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Ingo Roth

As seen in: Nature, Science Magazine, Physical Review B
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Articles by Ingo Roth

Robustly learning the Hamiltonian dynamics of a superconducting quantum processor - Nature Communications

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By Dominik Hangleiter, Ingo Roth, Jens Eisert, Jonáš Fuksa
| Nature Verified
Abstract Precise means of characterizing analog quantum simulators are key to developing quantum simulators capable of beyond-classical computations. Here, we precisely estimate the free Hamiltonian parameters of a superconducting-qubit analog quantum simulator from measured time-series data on up to 14 qubits.
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Compressive Gate Set Tomography

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By Ingo Roth, Abu Dhabi, Freie Universität Berlin, Raphael Brieger
| Physical Review B
Flexible characterization techniques that provide a detailed picture of the experimental imperfections under realistic assumptions are crucial to gain actionable advice in the development of quantum computers. Gate set tomography self-consistently extracts a complete tomographic description of the implementation of an entire set of quantum gates, as well as the initial state and measurement, from experimental data.
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Theory of Quantum System Certification

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By Martin Kliesch, Heinrich Heine Düsseldorf, Ingo Roth, Freie Universität Berlin
| Physical Review B
Abstract The precise control of complex quantum systems promises numerous technological applications including digital quantum computing. The complexity of such devices renders the certification of their correct functioning a challenge. To address this challenge, numerous methods were developed in the last decade. In this tutorial, we explain prominent protocols for certifying the physical layer of quantum devices described by quantum states and processes.
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Easing the Monte Carlo sign problem

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By Dominik Hangleiter, Freie Universität Berlin, Ingo Roth, Daniel Nagaj
| Science Magazine Verified
Abstract Quantum Monte Carlo (QMC) methods are the gold standard for studying equilibrium properties of quantum many-body systems. However, in many interesting situations, QMC methods are faced with a sign problem, causing the severe limitation of an exponential increase in the runtime of the QMC algorithm.
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Performance of Hierarchical Sparse Detectors for Massive MTC

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By Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
| tu-dresden.de
Contributors Gerhard Wunder - , Free University of Berlin (Author) Ingo Roth - , Free University of Berlin (Author) Rick Fritschek - , Free University of Berlin (Author) Jens Eisert - , Free University of Berlin (Author) Abstract Recently, a new class of so-called \emph{hierarchical thresholding algorithms} was introduced to optimally exploit the sparsity structure in joint user activity and channel detection problems.
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