linear Combination of Unitaries and Applications in Quantum Optimization
Almudena Carrera Vazquez, Daniel J. Egger, Stefan Woerner
We investigate ancilla-free linear combination of unitaries (LCU) as a framework for approximating complex quantum circuits. This is particularly effective for quantum optimization…
The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers
Pranav Chandarana, Alejandro Gomez Cadavid, Enrique Solano +3
We perform an end-to-end benchmark of a hybrid sequential quantum computing (HSQC) solver for higher-order unconstrained binary optimization (HUBO), executed on IBM Heron r3 quantu…
Breaking concentration barriers for quantum extreme learning on digital quantum processors
Timothée Dao, Ege Yilmaz, Ibrahim Shehzad +8
Reservoir computing leverages rich, non-linear dynamics to process temporal data. Quantum variants promise enhanced expressivity from high-dimensional Hilbert spaces, yet their pra…
Mitigating errors in state preparation and measurement with noncomputational states
Conrad J. Haupt, Almudena Carrera Vazquez, Laurin E. Fischer +2
Error mitigation has enabled quantum computing applications with over one hundred qubits and deep circuits. Many error mitigation methods are noise-aware, relying on a faithful cha…
Approximate Quantum Fourier Transform in Logarithmic Depth on a Line
Elisa Bäumer, David Sutter, Stefan Woerner
The approximate quantum Fourier transform (AQFT) on qubits can be implemented in logarithmic depth using qubits with all-to-all connectivity, as shown in [Hales, PhD Thesi…
Quantum Optimization Benchmarking Library - The Intractable Decathlon
Thorsten Koch, David E. Bernal Neira, Ying Chen +24
Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particu…
Quantum Approximate Multi-Objective Optimization
Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller +4
The goal of multi-objective optimization is to understand optimal trade-offs between competing objective functions by finding the Pareto front, i.e., the set of all Pareto optimal…
Measurement-Based Long-Range Entangling Gates in Constant Depth
Elisa Bäumer, Stefan Woerner
The depth of quantum circuits is a critical factor when running them on state-of-the-art quantum devices due to their limited coherence times. Reducing circuit depth decreases nois…
Combining quantum processors with real-time classical communication
Almudena Carrera Vazquez, Caroline Tornow, Diego Riste +3
Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time, and is limited to a few qu…