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Recycling qubits in near-term quantum computers

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TLDR
This paper proposes a protocol that can unitarily reset qubits when the circuit has a common convolutional form, thus dramatically reducing the spatial cost for implementing the contraction algorithm on general near-term quantum computers.
Abstract
The authors propose a protocol that can unitarily reset or recycle qubits when the circuit has a common convolutional form. This protocol could potentially dramatically reduce the spatial cost for implementing the contraction algorithm on general near-term quantum computers.

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Citations
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Qubit recycling and the path counting problem

Zijiang Song, +1 more
TL;DR: In this paper , the authors propose a solution to solve the problem of the problem: this paper ] of "uniformity" and "uncertainty" of the solution.
Posted Content

Quantum technologies need a quantum energy initiative

TL;DR: In this paper, the authors argue that quantum technologies must urgently plan for the creation and structuration of a transverse quantum energy initiative, connecting quantum thermodynamicists, computer scientists, experimenters and engineers.
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Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer

TL;DR: In this paper, the authors considered factoring integers and finding discrete logarithms on a quantum computer and gave an efficient randomized algorithm for these two problems, which takes a number of steps polynomial in the input size of the integer to be factored.
Journal ArticleDOI

Supplementary information for "Quantum supremacy using a programmable superconducting processor"

TL;DR: In this paper, an updated version of supplementary information to accompany "Quantum supremacy using a programmable superconducting processor", an article published in the October 24, 2019 issue of Nature, is presented.
Journal ArticleDOI

A variational eigenvalue solver on a photonic quantum processor

TL;DR: The proposed approach drastically reduces the coherence time requirements and combines this method with a new approach to state preparation based on ansätze and classical optimization, enhancing the potential of quantum resources available today and in the near future.
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