We construct quantum circuits that exactly encode the spectra of correlated electron models
up to errors from rotation synthesis. By invoking these circuits as oracles within the recently …

The restricted Boltzmann machine (RBM) is one of the fundamental building blocks of deep
learning. RBM finds wide applications in dimensional reduction, feature extraction, and …

We improve the number of T gates needed to perform an n-bit adder from $8 n+ O (1) $ to $4
n+ O (1) $. We do so via a" temporary logical-AND" construction which uses four T gates to …

We show that a simple modification of the surface code can exhibit an enormous gain in the
error correction threshold for a noise model in which Pauli Z errors occur more frequently …

We present a quantum-limited Josephson-junction-based three-wave-mixing parametric
amplifier, the superconducting nonlinear asymmetric inductive element (SNAIL) parametric …

In this paper we introduce a general fault-tolerant quantum error correction protocol using
flag circuits for measuring stabilizers of arbitrary distance codes. In addition to extending flag …

A fault-tolerant quantum computation requires an efficient means to detect and correct errors
that accumulate in encoded quantum information. In the context of machine learning, neural …

Surface codes are building blocks of quantum computing platforms based on 2D arrays of
qubits responsible for detecting and correcting errors. The error suppression achieved by …

Finding efficient decoders for quantum error correcting codes adapted to realistic
experimental noise in fault-tolerant devices represents a significant challenge. In this paper …

We present a planar surface-code-based scheme for fault-tolerant quantum computation
which eliminates the time overhead of single-qubit Clifford gates, and implements long …