Dynamically Generated Logical Qubits

TL;DR: Hardware that exploits qubit connectivity in higher than 2D topologies to realize more efficient quantum error correcting codes, modular architectures for scaling QPUs and parallelizing workloads, and software that evolves to make the intricacies of the technology invisible to the users and realize the goal of ubiquitous, frictionless quantum computing are seen.

TL;DR: In this paper , a complexity hierarchy on long-range entangled states based on the minimal number of measurement layers required to create the state, which are called "shots", is presented.

TL;DR: In this paper, the robustness of the honeycomb code was quantified using a correlated minimum-weight perfect-matching decoder, and it was shown that the code can reach the teraquop regime with only $600$ physical qubits.

TL;DR: In this article , the authors distill the concept of a quantum advantage into a simple framework to aid researchers in biology and medicine pursuing the development of quantum applications, and apply this framework to a wide variety of computational problems relevant to these domains in an effort to assess the potential of practical advantages in specific application areas and identify gaps that may be addressed with novel quantum approaches.

TL;DR: A two-dimensional quantum system with anyonic excitations can be considered as a quantum computer Unitary transformations can be performed by moving the excitations around each other Unitary transformation can be done by joining excitations in pairs and observing the result of fusion.

TL;DR: In this article, the authors proposed scalable quantum computers composed of qubits encoded in aggregates of four or more Majorana zero modes, realized at the ends of topological superconducting wire segments that are assembled into super-conducting islands with significant charging energy.

TL;DR: In this paper, a hybrid quantum circuit model consisting of both unitary gates and projective measurements is introduced, where the measurements are made at random positions and times throughout the system.

TL;DR: The growth of entanglement in a quantum system changes qualitatively when it is observed more frequently than a certain critical rate as discussed by the authors, an important insight for describing quantum systems computationally.