Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Influence of pinholes and weak-points in aluminum-oxide Josephson junctions
K. Bayros, M. Cyster, J. Smith +1 more·Nov 27, 2023
Josephson junctions are the key components used in superconducting qubits for quantum computing. The advancement of quantum computing is limited by a lack of stability and reproducibility of qubits which ultimately originates in the amorphous tunnel ...
Toward a Mølmer Sørensen gate with .9999 fidelity
Reinhold Blümel, A. Maksymov, Ming Li·Nov 27, 2023
Realistic fault-tolerant quantum computing at reasonable overhead requires two-qubit gates with the highest possible fidelity. Typically, an infidelity of ≲10−4 is recommended in the literature. Focusing on the phase-sensitive architecture used in la...
Taming Quantum Time Complexity
Aleksandrs Belovs, Stacey Jeffery, Duyal Yolcu·Nov 27, 2023
Quantum query complexity has several nice properties with respect to composition. First, bounded-error quantum query algorithms can be composed without incurring log factors through error reduction exactness. Second, through careful accounting thrift...
Mapping quantum circuits to shallow-depth measurement patterns based on graph states
Thierry N. Kaldenbach, Matthias Heller·Nov 27, 2023
The paradigm of measurement-based quantum computing (MBQC) starts from a highly entangled resource state on which unitary operations are executed through adaptive measurements and corrections ensuring determinism. This is set in contrast to the more ...
The Power of Adaptivity in Quantum Query Algorithms
Uma Girish, Makrand Sinha, Avishay Tal +1 more·Nov 27, 2023
Motivated by limitations on the depth of near-term quantum devices, we study the depth-computation trade-off in the query model, where depth corresponds to the number of adaptive query rounds and the computation per layer corresponds to the number of...
Peptide binding classification on quantum computers
Charles London, Douglas Brown, Wenduan Xu +5 more·Nov 27, 2023
We conduct an extensive study on using near-term quantum computers for a task in the domain of computational biology. By constructing quantum models based on parameterised quantum circuits, we perform sequence classification on a task relevant to the...
Enhancement of nonstabilizerness within indefinite causal order
Yin Mo, Chengkai Zhu, Zhiping Liu +2 more·Nov 27, 2023
In quantum computing, the nonstabilizerness of quantum operations is crucial for understanding and quantifying quantum speedups. In this study, we explore the phenomena of nonstabilizerness of the quantum SWITCH, a novel structure that allows quantum...
Frame change technique for phase transient cancellation.
Andrew Stasiuk, Pai Peng, Garrett Heller +1 more·Nov 27, 2023
The precise control of complex quantum mechanical systems can unlock applications ranging from quantum simulation to quantum computation. Controlling strongly interacting many-body systems often relies on Floquet Hamiltonian engineering that is achie...
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
Hanrui Wang, Pengyu Liu, Yilian Liu +4 more·Nov 27, 2023
Quantum hardware suffers from high error rates and noise, which makes directly running applications on them ineffective. Quantum Error Correction (QEC) is a critical technique towards fault tolerance which encodes the quantum information distributive...
Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas
Hanrui Wang, Daniel Bochen Tan, Pengyu Liu +4 more·Nov 26, 2023
Neutral atom arrays, particularly the reconfigurable field programmable qubit arrays (FPQA) with atom movement, show strong promise for quantum computing. FPQA has a dynamic qubit connectivity, facilitating cost-effective execution of long-range gate...
Techniques for learning sparse Pauli-Lindblad noise models
E. Berg, P. Wocjan·Nov 26, 2023
Error-mitigation techniques such as probabilistic error cancellation and zero-noise extrapolation benefit from accurate noise models. The sparse Pauli-Lindblad noise model is one of the most successful models for those applications. In existing imple...
Artificial neural network syndrome decoding on IBM quantum processors
Brhyeton Hall, S. Gicev, Muhammad Usman·Nov 26, 2023
Syndrome decoding is an integral but computationally demanding step in the implementation of quantum error correction for fault-tolerant quantum computing. Here, we report the development and benchmarking of Artificial Neural Network (ANN) decoding o...
Optimize the event selection strategy to study the anomalous quartic gauge couplings at muon colliders using the support vector machine and quantum support vector machine
Shuai Zhang, Yu-Chen Guo, Ji-Chong Yang·Nov 26, 2023
The search of the new physics (NP) beyond the Standard Model is one of the most important topics in current high energy physics. With the increasing luminosities at the colliders, the search for NP signals requires the analysis of more and more data,...
From nonreciprocal to charge-4e supercurrent in Ge-based Josephson devices with tunable harmonic content
Axel Leblanc, Chotivut Tangchingchai, Z. S. Momtaz +11 more·Nov 26, 2023
Hybrid superconductor(S)-semiconductor(Sm) devices bring a range of functionalities into superconducting circuits. In particular, hybrid parity-protected qubits and Josephson diodes were recently proposed and experimentally demonstrated. Such devices...
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays
Hanrui Wang, Pengyu Liu, Daniel Bochen Tan +6 more·Nov 25, 2023
The neutral atom array has gained prominence in quantum computing for its scalability and operation fidelity. Previous works focus on fixed atom arrays (FAAs) that require extensive SWAP operations for long-range interactions. This work explores a no...
Tensor-Network Formulation of the Traveling Salesman Problem and Variants
Alejandro Mata Ali, Iñigo Perez Delgado, Aitor Moreno Fdez. de Leceta·Nov 24, 2023
This work presents a tensor-network formulation of the Traveling Salesman Problem (TSP) and several of its variants. The approach represents candidate tours with tensor-network layers, weights them by Boltzmann factors, and enforces constraints throu...
Early Fault-Tolerant Quantum Computing
Amara Katabarwa, Katerina Gratsea, Athena Caesura +1 more·Nov 24, 2023
In recent years, research in quantum computing has largely focused on two approaches: near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum computing (FTQC). A growing body of research into early fault-tolerant quant...
Plasmonically engineered nitrogen-vacancy spin readout.
Harini Hapuarachchi, Francesco Campaioli, Fedor Jelezko +1 more·Nov 24, 2023
Ultra-precise readout of single nitrogen-vacancy (NV) spins holds promise for major advancements in quantum sensing, computing, and communication technologies. Here we present a rigorous open quantum theory capable of simultaneously capturing the opt...
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters
Zhao Song, Junze Yin, Ruizhe Zhang·Nov 24, 2023
Linear regression is one of the most fundamental linear algebra problems. Given a dense matrix $A \in \mathbb{R}^{n \times d}$ and a vector $b$, the goal is to find $x'$ such that $ \| Ax' - b \|_2^2 \leq (1+\epsilon) \min_{x} \| A x - b \|_2^2 $. Th...
Studying the phase diagram of the three-flavor Schwinger model in the presence of a chemical potential with measurement- and gate-based quantum computing
Stephan Schuster, S. Kühn, L. Funcke +4 more·Nov 24, 2023
We propose an ansatz quantum circuit for the variational quantum eigensolver (VQE), suitable for exploring the phase structure of the multiflavor Schwinger model in the presence of a chemical potential. Our ansatz is capable of incorporating relevant...