Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Computing: Implementing Hitting Time for Coined Quantum Walks on Regular Graphs
Ellinor Wanzambi, Stina Andersson·Aug 5, 2021
In recent years, quantum walks have been widely researched and have shown exciting properties. One such is a quadratic speed-up in hitting time compared to its classical counterpart. In this paper, we design a quantum circuit for the MNRS algorithm, ...
Complexity analysis of quantum teleportation via different entangled channels in the presence of noise
Deepak Singh, Sanjeev Kumar, B. K. Behera·Aug 5, 2021
Quantum communication is one of the hot topics in quantum computing, where teleportation of a quantum state has a slight edge and gained significant attention from researchers. A large number of teleportation schemes have already been introduced so f...
Towards Demonstrating Fault Tolerance in Small Circuits Using Bacon-Shor Codes
Ariel Shlosberg, A. Polloreno, Graeme Smith·Aug 4, 2021
Quantum error correction is necessary to perform large-scale quantum computations in the presence of noise and decoherence. As a result, several aspects of quantum error correction have already been explored. These have been primarily studies of quan...
Variational quantum eigensolver for the Heisenberg antiferromagnet on the kagome lattice
Joris Kattemölle, Jasper van Wezel·Aug 4, 2021
Establishing the nature of the ground state of the Heisenberg antiferromagnet (HAFM) on the kagome lattice is well known to be a prohibitively difficult problem for classical computers. Here, we give a detailed proposal for a Variational Quantum Eige...
Implementation of an advanced dressing protocol for global qubit control in silicon
I. Hansen, A. Seedhouse, K. Chan +6 more·Aug 2, 2021
Quantum computing based on solid state spins allows for densely packed arrays of quantum bits. However, the operation of large-scale quantum processors requires a shift in paradigm toward global control solutions. Here, we report a proof-of-principle...
Pulse engineering of a global field for robust and universal quantum computation
I. Hansen, A. Seedhouse, Andre Saraiva +3 more·Aug 2, 2021
Global control strategies for arrays of qubits are a promising pathway to scalable quantum computing. A continuous-wave global field provides decoupling of the qubits from background noise. However, this approach is limited by variability in the para...
Performance of Teleportation-Based Error-Correction Circuits for Bosonic Codes with Noisy Measurements
Timo Hillmann, Fernando Quijandr'ia, A. Grimsmo +1 more·Aug 2, 2021
Bosonic quantum error-correcting codes offer a viable direction towards reducing the hardware overhead required for fault-tolerant quantum information processing. A broad class of bosonic codes, namely rotation-symmetric codes, can be characterized b...
Quantum machine learning of large datasets using randomized measurements
T. Haug, C. Self, Myungshik S. Kim·Aug 2, 2021
Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum kernels are i...
Pauli channels can be estimated from syndrome measurements in quantum error correction
Thomas Wagner, H. Kampermann, D. Bruß +1 more·Jul 29, 2021
The performance of quantum error correction can be significantly improved if detailed information about the noise is available, allowing to optimize both codes and decoders. It has been proposed to estimate error rates from the syndrome measurements ...
Performance analysis of a hybrid agent for quantum-accessible reinforcement learning
A. Hamann, S. Wölk·Jul 29, 2021
In the last decade quantum machine learning has provided fascinating and fundamental improvements to supervised, unsupervised and reinforcement learning (RL). In RL, a so-called agent is challenged to solve a task given by some environment. The agent...
Improved quantum error correction using soft information
C. Pattison, M. Beverland, M. Silva +1 more·Jul 28, 2021
The typical model for measurement noise in quantum error correction is to randomly flip the binary measurement outcome. In experiments, measurements yield much richer information - e.g., continuous current values, discrete photon counts - which is th...
Mitigating noise in digital and digital–analog quantum computation
Paula Garc'ia-Molina, Ana Martin, Mikel Garcia de Andoin +1 more·Jul 27, 2021
Noisy Intermediate-Scale Quantum (NISQ) devices lack error correction, limiting scalability for quantum algorithms. In this context, digital-analog quantum computing (DAQC) offers a more resilient alternative quantum computing paradigm that outperfor...
Digital quantum simulation of dynamical topological invariants on near-term quantum computers
Huai-Chun Chang, H. Hsu·Jul 25, 2021
Programmable quantum processors are suitable platforms for simulating quantum systems, of which topological phases are of particular interest. We simulate the quench dynamics of a one-dimensional system on IBM Q devices. The topological properties of...
Experimental demonstration of continuous quantum error correction
W. Livingston, M. Blok, E. Flurin +3 more·Jul 23, 2021
The storage and processing of quantum information are susceptible to external noise, resulting in computational errors. A powerful method to suppress these effects is quantum error correction. Typically, quantum error correction is executed in discre...
Qsun: an open-source platform towards practical quantum machine learning applications
Quoc Chuong Nguyen, Le Bin Ho, Lan Nguyen Tran +1 more·Jul 22, 2021
Currently, quantum hardware is restrained by noises and qubit numbers. Thus, a quantum virtual machine (QVM) that simulates operations of a quantum computer on classical computers is a vital tool for developing and testing quantum algorithms before d...
Quantum Bayesian Neural Networks
N J Berner, Vincent Fortuin, Jonas Landman·Jul 20, 2021
Quantum machine learning promises great speedups over classical algorithms, but it often requires repeated computations to achieve a desired level of accuracy for its point estimates. Bayesian learning focuses more on sampling from posterior distribu...
Heat-Driven Electron-Motion in a Nanoscale Electronic Circuit
S. Takada, G. Georgiou, E. Arrighi +8 more·Jul 20, 2021
We study the interaction between two closely spaced but electrically isolated quasi-onedimensional electrical wires by a drag experiment. In this work we experimentally demonstrate the generation of current in an unbiased (drag) wire, which results f...
Variational quantum linear solver with a dynamic ansatz
Hrushikesh Pramod Patil, Yulun Wang, P. Krstic·Jul 19, 2021
Variational quantum algorithms have found success in the NISQ era owing to their hybrid quantum-classical approach which mitigate the problems of noise in quantum computers. In our study we introduce the dynamic ansatz in the Variational Quantum Line...
Quantum Noise Sensing by Generating Fake Noise
Paolo Braccia, L. Banchi, F. Caruso·Jul 19, 2021
Noisy-Intermediate-Scale-Quantum (NISQ) devices are nowadays starting to become available to the final user, hence potentially allowing to show the quantum speedups predicted by the quantum information theory. However, before implementing any quantum...
Scqubits: a Python package for superconducting qubits
Peter Groszkowski, J. Koch·Jul 18, 2021
scqubits is an open-source Python package for simulating and analyzing superconducting circuits. It provides convenient routines to obtain energy spectra of common superconducting qubits, such as the transmon, fluxonium, flux, cos(2ϕ) and the 0-π qub...