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Surface codes: Towards practical large-scale quantum computation
This article provides an introduction to surface code quantum computing. We first estimate the size and speed of a surface code quantum computer. We then introduce the concept of the stabilizer,
Quantum supremacy using a programmable superconducting processor
TLDR
Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.
Scalable Quantum Simulation of Molecular Energies
We report the first electronic structure calculation performed on a quantum computer without exponentially costly precompilation. We use a programmable array of superconducting qubits to compute the
High-threshold universal quantum computation on the surface code
We present a comprehensive and self-contained simplified review of the quantum computing scheme of Phys. Rev. Lett. 98, 190504 (2007), which features a 2-D nearest neighbor coupled lattice of qubits,
State preservation by repetitive error detection in a superconducting quantum circuit
TLDR
The protection of classical states from environmental bit-flip errors is reported and the suppression of these errors with increasing system size is demonstrated, motivating further research into the many challenges associated with building a large-scale superconducting quantum computer.
Superconducting quantum circuits at the surface code threshold for fault tolerance
TLDR
The results demonstrate that Josephson quantum computing is a high-fidelity technology, with a clear path to scaling up to large-scale, fault-tolerant quantum circuits.
Surface code quantum computing by lattice surgery
In recent years, surface codes have become a leading method for quantum error correction in theoretical large-scale computational and communications architecture designs. Their comparatively high
Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity
We construct quantum circuits which exactly encode the spectra of correlated electron models up to errors from rotation synthesis. By invoking these circuits as oracles within the recently introduced
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
TLDR
The application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algorithm (QAOA) is demonstrated and an approximation ratio is obtained that is independent of problem size and for the first time, that performance increases with circuit depth.
Implementation of Shor's algorithm on a linear nearest neighbour qubit array
TLDR
A circuit implementing Shor's factorisation algorithm designed for such a linear nearest neighbour architecture with interaction restrictions, which is identical to leading order to that possible using an architecture that can interact arbitrary pairs of qubits.
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