124 citations · 985 across the 37 of their papers we have counts for
36 papers
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
Yanjun Ji, Dennis Willsch, Orkun Şensebat +8
Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a f…
How to find expressible and trainable parameterized quantum circuits?
Peter Röseler, Dennis Willsch, Kristel Michielsen
Whether parameterized quantum circuits (PQCs) can be systematically constructed to be both trainable and expressive remains an open question. Highly expressive PQCs often exhibit b…
Quantum Deep Learning: A Comprehensive Review
Yanjun Ji, Zhao-Yun Chen, Marco Roth +10
Quantum deep learning (QDL) explores the use of both quantum and quantum-inspired resources to determine when deep learning's core capabilities, such as expressivity, generalizatio…
Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits
Ronny Müller, Maximilian Zanner, Mika Schielein +8
We develop a parametric error model to construct a digital twin of a superconducting transmon qubit device. The model parameters are extracted from hardware calibration data and su…
Learning-Driven Annealing with Adaptive Hamiltonian Modification for Solving Large-Scale Problems on Quantum Devices
Sebastian Schulz, Dennis Willsch, Kristel Michielsen
We present Learning-Driven Annealing (LDA), a framework that links individual quantum annealing evolutions into a global solution strategy to mitigate hardware constraints such as…
Can foreign exchange rates violate Bell inequalities?
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
The analysis of empirical data through model-free inequalities leads to the conclusion that violations of Bell-type inequalities by empirical data cannot have any significance unle…
Stirring the false vacuum via interacting quantized bubbles on a 5564-qubit quantum annealer
Jaka Vodeb, Jean-Yves Desaules, Andrew Hallam +7
False vacuum decay is a potential mechanism governing the evolution of the early Universe, with profound connections to non-equilibrium quantum physics, including quenched dynamics…
Transfer learning of optimal QAOA parameters in combinatorial optimization
J. A. Montanez-Barrera, Dennis Willsch, Kristel Michielsen
Solving combinatorial optimization problems (COPs) is a promising application of quantum computation, with the Quantum Approximate Optimization Algorithm (QAOA) being one of the mo…
Guided quantum walk
Sebastian Schulz, Dennis Willsch, Kristel Michielsen
We utilize the theory of local amplitude transfers (LAT) to gain insights into quantum walks (QWs) and quantum annealing (QA) beyond the adiabatic theorem. By representing the eige…
Large-Scale Simulation of Shor's Quantum Factoring Algorithm
Dennis Willsch, Madita Willsch, Fengping Jin +2
Shor's factoring algorithm is one of the most anticipated applications of quantum computing. However, the limited capabilities of today's quantum computers only permit a study of S…
Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penalization Method on D-Wave Advantage
J. A. Montanez-Barrera, Pim van den Heuvel, Dennis Willsch +1
Combinatorial optimization problems are one of the target applications of current quantum technology, mainly because of their industrial relevance, the difficulty of solving large…
Einstein-Podolsky-Rosen-Bohm experiments: a discrete data driven approach
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
We take the point of view that building a one-way bridge from experimental data to mathematical models instead of the other way around avoids running into controversies resulting f…
Model-free inequality for data of Einstein-Podolsky-Rosen-Bohm experiments
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
We present a new inequality constraining correlations obtained when performing Einstein-Podolsky-Rosen-Bohm experiments. The proof does not rely on mathematical models that are ima…
Observation of Josephson Harmonics in Tunnel Junctions
Dennis Willsch, Dennis Rieger, Patrick Winkel +27
Approaches to developing large-scale superconducting quantum processors must cope with the numerous microscopic degrees of freedom that are ubiquitous in solid-state devices. State…
Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms
Alejandro Montanez-Barrera, Dennis Willsch, Alberto Maldonado-Romo +1
Solving combinatorial optimization problems of the kind that can be codified by quadratic unconstrained binary optimization (QUBO) is a promising application of quantum computation…
On the fragility of gate-error metrics in simulation models of flux-tunable transmon quantum computers
Hannes Lagemann, Dennis Willsch, Madita Willsch +3
Constructing a quantum computer requires immensely precise control over a quantum system. A lack of precision is often quantified by gate-error metrics, such as the average infidel…
Hybrid Quantum Classical Simulations
Dennis Willsch, Manpreet Jattana, Madita Willsch +4
We report on two major hybrid applications of quantum computing, namely, the quantum approximate optimisation algorithm (QAOA) and the variational quantum eigensolver (VQE). Both a…
Lecture Notes: Programming Quantum Computers
Madita Willsch, Dennis Willsch, Kristel Michielsen
Quantum computing is a new emerging computer technology. Current quantum computing devices are at a development stage where they are gradually becoming suitable for small real-worl…
Numerical analysis of effective models for flux-tunable transmon systems
Hannes Lagemann, Dennis Willsch, Madita Willsch +3
Simulations and analytical calculations that aim to describe flux-tunable transmons are usually based on effective models of the corresponding lumped-element model. However, when a…
Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems
Dennis Willsch, Madita Willsch, Carlos D. Gonzalez Calaza +4
We benchmark the quantum processing units of the largest quantum annealers to date, the 5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q, using t…
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Dennis Willsch, Madita Willsch, Fengping Jin +2
We study large-scale applications using a GPU-accelerated version of the massively parallel Jülich universal quantum computer simulator (JUQCS--G). First, we benchmark JUWELS Boost…
Garden optimization problems for benchmarking quantum annealers
Carlos D. Gonzalez Calaza, Dennis Willsch, Kristel Michielsen
We benchmark the 5000+ qubit system Advantage coupled with the Hybrid Solver Service 2 released by D-Wave Systems Inc. in September 2020 by using a new class of optimization proble…
Random State Technology
Fengping Jin, Dennis Willsch, Madita Willsch +3
We review and extend, in a self-contained way, the mathematical foundations of numerical simulation methods that are based on the use of random states. The power and versatility of…
Quantum non-demolition dispersive readout of a superconducting artificial atom using large photon numbers
Daria Gusenkova, Martin Spiecker, Richard Gebauer +13
Reading out the state of superconducting artificial atoms typically relies on dispersive coupling to a readout resonator. For a given system noise temperature, increasing the circu…