Having made significant advancements in understanding living organisms at various levels
such as genes, cells, molecules, tissues, and pathways, the field of life sciences is now …

Silicon photonics is promising for quantum photonics applications owing to its large‐scale
and high‐performance circuitry enabled by complementary‐metal‐oxide‐semiconductor …

We investigate the effects of photon loss and spectrally impure sources on Gaussian boson
sampling (GBS) when used in dense-subgraph-finding algorithms. We find that the …

We present a quantum-inspired classical algorithm that can be used for graph-theoretical
problems, such as finding the densest k subgraph and finding the maximum weight clique …

Although molecular vibronic spectra generation is pivotal for chemical analysis, tackling
such exponentially complex tasks on classical computers remains inefficient. Quantum …

By strongly driving a transmon-resonator system, the transmon qubit may eventually escape
from its cosine-shaped potential. This process is called transmon ionization (TI) and known …

Obtaining all perfect matchings of a graph is a tough problem in graph theory, and its
complexity belongs to the# P-Complete class. The problem is closely related to …

Gaussian boson sampling (GBS) is a promising candidate for an experimental
demonstration of quantum advantage using photons. However, sufficiently large noise might …

Quantum simulation, as a practical application of noisy quantum computing, has aided the
study of exotic quantum matters and the implementation of algorithms that outperform …

We analyze the Hilbert space connectivity of the L site PXP model by constructing the
Hamiltonian matrices via a Gray code numbering of basis states. The matrices are all formed …