Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,140 papers in 12 months (+1% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Ultrasensitive Calorimetric Detection of Single Photons from Qubit Decay
J. Pekola, B. Karimi·Oct 21, 2020
We describe a qubit linearly coupled to a heat bath, either directly or via a cavity. The main focus of the paper is on calorimetric detection in a realistic circuit, specifically a solid-state qubit coupled to a resistor as an absorber. The bath in ...
Bayesian Quantum Multiphase Estimation Algorithm
Valentin Gebhart, A. Smerzi, L. Pezzè·Oct 18, 2020
Quantum phase estimation (QPE) is the key subroutine of several quantum computing algorithms as well as a central ingredient in quantum computational chemistry and quantum simulation. While QPE strategies have focused on the estimation of a single ph...
Adaptive Circuit Learning for Quantum Metrology
Ziqi Ma, P. Gokhale, Tian-Xing Zheng +5 more·Oct 17, 2020
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical limit of sensing. In particular, we use optimization techniques to sear...
Bosonic quantum error correction codes in superconducting quantum circuits
W. Cai, Yuwei Ma, Wei Wang +2 more·Oct 17, 2020
Quantum information is vulnerable to environmental noise and experimental imperfections, hindering the reliability of practical quantum information processors. Therefore, quantum error correction (QEC) that can protect quantum information against noi...
Measurement Error Mitigation for Variational Quantum Algorithms
George S. Barron, C. J. Wood·Oct 16, 2020
Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum processors, however the quality of their results is greatly limited by noise. For this reason, various error mitigation techniques have emerged to deal with noise...
Readout rebalancing for near-term quantum computers
Rebecca Hicks, C. Bauer, B. Nachman·Oct 15, 2020
Readout errors are a significant source of noise for near term intermediate scale quantum computers. Mismeasuring a qubit as a 1 when it should be 0 occurs much less often than mismeasuring a qubit as a 0 when it should have been 1. We make the simpl...
Tensor lattice field theory for renormalization and quantum computing
Y. Meurice, Ryo Sakai, J. Unmuth-Yockey·Oct 13, 2020
We discuss the successes and limitations of statistical sampling for a sequence of models studied in the context of lattice QCD and emphasize the need for new methods to deal with finite-density and real-time evolution. We show that these lattice mod...
SchWARMA: A model-based approach for time-correlated noise in quantum circuits
Kevin M. Schultz, G. Quiroz, P. Titum +1 more·Oct 9, 2020
Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-kn...
Optimal Quantum Spatial Search with One-Dimensional Long-Range Interactions.
D. Lewis, Asmae Benhemou, Natasha Feinstein +2 more·Oct 8, 2020
Continuous-time quantum walks can be used to solve the spatial search problem, which is an essential component for many quantum algorithms that run quadratically faster than their classical counterpart, in O(sqrt[n]) time for n entries. However, the ...
Generative machine learning with tensor networks: Benchmarks on near-term quantum computers
M. Wall, M. Abernathy, G. Quiroz·Oct 7, 2020
Noisy, intermediate-scale quantum (NISQ) computing devices have become an industrial reality in the last few years, and cloud-based interfaces to these devices are enabling exploration of near-term quantum computing on a range of problems. As NISQ de...
Qubit-efficient entanglement spectroscopy using qubit resets
Justin Yirka, Yiğit Subaşı·Oct 6, 2020
One strategy to fit larger problems on NISQ devices is to exploit a tradeoff between circuit width and circuit depth. Unfortunately, this tradeoff still limits the size of tractable problems since the increased depth is often not realizable before no...
Efficient and Robust Certification of Genuine Multipartite Entanglement in Noisy Quantum Error Correction Circuits
A. Rodríguez-Blanco, A. Bermudez, Markus P. Müller +1 more·Oct 6, 2020
Ensuring the correct functioning of quantum error correction (QEC) circuits is crucial to achieve fault tolerance in realistic quantum processors subjected to noise. The first checkpoint for a fully operational QEC circuit is to create genuine multip...
Error Mitigation via Verified Phase Estimation
T. O’Brien, S. Polla, N. Rubin +5 more·Oct 6, 2020
The accumulation of noise in quantum computers is the dominant issue stymieing the push of quantum algorithms beyond their classical counterparts. We do not expect to be able to afford the overhead required for quantum error correction in the next de...
Optimal noise estimation from syndrome statistics of quantum codes
Thomas Wagner, H. Kampermann, D. Bruß +1 more·Oct 5, 2020
Quantum error correction allows to actively correct errors occurring in a quantum computation when the noise is weak enough. To make this error correction competitive information about the specific noise is required. Traditionally, this information i...
Modulated longitudinal gates on encoded spin qubits via curvature couplings to a superconducting cavity
R. Ruskov, C. Tahan·Oct 3, 2020
We propose entangling operations based on the energy curvature couplings of encoded spin qubits to a superconducting cavity, exploring the nonlinear qubit response to a gate voltage variation. For a two-qubit ($n$-qubit) entangling gate we explore ac...
Silicon Spin Qubit Control and Readout Circuits in 22nm FDSOI CMOS
R. Severino, Michele Spasaro, D. Zito·Oct 1, 2020
This paper investigates the implementation of microwave and mm-wave integrated circuits for control and readout of electron/hole spin qubits, as elementary building blocks for future emerging quantum computing technologies. In particular, it summariz...
Rapid characterisation of linear-optical networks via PhaseLift.
D. Suess, N. Maraviglia, R. Kueng +6 more·Oct 1, 2020
Linear-optical circuits are elementary building blocks for classical and quantum information processing with light. In particular, due to its monolithic structure, integrated photonics offers great phase-stability and can rely on the large scale manu...
Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
A. Hashim, R. Naik, A. Morvan +11 more·Oct 1, 2020
The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy intermediate-scale quantum (NISQ) computing, systematic miscalibrations, ...
Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
·Oct 1, 2020
We explore the effectiveness of high-depth, noiseless, parameteric quantum circuits by challenging their capability to simulate the ground states of quantum many-body Hamiltonians. Even a generic layered circuit Ansatz can approximate the ground stat...
Quantum computed moments correction to variational estimates
H. J. Vallury, Michael Jones, C. Hill +1 more·Sep 28, 2020
The variational principle of quantum mechanics is the backbone of hybrid quantum computing for a range of applications. However, as the problem size grows, quantum logic errors and the effect of barren plateaus overwhelm the quality of the results. T...