Daniel Basilewitsch
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View article: AutoQML: A Framework for Automated Quantum Machine Learning
AutoQML: A Framework for Automated Quantum Machine Learning Open
Automated Machine Learning (AutoML) has significantly advanced the efficiency of ML-focused software development by automating hyperparameter optimization and pipeline construction, reducing the need for manual intervention. Quantum Machin…
View article: Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images Open
We compare the performance of randomized classical and quantum neural networks (NNs) as well as classical and quantum-classical hybrid convolutional neural networks (CNNs) for the task of supervised binary image classification. We keep the…
View article: Quantum optimal control of squeezing in cavity optomechanics
Quantum optimal control of squeezing in cavity optomechanics Open
Squeezing is a non-classical feature of quantum states that is a useful\nresource, for example in quantum sensing of mechanical forces. Here, we show\nhow to use optimal control theory to maximize squeezing in an optomechanical\nsetup with…
View article: Ion-Based Quantum Computing Hardware: Performance and End-User Perspective
Ion-Based Quantum Computing Hardware: Performance and End-User Perspective Open
This is the second paper in a series of papers providing an overview of different quantum computing hardware platforms from an industrial end-user perspective. It follows our first paper on neutral-atom quantum computing. In the present pa…
View article: Comparing planar quantum computing platforms at the quantum speed limit
Comparing planar quantum computing platforms at the quantum speed limit Open
An important aspect that strongly impacts the experimental feasibility of quantum circuits is the ratio of gate times and typical error time scales. Algorithms with circuit depths that significantly exceed the error time scales will result…
View article: Chaotic fluctuations in a universal set of transmon qubit gates
Chaotic fluctuations in a universal set of transmon qubit gates Open
Transmon qubits arise from the quantization of nonlinear resonators, systems that are prone to the buildup of strong, possibly chaotic, fluctuations. Such instabilities will likely affect fast gate operations which involve the transient po…
View article: Data underpinning "Chaotic fluctuations in a universal set of transmon qubit gates"
Data underpinning "Chaotic fluctuations in a universal set of transmon qubit gates" Open
Transmon qubits arise from the quantization of nonlinear resonators, systems that are prone to the buildup of strong, possibly even chaotic, fluctuations. One may wonder to what extent fast gate operations, which involve the transient popu…
View article: Data underpinning "Chaotic fluctuations in a universal set of transmon qubit gates"
Data underpinning "Chaotic fluctuations in a universal set of transmon qubit gates" Open
Transmon qubits arise from the quantization of nonlinear resonators, systems that are prone to the buildup of strong, possibly even chaotic, fluctuations. One may wonder to what extent fast gate operations, which involve the transient popu…
View article: Comparing planar quantum computing platforms at the quantum speed limit
Comparing planar quantum computing platforms at the quantum speed limit Open
An important aspect that strongly impacts the experimental feasibility of quantum circuits is the ratio of gate times and typical error time scales. Algorithms with circuit depths that significantly exceed the error time scales will result…
View article: Correction: Increasing ion yield circular dichroism in femtosecond photoionisation using optimal control theory
Correction: Increasing ion yield circular dichroism in femtosecond photoionisation using optimal control theory Open
Correction for ‘Increasing ion yield circular dichroism in femtosecond photoionisation using optimal control theory’ by Manel Mondelo-Martell et al. , Phys. Chem. Chem. Phys. , 2022, 24 , 9286–9297, https://doi.org/10.1039/D1CP05239J.
View article: Data for "Engineering strong beamsplitter interaction between bosonic modes via quantum optimal control theory"
Data for "Engineering strong beamsplitter interaction between bosonic modes via quantum optimal control theory" Open
The file contains all data presented in the figures of the corresponding paper.
View article: Engineering strong beamsplitter interaction between bosonic modes via quantum optimal control theory
Engineering strong beamsplitter interaction between bosonic modes via quantum optimal control theory Open
In continuous-variable quantum computing with qubits encoded in the infinite-dimensional Hilbert space of bosonic modes, it is a difficult task to realize strong and on-demand interactions between the qubits. One option is to engineer a be…
View article: Increasing ion yield circular dichroism in femtosecond photoionisation using optimal control theory
Increasing ion yield circular dichroism in femtosecond photoionisation using optimal control theory Open
We use optimal control theory and quantum dynamical simulations to show that shaped electromagnetic pulses can increase the difference in absorption of the enantiomers of fenchone in an effective two-level description.
View article: Fundamental bounds on qubit reset
Fundamental bounds on qubit reset Open
Qubit reset is a key task in the operation of quantum devices which, for many quantum hardware platforms, presently limits device clock speed. While it is known that coupling the qubit to an ancilla on demand allows for the fastest qubit r…
View article: Optimally controlled quantum discrimination and estimation
Optimally controlled quantum discrimination and estimation Open
Quantum discrimination and estimation are pivotal for many quantum technologies, and their performance depends on the optimal choice of probe state and measurement. Here we show that their performance can be further improved by suitably ta…
View article: Krotov: A Python implementation of Krotov's method for quantum optimal control
Krotov: A Python implementation of Krotov's method for quantum optimal control Open
We present a new open-source Python package, krotov, implementing the quantum optimal control method of that name. It allows to determine time-dependent external fields for a wide range of quantum control problems, including state-to-state…
View article: Report on 1902.11284v4
Report on 1902.11284v4 Open
We present a new open-source Python package, krotov, implementing the quantum optimal control method of that name.It allows to determine time-dependent external fields for a wide range of quantum control problems, including state-tostate t…
View article: Reservoir engineering using quantum optimal control for qubit reset
Reservoir engineering using quantum optimal control for qubit reset Open
We determine how to optimally reset a superconducting qubit which interacts with a thermal environment in such a way that the coupling strength is tunable. Describing the system in terms of a time-local master equation with time-dependent …
View article: Report on 1902.11284v3
Report on 1902.11284v3 Open
We present a new open-source Python package, krotov, implementing the quantum optimal control method of that name.It allows to determine time-dependent external fields for a wide range of quantum control problems, including state-tostate t…
View article: Time-optimal control of the purification of a qubit in contact with a structured environment
Time-optimal control of the purification of a qubit in contact with a structured environment Open
We investigate the time-optimal control of the purification of a qubit interacting with a structured environment, consisting of a strongly coupled two-level defect in interaction with a thermal bath. On the basis of a geometric analysis, w…
View article: Quantum Optimal Control for Mixed State Squeezing in Cavity Optomechanics
Quantum Optimal Control for Mixed State Squeezing in Cavity Optomechanics Open
The performance of key tasks in quantum technology, such as accurate state preparation, can be maximized by utilizing external controls and deriving their shape with optimal control theory. For non‐pure target states, the performance measu…
View article: Quantum Optimal Control for Mixed State Squeezing
Quantum Optimal Control for Mixed State Squeezing Open
Accurate state preparation, a key requirement for quantum technology, is often carried out with external controls. In order to obtain maximum performance, the pulse shape of the controls can be derived using optimal control theory, by mini…
View article: Beating the limits with initial correlations
Beating the limits with initial correlations Open
Fast and reliable reset of a qubit is a key prerequisite for any quantum\ntechnology. For real world open quantum systems undergoing non-Markovian\ndynamics, reset implies not only purification, but in particular erasure of\ninitial correl…