Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Hardness of Braided Quantum Circuit Optimization in the Surface Code
Kunihiro Wasa, S. Nishio, K. Suetsugu +4 more·Feb 1, 2023
Large-scale quantum information processing requires the use of quantum error-correcting codes to mitigate the effects of noise in quantum devices. Topological error-correcting codes, such as surface codes, are promising candidates, as they can be imp...
Vulnerability of fault-tolerant topological quantum error correction to quantum deviations in code space
Yuan-Yuan Zhao, Dong Liu·Jan 30, 2023
Abstract Quantum computers face significant challenges from quantum deviations or coherent noise, particularly during gate operations, which pose a complex threat to the efficacy of quantum error correction (QEC) protocols. Here we scrutinize the per...
Simulating lossy Gaussian boson sampling with matrix-product operators
Minzhao Liu, Changhun Oh, Junyu Liu +2 more·Jan 30, 2023
Gaussian boson sampling, a computational model that is widely believed to admit quantum supremacy, has already been experimentally demonstrated and is claimed to surpass the classical simulation capabilities of even the most powerful supercomputers t...
Deep Quantum Error Correction
Yoni Choukroun, Lior Wolf·Jan 27, 2023
Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing. QECC, as its classical counterpart (ECC), enables the reduction of error rates, by distributing quantum logical information across redundant p...
Robustness of Gauge Digitization to Quantum Noise
Erik J. Gustafson, Henry Lamm·Jan 24, 2023
Quantum noise limits the use of quantum memory in high energy physics simulations. In particular, it breaks the gauge symmetry of stored quantum states. We examine this effect for abelian and nonabelian theories and demonstrate that optimizing the di...
Gaussian conversion protocol for heralded generation of generalized Gottesman-Kitaev-Preskill states
Yu Zheng, A. Ferraro, A. F. Kockum +1 more·Jan 24, 2023
In the field of fault-tolerant quantum computing, continuous-variable systems can be utilized to protect quantum information from noise through the use of bosonic codes. These codes map qubit-type quantum information onto the larger bosonic Hilbert s...
Strategies for a practical advantage of fault-tolerant circuit design in noisy trapped-ion quantum computers
Sascha Heußen, L. Postler, M. Rispler +5 more·Jan 24, 2023
Fault-tolerant quantum error correction provides a strategy to protect information processed by a quantum computer against noise which would otherwise corrupt the data. A fault-tolerant universal quantum computer must implement a universal gate set o...
Scalable Quantum Error Correction for Surface Codes Using FPGA
Namitha Liyanage, Yue Wu, Alexander Dennisovich Deters +1 more·Jan 20, 2023
A fault-tolerant quantum computer must decode and correct errors faster than they appear. The faster errors can be corrected, the more time the computer can do useful work. The Union-Find (UF) decoder is promising with an average time complexity slig...
Quantum Neural Network Inspired Hardware Adaptable Ansatz for Efficient Quantum Simulation of Chemical Systems.
Xiongzhi Zeng, Yi Fan, Jie Liu +2 more·Jan 18, 2023
The variational quantum eigensolver is a promising way to solve the Schrödinger equation on a noisy intermediate-scale quantum (NISQ) computer, while its success relies on a well-designed wave function ansatz. Inspired by the quantum neural network, ...
Taking advantage of noise in quantum reservoir computing
L. Domingo, G. Carlo, F. Borondo·Jan 17, 2023
The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put into correcting or mitigating the induced errors. But, can these two fi...
Generalized Zurek's bound on the cost of an individual classical or quantum computation
Artemy Kolchinsky·Jan 17, 2023
We consider the minimal thermodynamic cost of an individual computation, where a single input x is mapped to a single output y. In prior work, Zurek proposed that this cost was given by K(x|y), the conditional Kolmogorov complexity of x given y (up t...
Hypergraphic Partitioning of Quantum Circuits for Distributed Quantum Computing
Waldemir Cambiucci, Regina Silveira, W. Ruggiero·Jan 13, 2023
When dealing with NISQ computers (Noise Intermediate Scale Quantum), it is widely accepted that distributing circuits among processing agents is an effective way to increase scalability with small machines. This approach can improve overall computati...
Improving the speed of variational quantum algorithms for quantum error correction
Fabio Zoratti, Giacomo De Palma, B. Kiani +4 more·Jan 12, 2023
We consider the problem of devising a suitable Quantum Error Correction (QEC) procedures for a generic quantum noise acting on a quantum circuit. In general, there is no analytic universal procedure to obtain the encoding and correction unitary gates...
Synchronization of Josephson junction in series array
A. Bhattacharyya·Jan 10, 2023
—Multi-qubit quantum processors coupled to net- working provides the state-of-the-art quantum computing plat-form. However, each qubit has unique eigenfrequency even though fabricated in the same process. To continue quantum gate operations besides t...
Design Optimization of Noise Filter Using Quantum Annealer
Akihisa Okada, H. Yoshida, K. Kidono +3 more·Jan 10, 2023
The use of quantum annealers in black-box optimization to obtain the desired properties of a product with a small number of trials has attracted attention. However, the application of this technique to engineering design problems has been limited. He...
Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations
João C. Getelina, N. Gomes, T. Iadecola +2 more·Jan 6, 2023
Scalable quantum algorithms for the simulation of quantum many-body systems in thermal equilibrium are important for predicting properties of quantum matter at finite temperatures. Here we describe and benchmark a quantum computing version of the min...
Benchmarking universal quantum gates via channel spectrum
Yanwu Gu, Wei-Feng Zhuang, Xudan Chai +1 more·Jan 5, 2023
Noise remains the major obstacle to scalable quantum computation. Quantum benchmarking provides key information on noise properties and is an important step for developing more advanced quantum processors. However, current benchmarking methods are ei...
Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction
Thomas Grurl, Christoph Pichler, Jürgen Fuß +1 more·Jan 1, 2023
Due to the fragility of quantum mechanical effects, real quantum computers are plagued by frequent noise effects that cause errors during computations. Quantum error-correcting codes address this problem by providing means to identify and correct cor...
Tailoring Fusion-Based Error Correction for High Thresholds to Biased Fusion Failures.
K. Sahay, J. Claes, S. Puri·Dec 30, 2022
We introduce fault-tolerant (FT) architectures for error correction with the XZZX cluster state based on performing measurements of two-qubit Pauli operators Z⊗Z and X⊗X, or fusions, on a collection of few-body entangled resource states. Our construc...
Robustness of variational quantum algorithms against stochastic parameter perturbation
D. Rabinovich, E. Campos, Soumik Adhikary +3 more·Dec 30, 2022
Variational quantum algorithms are tailored to perform within the constraints of current quantum devices, yet they are limited by performance-degrading errors. In this study, we consider a noise model that reflects realistic gate errors inherent to v...