Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Utilizing Novel Quantum Counters for Grover's Algorithm to Solve the Dominating Set Problem
Jehn-Ruey Jiang, Qiao-Yi Lin·Dec 14, 2023
Grover's algorithm is a well-known unstructured quantum search algorithm run on quantum computers. It constructs an oracle and calls the oracle O($\sqrt N$) times to locate specific data out of N unsorted data. This represents a quadratic speedup com...
SPulseGen: Succinct pulse generator architecture maximizing gate fidelity for superconducting quantum computers
Ryosuke Matsuo, Kazuhisa Ogawa, Hidehisa Shiomi +6 more·Dec 14, 2023
This paper proposes a cost-effective architecture for an RF pulse generator for superconducting qubits. Most existing works use arbitrary waveform generators (AWGs) that require both a large amount of high-bandwidth memories and high-performance anal...
Block encoding of matrix product operators
Martina Nibbi, C. Mendl·Dec 14, 2023
Quantum signal processing combined with quantum eigenvalue transformation has recently emerged as a unifying framework for several quantum algorithms. In its standard form, it consists of two separate routines: block encoding, which encodes a Hamilto...
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martín Larocca, Diego Garc'ia-Mart'in +9 more·Dec 14, 2023
A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and ask a question that has been hinted at by many but not explicitly add...
Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound
Weiyuan Gong, Shuo Zhou, Tongyang Li·Dec 14, 2023
Digital quantum simulation has broad applications in approximating unitary evolution of Hamiltonians. In practice, many simulation tasks for quantum systems focus on quantum states in the low-energy subspace instead of the entire Hilbert space. In th...
Quantum improvement in Spatial Discretization
Saul Gonzalez, Parfait Atchade-Adelomou·Dec 14, 2023
Quantum algorithms have begun to surpass classical ones in several computation fields, yet practical application remains challenging due to hardware and software limitations. Here, we introduce a quantum algorithm that quadratically improves spatial ...
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System
Anthony D'Onofrio, A. Hossain, Lesther Santana +5 more·Dec 13, 2023
The rapid advancement of quantum computing has pushed classical designs into the quantum domain, breaking physical boundaries for computing-intensive and data-hungry applications Given its immense potential, quantum-based computing systems have attra...
Leveraging commuting groups for an efficient variational Hamiltonian ansatz
Abhinav Anand, Kenneth R. Brown·Dec 13, 2023
Efficiently calculating the low-lying eigenvalues of Hamiltonians, written as sums of Pauli operators, is a fundamental challenge in quantum computing. While various methods have been proposed to reduce the complexity of quantum circuits for this tas...
Radio Signal Classification by Adversarially Robust Quantum Machine Learning
Yanqiu Wu, Eromanga Adermann, Chandra Thapa +3 more·Dec 13, 2023
Radio signal classification plays a pivotal role in identifying the modulation scheme used in received radio signals, which is essential for demodulation and proper interpretation of the transmitted information. Researchers have underscored the high ...
Toolbox for nonreciprocal dispersive models in circuit QED
Lautaro Labarca, Othmane Benhayoune-Khadraoui, A. Blais +1 more·Dec 13, 2023
We provide a systematic method for constructing effective dispersive Lindblad master equations to describe weakly anharmonic superconducting circuits coupled by a generic dissipationless nonreciprocal linear system, with effective coupling parameters...
Performance of linear solvers in tensor-train format on current multicore architectures
Melven Röhrig-Zöllner, Manuel Joey Becklas, J. Thies +1 more·Dec 13, 2023
Tensor networks are a class of algorithms aimed at reducing the computational complexity of high-dimensional problems. They are used in an increasing number of applications, from quantum simulations to machine learning. Exploiting data parallelism in...
Towards determining the presence of barren plateaus in some chemically inspired variational quantum algorithms
Rui Mao, Guojing Tian, Xiaoming Sun·Dec 13, 2023
In quantum chemistry, the variational quantum eigensolver (VQE) is a promising algorithm for molecular simulations on near-term quantum computers. However, VQEs using hardware-efficient circuits face scaling challenges due to the barren plateau probl...
Understanding disorder in silicon quantum computing platforms: Scattering mechanisms in Si/SiGe quantum wells
Yi Huang, S. Das Sarma·Dec 12, 2023
Motivated by recent experiments on Si/SiGe quantum wells with a co-design of high electron mobility and large valley splitting [B. Paquelet Wuetz, et al., Nature Communications 14, 1385 (2023); D. D. Esposti, et al., arXiv:2309.02832], suitable for a...
Non-Markovian Feedback for Optimized Quantum Error Correction.
Matteo Puviani, Sangkha Borah, Remmy Zen +2 more·Dec 12, 2023
Bosonic codes allow the encoding of a logical qubit in a single component device, utilizing the infinitely large Hilbert space of a harmonic oscillator. In particular, the Gottesman-Kitaev-Preskill code has recently been demonstrated to be correctabl...
Quantum topological data analysis via the estimation of the density of states
Stefano Scali, Chukwudubem Umeano, O. Kyriienko·Dec 12, 2023
We develop a quantum topological data analysis (QTDA) protocol based on the estimation of the density of states (DOS) of the combinatorial Laplacian. Computing topological features of graphs and simplicial complexes is crucial for analyzing data sets...
Error Correcting States in Ultracold Atoms
Harry C. P. Kendell, Giacaomo Ferranti, Carrie A. Weidner·Dec 12, 2023
We demonstrate a method for encoding Gottesman-Kitaev-Preskill (GKP) error-correcting qubits with single ultracold atoms trapped in individual sites of a deep optical lattice. Using quantum optimal control protocols, we demonstrate the generation of ...
Accurate optimal quantum error correction thresholds from coherent information
Luis Colmenarez, Ze-Min Huang, Sebastian Diehl +1 more·Dec 11, 2023
Quantum error correcting (QEC) codes protect quantum information from decoherence as long as error rates fall below critical error thresholds. In general, obtaining thresholds implies simulating the QEC procedure using, in general, suboptimal decodin...
Symmetric derivatives of parametrized quantum circuits
David Wierichs, R. East, Martín Larocca +2 more·Dec 11, 2023
Symmetries are crucial for tailoring parametrized quantum circuits to applications, due to their capability to capture the essence of physical systems. In this work, we shift the focus away from incorporating symmetries in the circuit design and towa...
Precise Phase Error Rate Analysis for Quantum Key Distribution with Phase Postselection
Yao Zhou, Zhen-Qiang Yin, Yong-Guang Shan +5 more·Dec 11, 2023
Quantum key distribution (QKD) stands as a pioneering method for establishing information-theoretically secure communication channels by utilizing the principles of quantum mechanics. In the security proof of QKD, the phase error rate serves as a cri...
Secure and Efficient Entanglement Distribution Protocols for Near-Term Quantum Internet
Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail·Dec 10, 2023
Quantum information technology has the potential to revolutionize computing, communications, and security. To fully realize its potential, quantum processors with millions of qubits are needed, which are still far from being accomplished. Thus, it is...