2 citations · 2 across the 4 of their papers we have counts for
5 papers
Benchmarking a randomized quantum algorithm for estimating expectation values of molecular observables
Anna Schroeder, Gian-Luca R. Anselmetti, Matthias Degroote +5
Randomized quantum algorithms for the estimation of expectation values of molecular observables offer a promising route to early fault-tolerant quantum advantage by trading circuit…
Certifying Quantum Gates via Automata Advantage
Anna Schroeder, Lucas B. Vieira, Jan Nöller +2
There is growing interest in developing rigorous tests of quantumness that are feasible even before practical quantum advantages become a reality. Such tests not only aim to certif…
An Efficient Quantum Classifier Based on Hamiltonian Representations
Federico Tiblias, Anna Schroeder, Yue Zhang +2
Quantum machine learning (QML) is a discipline that seeks to transfer the advantages of quantum computing to data-driven tasks. However, many studies rely on toy datasets or heavy…
Deterministic Ansätze for the Measurement-based Variational Quantum Eigensolver
Anna Schroeder, Matthias Heller, Mariami Gachechiladze
Measurement-based quantum computing (MBQC) is a promising approach to reducing circuit depth in noisy intermediate-scale quantum algorithms such as the Variational Quantum Eigensol…
Classical and quantum cost of measurement strategies for quantum-enhanced auxiliary field Quantum Monte Carlo
Matthew Kiser, Anna Schroeder, Gian-Luca R. Anselmetti +4
Quantum-enhanced auxiliary field quantum Monte Carlo (QC-AFQMC) uses output from a quantum computer to increase the accuracy of its classical counterpart. The algorithm requires th…