Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Intrinsic correlations for statistical ensembles of Dirac-like structures
Caio Fernando e Silva, A. Bernardini·Jan 31, 2024
The Weyl-Wigner formalism for evaluating the intrinsic information of Dirac bispinors as correlated qubits (localized) in a magnetic field is investigated in the extension to statistical ensembles. The confining external field quantizes the quantum c...
Decoherence-Free Subspaces Cannot Prevent the Collapse of Wave Functions
Alfred Li, H. Rabitz, Benjamin Lienhard·Jan 31, 2024
Efficacious quantum information processing relies on extended coherence and precise control. Investigating the limitations surrounding quantum processors is vital for their advancement. In their operation, one challenge is inadvertent wave function c...
Quantum error correction realized by the renormalization group in scalar field theories
Takaaki Kuwahara, Ryota Nasu, Gota Tanaka +1 more·Jan 31, 2024
We demonstrate that quantum error correction is realized by the renormalization group in scalar field theories. We construct $q$-level states by using coherent states in the IR region. By acting on them the inverse of the unitary operator $U$ that de...
Enhanced observable estimation through classical optimization of informationally overcomplete measurement data: Beyond classical shadows
Joonas Malmi, Keijo Korhonen, Daniel Cavalcanti +1 more·Jan 31, 2024
In recent years, informationally complete measurements have attracted considerable attention, especially in the context of classical shadows. In the particular case of informationally over-complete measurements, for which the number of possible outco...
Towards enhancing quantum expectation estimation of matrices through partial Pauli decomposition techniques and post-processing
Dingjie Lu, Yangfan Li, Dax Enshan Koh +3 more·Jan 31, 2024
We introduce an approach for estimating the expectation values of arbitrary $n$-qubit matrices $M \in \mathbb{C}^{2^n\times 2^n}$ on a quantum computer. In contrast to conventional methods like the Pauli decomposition that utilize $4^n$ distinct quan...
Power Characterization of Noisy Quantum Kernels
Yabo Wang, Bo Qi, Xin Wang +2 more·Jan 31, 2024
Quantum kernel methods have been widely recognized as one of the promising quantum machine learning (QML) algorithms that have the potential to achieve quantum advantages. However, their capabilities may be severely degraded by inevitable noises in t...
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands
Yang Long, Haoran Xue, Baile Zhang·Jan 31, 2024
The topological classification of energy bands has laid the foundation for the discovery of various topological phases of matter in recent decades. While previous work focused on real-energy bands in Hermitian systems, recent studies have shifted att...
Randomly Monitored Quantum Codes
Dongjin Lee, Beni Yoshida·Jan 31, 2024
Quantum measurement has conventionally been regarded as the final step in quantum information processing, which is essential for reading out the processed information but collapses the quantum state into a classical state. However, recent studies hav...
In Situ‐Tunable Spin–Spin Interactions in a Penning Trap with In‐Bore Optomechanics
Joseph H. Pham, Julian Y. Z. Jee, A. Rischka +2 more·Jan 31, 2024
Experimental implementations of quantum simulation must balance control‐field‐induced decoherence with the controllability of the quantum system. The ratio of coherent interaction strength to decoherence induced by stimulated emission in atomic syste...
Realization of fractional quantum Hall state with interacting photons
Can Wang, Feng-Ming Liu, Ming-Cheng Chen +10 more·Jan 30, 2024
Fractional quantum Hall (FQH) states are known for their robust topological order and possess properties that are appealing for applications in fault-tolerant quantum computing. An engineered quantum platform would provide opportunities to operate FQ...
Quantum Time Dynamics Mediated by the Yang-Baxter Equation and Artificial Neural Networks.
Sahil Gulania, Yuri Alexeev, Stephen K. Gray +2 more·Jan 30, 2024
Quantum computing shows great potential, but errors pose a significant challenge. This study explores new strategies for mitigating quantum errors using artificial neural networks (ANNs) and the Yang-Baxter equation (YBE). Unlike traditional error mi...
QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers
Junyao Zhang, Hanrui Wang, Qi Ding +7 more·Jan 30, 2024
Quantum Computers face a critical limitation in qubit numbers, hindering their progression towards large-scale and fault-tolerant quantum computing. A significant challenge impeding scaling is crosstalk, characterized by unwanted interactions among n...
Tapestry of dualities in decohered quantum error correction codes
Kaixiang Su, Zhou Yang, Chao-Ming Jian·Jan 30, 2024
Quantum error correction (QEC) codes protect quantum information from errors due to decoherence. Many of them also serve as prototypical models for exotic topological quantum matters. Investigating the behavior of the QEC codes under decoherence shed...
Mixed State Variational Quantum Eigensolver for the Estimation of Expectation Values at Finite Temperature
Giuseppe Clemente·Jan 30, 2024
We introduce a novel hybrid quantum-classical algorithm for the near-term computation of expectation values in quantum systems at finite temperatures. This is based on two stages: on the first one, a mixed state approximating a fiducial truncated den...
Quantum Circuit Mapping for Universal and Scalable Computing in MZI-based Integrated Photonics
Y. Kwon, Alessio Baldazzi, Lorenzo Pavesi +1 more·Jan 30, 2024
Linear optical quantum computing (LOQC) offers a quantum computation paradigm based on well-established and robust technology and flexible environmental conditions following DiVincenzo's criteria. Within this framework, integrated photonics can be ut...
Toward quantum simulation of non-Markovian open quantum dynamics: A universal and compact theory
Xiang Li, S. Lyu, Yao Wang +3 more·Jan 30, 2024
Non-Markovianity, the intricate dependence of an open quantum system on its temporal evolution history, holds tremendous implications across various scientific disciplines. However, accurately characterizing the complex non-Markovian effects has pose...
Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
J. Nokkala, G. Giorgi, R. Zambrini·Jan 30, 2024
Machine learning techniques have achieved impressive results in recent years and the possibility of harnessing the power of quantum physics opens new promising avenues to speed up classical learning methods. Rather than viewing classical and quantum ...
Differentiated service entanglement routing for quantum networks
H. Han, Bo Liu, Bang-Ying Tang +4 more·Jan 30, 2024
The entanglement distribution networks with various topologies are mainly implemented by active wavelength multiplexing routing strategies, which directly transmit entangled photons between quantum network nodes. However, designing an entanglement ro...
Robust error accumulation suppression for quantum circuits
Tatsuki Odake, Philip Taranto, Nobuyuki Yoshioka +4 more·Jan 30, 2024
We present a \textit{robust error accumulation suppression} (\textbf{REAS}) technique to manage errors in quantum computers. Our method reduces the accumulation of errors in any quantum circuit composed of single- or two-qubit gates expressed as $e^{...
Symmetry-Enforced Quadratic Degradability Beyond Low Dimensions
Yun-Feng Lo, Yen-Chi Lee, Min-Hsiu Hsieh·Jan 29, 2024
Approximate degradability provides a powerful framework for bounding the quantum and private capacities of noisy quantum channels in regimes where exact degradability fails. While generic low-noise channels exhibit a non-degradability parameter that ...