Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Error Thresholds for Arbitrary Pauli Noise
Johannes Bausch, Felix Leditzky·Oct 1, 2019
The error threshold of a one-parameter family of quantum channels is defined as the largest noise level such that the quantum capacity of the channel remains positive. This in turn guarantees the existence of a quantum error correction code for noise...
Novel reconciliation protocol based on spinal code for continuous-variable quantum key distribution
Xuan Wen, Qiong Li, Haokun Mao +3 more·Sep 27, 2019
Reconciliation is a crucial procedure in post-processing of continuous-variable quantum key distribution (CV-QKD) system, which is used to make two distant legitimate parties share identical corrected keys. The adaptive reconciliation is necessary fo...
Adiabatic electron charge transfer between two quantum dots in presence of 1/f noise
Jan A. Krzywda, Ł. Cywiński·Sep 25, 2019
Controlled transfer of a single electron through a chain of quantum dots has been recently achieved in GaAs and Si/SiGe based quantum dots, opening prospects for turning stationary spin qubits into mobile ones, and solving in this way the problem of ...
Dynamically corrected gates suppressing spatiotemporal error correlations as measured by randomized benchmarking
C. Edmunds, Cornelius Hempel, R. Harris +3 more·Sep 24, 2019
Quantum error correction provides a path to large-scale quantum computers, but is built on challenging assumptions about the characteristics of the underlying errors. In particular, the mathematical assumption of statistically independent errors in q...
Hybrid quantum error correction in qubit architectures
L. B. Kristensen, M. Kjaergaard, C. K. Andersen +1 more·Sep 19, 2019
Noise and errors are inevitable parts of any practical implementation of a quantum computer. As a result, large-scale quantum computation will require ways to detect and correct errors on quantum information. Here, we present such a quantum error cor...
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms
Jonas M. Kübler, A. Arrasmith, L. Cincio +1 more·Sep 19, 2019
Variational hybrid quantum-classical algorithms (VHQCAs) have the potential to be useful in the era of near-term quantum computing. However, recently there has been concern regarding the number of measurements needed for convergence of VHQCAs. Here, ...
Fault-tolerant quantum error correction on near-term quantum processors using flag and bridge qubits
L. Lao, C. G. Almudéver·Sep 17, 2019
Fault-tolerant (FT) computation by using quantum error correction (QEC) is essential for realizing large-scale quantum algorithms. Devices are expected to have enough qubits to demonstrate aspects of fault tolerance in the near future. However, these...
Error-transparent operations on a logical qubit protected by quantum error correction
Y. Ma, Yang Xu, X. Mu +8 more·Sep 15, 2019
Universal quantum computation1 is striking for its unprecedented capability in processing information, but its scalability is challenging in practice because of the inevitable environment noise. Although quantum error correction (QEC) techniques2–8 h...
Benchmarking Noise Extrapolation with OpenPulse
J. Garmon, R. Pooser, E. Dumitrescu·Sep 11, 2019
Distilling precise estimates from noisy intermediate scale quantum (NISQ) data has recently attracted considerable attention. In order to augment digital qubit metrics, such as gate fidelity, we discuss analog error mitigability, i.e. the ability to ...
Exact and Practical Pattern Matching for Quantum Circuit Optimization
Raban Iten, Romain Moyard, Tony Metger +2 more·Sep 11, 2019
Quantum computations are typically performed as a sequence of basic operations, called quantum gates. Different gate sequences, called quantum circuits, can implement the same overall quantum computation. Since every additional quantum gate takes tim...
Cayley path and quantum computational supremacy: A proof of average-case #P-hardness of Random Circuit Sampling with quantified robustness
R. Movassagh·Sep 11, 2019
A one-parameter unitary-valued interpolation between any two unitary matrices is constructed based on the Cayley transformation, which extends our work. The entries of the interpolated unitaries are shown to be low-degree rational functions in the pa...
Noise-robust exploration of quantum matter on near-term quantum devices
J. Borregaard, M. Christandl, Daniel Stilck Francca·Sep 10, 2019
We describe a resource-efficient approach to studying many-body quantum states on noisy, intermediate-scale quantum devices. We employ a sequential generation model that allows to bound the range of correlations in the resulting many-body quantum sta...
Robust quantum control in games: An adversarial learning approach
Xiaozhen Ge, Haijin Ding, H. Rabitz +1 more·Sep 5, 2019
High-precision operation of quantum computing systems must be robust to uncertainties and noises in the quantum hardware. In this paper, we show that through a game played between the uncertainties (or noises) and the controls, adversarial uncertaint...
QCOR
Tiffany M. Mintz, A. McCaskey, E. Dumitrescu +3 more·Sep 5, 2019
Quantum computing (QC) is an emerging computational paradigm that leverages the laws of quantum mechanics to perform elementary logic operations. Existing programming models for QC were designed with fault-tolerant hardware in mind, envisioning stand...
Quantum classifier with tailored quantum kernel
Carsten Blank, D. Park, J. Rhee +1 more·Sep 5, 2019
Kernel methods have a wide spectrum of applications in machine learning. Recently, a link between quantum computing and kernel theory has been formally established, opening up opportunities for quantum techniques to enhance various existing machine-l...
Effects of Quantum Noise on Quantum Approximate Optimization Algorithm
Cheng 程 Xue 薛, Z. Chen 陈, Y. Wu 吴 +1 more·Sep 5, 2019
The quantum-classical hybrid algorithm is a promising algorithm with respect to demonstrating the quantum advantage in noisy-intermediate-scale quantum (NISQ) devices. When running such algorithms, effects due to quantum noise are inevitable. In our ...
Optimal Quantum Control with Poor Statistics
F. Sauvage, F. Mintert·Sep 3, 2019
Learning how to control a quantum system based on experimental data can help us to exceed the limitations imposed by theoretical modelling. Due to the intrinsic probabilistic nature of quantum mechanics, it is fundamentally necessary to repeat measur...
Classifying single-qubit noise using machine learning
Travis L. Scholten, Yi-Kai Liu, Kevin C. Young +1 more·Aug 30, 2019
Quantum characterization, validation, and verification (QCVV) techniques are used to probe, characterize, diagnose, and detect errors in quantum information processors (QIPs). An important component of any QCVV protocol is a mapping from experimental...
Quantum-classical hybrid algorithm using an error-mitigating N -representability condition to compute the Mott metal-insulator transition
Scott E. Smart, D. Mazziotti·Aug 28, 2019
Quantum algorithms for molecular electronic structure have been developed with lower computational scaling than their classical counterparts, but emerging quantum hardware is far from being capable of the coherence,connectivity and gate errors requir...
Quantum Circuit Transformation Based on Simulated Annealing and Heuristic Search
Xiang-Yu Zhou, Sanjiang Li, Yuan Feng·Aug 23, 2019
Quantum algorithm design usually assumes access to a perfect quantum computer with ideal properties like full connectivity, noise-freedom, and arbitrarily long coherence time. In noisy intermediate-scale quantum (NISQ) devices, however, the number of...