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Quantum Computing in Wireless Communications and Networking: A Tutorial-Cum-Survey
Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
Qubit-reuse compilation with mid-circuit measurement and reset
A number of commercially available quantum computers, such as those based on trapped-
ion or superconducting qubits, can now perform mid-circuit measurements and resets. In …
ion or superconducting qubits, can now perform mid-circuit measurements and resets. In …
Quantum KNN Classification With K Value Selection and Neighbor Selection
The K-nearest neighbors (KNNs) algorithm is one of Top-10 data mining algorithms and is
widely used in various fields of artificial intelligence. This leads to that quantum KNN …
widely used in various fields of artificial intelligence. This leads to that quantum KNN …
QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines
The design of fast algorithms for combinatorial optimization greatly contributes to a plethora
of domains such as logistics, finance, and chemistry. Quantum approximate optimization …
of domains such as logistics, finance, and chemistry. Quantum approximate optimization …
[HTML][HTML] Short-depth QAOA circuits and quantum annealing on higher-order ising models
We present a direct comparison between QAOA (Quantum Alternating Operator Ansatz), and
QA (Quantum Annealing) on 127 qubit problem instances. QAOA with p= 1, 2 rounds is …
QA (Quantum Annealing) on 127 qubit problem instances. QAOA with p= 1, 2 rounds is …
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 …
Unsupervised strategies for identifying optimal parameters in quantum approximate optimization algorithm
As combinatorial optimization is one of the main quantum computing applications, many
methods based on parameterized quantum circuits are being developed. In general, a set of …
methods based on parameterized quantum circuits are being developed. In general, a set of …
Distributed quantum computing: Applications and challenges
JC Boschero, NMP Neumann… - ar** hotspot nodes
Quantum Approximate Optimization Algorithm (QAOA) is one of the leading candidates for
demonstrating the quantum advantage using near-term quantum computers. Unfortunately …
demonstrating the quantum advantage using near-term quantum computers. Unfortunately …
Performance analysis of multi-angle QAOA for
In this paper we consider the scalability of multi-angle QAOA with respect to the number of
QAOA layers. We found that MA-QAOA is able to significantly reduce the depth of QAOA …
QAOA layers. We found that MA-QAOA is able to significantly reduce the depth of QAOA …