US Government Advisors Advocate for Increased International Quantum Technology Cooperation

Researchers at the US-based Lawrence Berkeley National Lab (LBNL) recently reported a new approach to error mitigation in a quantum computer (QC) that targets error-producing noise, a ubiquitous problem that can severely limit the performance and utility of existing and near-future quantum computers. The method developed at LBNL consists of taking an initial noisy target circuit and constructing an analogous estimation circuit that is configured specifically for accurate noise characterization. The information gathered from running the estimation circuit is then applied to correct the noise in the original target circuit.

Using biological building blocks in place of traditional materials to assemble computers has been a research topic for many years, but recently the first potential commercial use cases have begun to emerge, centered on storage for large data sets. The DNA Storage Alliance, created to promote a storage ecosystem based on synthesized DNA strands, recently shared their aspirations for the emerging technology that offers significant promise in durability, simplicity, cost, and density over traditional magnetic counterparts. The initial goals of the alliance are to educate the public and raise awareness about DNA-based storage. Further out, the alliance may pursue the creation of specifications and standards, such as encoding, physical interfaces, retention, and file systems, to ensure that DNA-based solutions complement existing storage hierarchies. The alliance notes that expectations for the growth rate of current storage mechanisms cannot keep pace with the rising demand for data storage, particularly where growing data retention and related data mining efforts are driving the need to save increasingly larger data sets for longer periods of time. Such requirements are well suited to DNA-based archive storage characteristics in applications including digital content creation, robotics, smart cities, autonomous vehicles, healthcare, astronomy, and climate science.