Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Long-time simulations with high fidelity on quantum hardware
J. Gibbs, Kaitlin Gili, Zoe Holmes +5 more·Feb 8, 2021
Moderate-size quantum computers are now publicly accessible over the cloud, opening the exciting possibility of performing dynamical simulations of quantum systems. However, while rapidly improving, these devices have short coherence times, limiting ...
Compact gate-based read-out of multiplexed quantum devices with a cryogenic CMOS active inductor
L. Guevel, G. Billiot, S. D. Franceschi +4 more·Feb 8, 2021
In the strive for scalable quantum processors, significant effort is being devoted to the development of cryogenic classical hardware for the control and readout of a growing number of qubits. Here we report on a cryogenic circuit incorporating a CMO...
Quantum Divide and Compute: Exploring the Effect of Different Noise Sources
T. Ayral, François-Marie Le Régent, Zain Saleem +2 more·Feb 7, 2021
Our recent work (Ayral et al. in Proceedings of IEEE computer society annual symposium on VLSI, ISVLSI, pp 138–140, 2020. https://doi.org/10.1109/ISVLSI49217.2020.00034) showed the first implementation of the Quantum Divide and Compute (QDC) method, ...
Effects of quantum resources and noise on the statistical complexity of quantum circuits
Kaifeng Bu, Dax Enshan Koh, Lu Li +2 more·Feb 5, 2021
We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories. Measures of statistical complexity that we consider include the Rademacher complexity...
On the Sample Complexity of solving LWE using BKW-Style Algorithms
Qian Guo, Erik Mårtensson, Paul Stankovski Wagner·Feb 3, 2021
The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for s...
Error mitigation by training with fermionic linear optics
A. Montanaro, Stasja Stanisic·Feb 3, 2021
Noisy intermediate-scale quantum (NISQ) computers could solve quantum-mechanical simulation problems that are beyond the capabilities of classical computers. However, NISQ devices experience significant errors which, if not corrected, can render phys...
Noise and the Frontier of Quantum Supremacy
Adam Bouland, Bill Fefferman, Zeph Landau +1 more·Feb 2, 2021
Noise is the defining feature of the NISQ era, but it remains unclear if noisy quantum devices are capable of quantum speedups. Quantum supremacy experiments have been a major step forward, but gaps remain between the theory behind these experiments ...
Entanglement-Free Parameter Estimation of Generalized Pauli Channels
Junaid ur Rehman, Hyundong Shin·Feb 1, 2021
We propose a parameter estimation protocol for generalized Pauli channels acting on d-dimensional Hilbert space. The salient features of the proposed method include product probe states and measurements, the number of measurement configurations linea...
Impact of correlations and heavy tails on quantum error correction
B. D. Clader, Colin J. Trout, J. Barnes +3 more·Jan 27, 2021
We show that space- and time-correlated single-qubit rotation errors can lead to high-weight errors in a quantum circuit when the rotation angles are drawn from heavy-tailed distributions. This leads to a breakdown of quantum error correction, yieldi...
SpinQ Gemini: a desktop quantum computer for education and research
Shi-Yao Hou, Guanru Feng, Zipeng Wu +13 more·Jan 25, 2021
SpinQ Gemini is a commercial desktop quantum computer designed and manufactured by SpinQ Technology. It is an integrated hardware-software system. The first generation product with two qubits was launched in January 2020. The hardware is based on NMR...
Machine learning of high dimensional data on a noisy quantum processor
E. Peters, J. Caldeira, A. Ho +6 more·Jan 23, 2021
Quantum kernel methods show promise for accelerating data analysis by efficiently learning relationships between input data points that have been encoded into an exponentially large Hilbert space. While this technique has been used successfully in sm...
Quasiprobability decompositions with reduced sampling overhead
C. Piveteau, David Sutter, Stefan Woerner·Jan 22, 2021
Quantum error-mitigation techniques can reduce noise on current quantum hardware without the need for fault-tolerant quantum error correction. For instance, the quasiprobability method simulates a noise-free quantum computer using a noisy one, with t...
Practical quantum encryption protocol with varying encryption configurations
Junxu Li, Zixuan Hu, S. Kais·Jan 22, 2021
Quantum communication is an important application that derives from the burgeoning field of quantum information and quantum computation. Focusing on secure communication, quantum cryptography has two major directions of development, namely quantum ke...
A NEAT quantum error decoder
Hugo Th'eveniaut, Evert van Nieuwenburg·Jan 20, 2021
We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized ne...
Experimental realization of nonadiabatic holonomic single‐qubit quantum gates with two dark paths in a trapped ion
Ming-Zhong Ai, Sai Li, Ran He +5 more·Jan 19, 2021
For circuit-based quantum computation, experimental implementation of a universal set of quantum logic gates with high-fidelity and strong robustness is essential and central. Quantum gates induced by geometric phases, which depend only on global pro...
Scalable Neural Decoder for Topological Surface Codes.
Kai Meinerz, Chae-Yeun Park, S. Trebst·Jan 18, 2021
With the advent of noisy intermediate-scale quantum (NISQ) devices, practical quantum computing has seemingly come into reach. However, to go beyond proof-of-principle calculations, the current processing architectures will need to scale up to larger...
Efficient Construction of Quantum Physical Unclonable Functions with Unitary t-designs
N. Kumar, R. Mezher, E. Kashefi·Jan 14, 2021
Quantum physical unclonable functions, or QPUFs, are rapidly emerging as theoretical hardware solutions to provide secure cryptographic functionalities such as key-exchange, message authentication, entity identification among others. Recent works hav...
Error mitigation in quantum metrology via zero noise extrapolation
Zhuo Zhao, K. C. Tan·Jan 11, 2021
We consider Zero Noise Extrapolation (ZNE) as an error mitigation strategy in quantum metrology. It is shown that noise expansion can be systematically performed over sufficiently short time scales for general Markovian noise models described by the ...
Practical limits of error correction for quantum metrology
Nathan Shettell, W. Munro, D. Markham +1 more·Jan 8, 2021
Noise is the greatest obstacle in quantum metrology that limits it achievable precision and sensitivity. There are many techniques to mitigate the effect of noise, but this can never be done completely. One commonly proposed technique is to repeatedl...
Fault-Tolerant Continuous-Variable Measurement-based Quantum Computation Architecture
M. V. Larsen, C. Chamberland, Kyungjoo Noh +2 more·Jan 8, 2021
Continuous variable measurement-based quantum computation on cluster states has in recent years shown great potential for scalable, universal, and fault-tolerant quantum computation when combined with the Gottesman-Kitaev-Preskill (GKP) code and quan...