Genetic architecture of key traits for crop improvement: an overview of 25 years of curated genomic and breeding data.

The extensive accumulation of genetic, genomic, expression, and breeding data on species often results in valuable information being lost or difficult to access for breeding purposes. We report a recent effort to increase curation on data in the Genome Database for Rosaceae (GDR, rosaceae.org) and a case study that explores 25 years of curated data (from 1998 to 2023) to uncover the genetic architecture of key traits in species, provide actionable insights for breeding, and encourage the use of shared molecular data across species.

Experimental Quantum Advantage in the Odd-Cycle Game.

We report the first experimental demonstration of the odd-cycle game. We entangle two atoms separated by ∼2  m, and the players use them to win the odd-cycle game with a probability ∼26σ above that allowed by the best classical strategy. The experiment implements the optimal quantum strategy, is free of loopholes, and achieves 97.

Genome-Wide Genetic Architecture for Common Scab ( L.) Resistance in Diploid Potatoes.

Most cultivated potato () varieties are highly susceptible to common scab (). The disease is widespread in all major potato production areas and leads to high economic losses and food waste. Varietal resistance is seen as the most viable and sustainable long-term management strategy.

Building resource-efficient community databases using open-source software.

The unprecedented volume of big data being routinely generated for nonmodel crop species, coupled with advanced technology enabling the use of big data in breeding, gives further impetus for the need to have access to crop community databases, where all relevant data are curated and integrated. Funding for such databases is, however, insufficient and intermittent, resulting in the data being underutilized. While increased awareness of the importance of funding databases is important, it is practically necessary to find a more efficient way to build a community database.

Distributed quantum computing across an optical network link.

Distributed quantum computing (DQC) combines the computing power of multiple networked quantum processing modules, ideally enabling the execution of large quantum circuits without compromising performance or qubit connectivity. Photonic networks are well suited as a versatile and reconfigurable interconnect layer for DQC; remote entanglement shared between matter qubits across the network enables all-to-all logical connectivity through quantum gate teleportation (QGT). For a scalable DQC architecture, the QGT implementation must be deterministic and repeatable; until now, no demonstration has satisfied these requirements.