Encoding patterns for quantum algorithms
As quantum computers are based on the laws of quantum mechanics, they are capable of
solving certain problems faster than their classical counterparts. However, quantum …
solving certain problems faster than their classical counterparts. However, quantum …
Expanding data encoding patterns for quantum algorithms
As quantum computers are based on the laws of quantum mechanics, they are capable of
solving certain problems faster than their classical counterparts. However, often algorithms …
solving certain problems faster than their classical counterparts. However, often algorithms …
Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices
Noisy intermediate-scale quantum (NISQ) devices are restricted by their limited number of
qubits and their short decoherence times. An approach addressing these problems is …
qubits and their short decoherence times. An approach addressing these problems is …
Configurable readout error mitigation in quantum workflows
Current quantum computers are still error-prone, with measurement errors being one of the
factors limiting the scalability of quantum devices. To reduce their impact, a variety of …
factors limiting the scalability of quantum devices. To reduce their impact, a variety of …
Automating the comparison of quantum compilers for quantum circuits
For very specific problems, quantum advantage has recently been demonstrated. However,
current NISQ computers are error-prone and only support small numbers of qubits. This …
current NISQ computers are error-prone and only support small numbers of qubits. This …
[PDF][PDF] Patterns for quantum error handling
The capabilities of current quantum computers are limited by their high error rates. Thus,
reducing the impact of these errors is one of the crucial challenges for the successful …
reducing the impact of these errors is one of the crucial challenges for the successful …
Selection and optimization of hyperparameters in warm-started quantum optimization for the MaxCut problem
Today's quantum computers are limited in their capabilities, eg, the size of executable
quantum circuits. The Quantum Approximate Optimization Algorithm (QAOA) addresses …
quantum circuits. The Quantum Approximate Optimization Algorithm (QAOA) addresses …
Prioritization of compiled quantum circuits for different quantum computers
Quantum computers can solve certain problems faster than classical computers. The
number of quantum computers offered via the cloud increases such that a variety is …
number of quantum computers offered via the cloud increases such that a variety is …
Automated quantum hardware selection for quantum workflows
The execution of a quantum algorithm typically requires various classical pre-and post-
processing tasks. Hence, workflows are a promising means to orchestrate these tasks …
processing tasks. Hence, workflows are a promising means to orchestrate these tasks …
[PDF][PDF] An Exploratory Study on the Challenges of Engineering Quantum Applications in the Cloud.
The rapid evolution of quantum computation in the cloud creates considerable opportunities
for multiple real-world application scenarios, including chemical simulation, optimization …
for multiple real-world application scenarios, including chemical simulation, optimization …