Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subtyping …

Suppressing errors is the central challenge for useful quantum computing, requiring
quantum error correction (QEC),,,–for large-scale processing. However, the overhead in the …

For the first time in history, we are seeing a branching point in computing paradigms with the
emergence of quantum processing units (QPUs). Extracting the full potential of computation …

In this perspective we discuss conditions under which it would be possible for a modest fault-
tolerant quantum computer to realize a runtime advantage by executing a quantum …

To run large-scale algorithms on a quantum computer, error-correcting codes must be able
to perform a fundamental set of operations, called logic gates, while isolating the encoded …

The manipulation of topologically ordered phases of matter to encode and process quantum
information forms the cornerstone of many approaches to fault-tolerant quantum computing …

Despite significant overhead reductions since its first proposal, magic state distillation is
often considered to be a very costly procedure that dominates the resource cost of fault …

Noise in quantum computing is countered with quantum error correction. Achieving optimal
performance will require tailoring codes and decoding algorithms to account for features of …

The requirements for fault-tolerant quantum error correction can be simplified by leveraging
structure in the noise of the underlying hardware. In this work, we identify a new type of …

We propose a measurement-based model for fault-tolerant quantum computation that can
be realized with one-dimensional cluster states and fusion measurements only; basic …