4 papers · ranked by Valyu relevance
Namasi G Sankar, Georgios Miliotis, Simon Caton
Genome assembly is important in infectious disease surveillance, antimicrobial resistance monitoring, and cancer genomics. The task of reconstructing full genomic sequences from fragmented reads, can be framed as a large scale combinatorial optimisation problem. Recent advances in quantum computing have introduced new…
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon + 5 more
Although probabilistic computing offers a route to quantum-inspired optimization at room temperature, existing probabilistic bits (p-bits) often depend on non-CMOS devices or circuit-intensive randomness. Here, we report a CMOS-compatible p-bit that harnesses intrinsic random telegraph noise (RTN) in a fully depleted…
James Liddle‐Wesolowski, Konosuke Shimazaki, Jiyun Kim, Benjamin Whitefield + 4 more
Nanoscale thermometry and magnetometry are in high demand across a wide range of scientific and technological applications. In this context, optically addressable spins in solids have emerged at the forefront of on-chip quantum sensing. However, simultaneous quantum sensing of multiple parameters (e.g., temperature and…
Jose R. Alves, Manfred Lindner, Farinaldo S. Queiroz, Manoel S. Vasconcelos
Molecular magnets, although analogous to familiar macroscopic magnets, offer a platform for next generation magnetic storage technologies with far higher data densities and prospective applications in quantum information science. When exposed to an external magnetic field, single molecule magnets enter a metastable…